Judul Prosiding (Artikel) : A Capacitive Model of Water Salinity Wireless Sensor System Based on WIFI- Microcontroller

(1)

LEMBAR

HASIL PENILAIAN SEJAWAT SEBIDANG ATAU PEER REVIEW KARYA ILMIAH : PROSIDING

Judul Prosiding (Artikel) : A Capacitive Model of Water Salinity Wireless Sensor System Based on WIFI- Microcontroller

Nama/Jumlah Penulis : Suryono, Widowati, Sapto P. Putro , Sunarno / 4 orang Status Pengusul : penulis ke- 2

Identitas Prosiding : a. Nama Prosiding : 2018 6th International Conference on Information and Communication Technology (ICoICT)

b. Nomor ISBN : Electronic ISBN: 978-1-5386-4572-7

USB ISBN: 978-1-5386-4571-0 Print on

Demand(PoD) ISBN: 978-1-5386-4573-4

c. Volume, nomor, bulan tahun : 12 November 2018

d. Penerbit : IEEE

e. DOI artikel (jika ada) : 10.1109/ICoICT.2018.8528796 f. Alamat web Prosiding

URL PROSIDING :https://ieeexplore.ieee.org/xpl/conhome/8509820/proceeding URL ARTIKEL : https://ieeexplore.ieee.org/document/8528796/authors#authors

g. Terindeks di Scopus : SJR 0.131 (2018)

https://www.scimagojr.com/journalsearch.php?q=21100782636&tip=sid&clean=0 Kategori Publikasi Prosiding : Prosiding Internasional Terindeks

(beri pada kategori yang tepat) Prosiding Internasional Prosiding Nasional

Hasil Penilaian Peer Review : Komponen Yang Dinilai

Nilai Reviewer

Nilai Rata-rata Reviewer I Reviewer II

a. Kelengkapan unsur isi prosiding (10%) 2,25 1,87 2.06

b. Ruang lingkup dan kedalaman pembahasan (30%) 6,00 6,25 6,12

c. Kecukupan dan kemutahiran data/informasi dan metodologi (30%)

5,75 6,25 6,00

d. Kelengkapan unsur dan kualitas terbitan/prosiding (30%)

6,35 5,00 5,67

Total = (100%) 20,35 19,37 19,85

Nilai Pengusul = 40% x1/3 2,71 2,58 2,64

Semarang, April 2020

Reviewer 2 Reviewer 1

Prof. Dr. St. Budi Waluya, M.Si Prof. Dr. Basuki Widodo, M.Sc

NIP. 196809071993031002 NIP. 19650506 1989031002

Unit kerja : Matematika FMIPA UNNES Unit kerja : Matematika FSAD ITS

(2)

LEMBAR

HASIL PENILAIAN SEJAWAT SEBIDANG ATAU PEER REVIEW KARYA ILMIAH : PROSIDING

Judul Prosiding (Artikel) : A Capacitive Model of Water Salinity Wireless Sensor System Based on WIFI- Microcontroller

Nama/Jumlah Penulis : Suryono, Widowati, Sapto P. Putro , Sunarno / 4 orang Status Pengusul : penulis ke- 2

Identitas Prosiding : a. Nama Prosiding : 2018 6th International Conference on Information and Communication Technology (ICoICT)

b. Nomor ISBN : Electronic ISBN: 978-1-5386-4572-7

USB ISBN: 978-1-5386-4571-0 Print on

Demand(PoD) ISBN: 978-1-5386-4573-4

c. Volume, nomor, bulan tahun : 12 November 2018

d. Penerbit : IEEE Explore

e. DOI artikel (jika ada) : 10.1109/ICoICT.2018.8528796 f. Alamat web Prosiding

URL PROSIDING :https://ieeexplore.ieee.org/xpl/conhome/8509820/proceeding URL ARTIKEL : https://ieeexplore.ieee.org/document/8528796/authors#authors

g. Terindeks di Scopus : SJR 0.131 (2018)

https://www.scimagojr.com/journalsearch.php?q=21100782636&tip=sid&clean=0 Kategori Publikasi Prosiding : Prosiding Internasional Terindeks

(beri pada kategori yang tepat) Prosiding Internasional Prosiding Nasional

Hasil Penilaian Peer Review :

Komponen Yang Dinilai

Nilai Maksimal Prosiding

Nilai Akhir Yang Diperoleh Prosiding

Internasional Terindeks

Prosiding Internasional

Prosiding Nasional

a. Kelengkapan unsur isi prosiding (10%) 2,50 2,25

b. Ruang lingkup dan kedalaman pembahasan (30%)

7,50 6,00

c. Kecukupan dan kemutahiran

data/informasi dan metodologi (30%)

7,50 5,75

d. Kelengkapan unsur dan kualitas terbitan/prosiding (30%)

7,50 6,35

Total = (100%) 25,00 20,35

Nilai Pengusul = 40% x1/3x 20,35 = 2,71 Catatan Penilaian artikel oleh Reviewer :

1. Kesesuaian dan kelengkapan unsur isi prosiding :

Penulisan artikel baik dan mengikuti standard penulisan artikel di 6th International Conference on Information and Communication Technology (ICoICT) 2018, yaitu abstract, Introduction, Result and Discussion (IRaD), Conclusion. Belum memuat Methodology dan Acknowledgement. Artikel ini didukung dengan referensi yang sesuai.

2. Ruang lingkup dan kedalaman pembahasan:

Lingkup bahasan dari artikel ini adalah bidang matematika terapan, khususnya pada bidang lingkungan.

Dalam artikel ini dibahas dengan cukup baik tentang pembuatan model sensor salinitas air kapasitif yang bekerja di jaringan WIFI. Relevansi hasil terkait dengan pemantauan salinitas air di perikanan dan pertanian.

3. Kecukupan dan kemutakhiran data/informasi dan metodologi :

Informasi yang disajikan cukup baru dan hasil yang diperoleh memuat substansi aplikasi yang penting dalam

bidang pertanian dan perikanan. Sumber gagasan penulis untuk artikel ini cukup banyak, komprehensif dan

update, yang lebih sepuluh tahun terakhir hanya 1 paper dari 7 sumber yang dirujuk. Methodologi belum

disebutkan dalam artikel ini.

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4. Kelengkapan unsur dan kualitas terbitan:

Artikel memenuhi standard penulisan dan isi untuk prosiding 6th International Conference on Information and Communication Technology (ICoICT) 2018. Artikel ini diterbitkan tahun 2018 di prosiding 6th International Conference on Information and Communication Technology (ICoICT) 2018 dan belum terindeks di Scopus.

Artikel-artikel yang terindeks scopus ada di prosiding 4th International Conference on Information and Communication Technology (ICoICT) 2016.

Surabaya, 17 April 2020 Reviewer 1

Prof. Dr. Basuki Widodo, M.Sc

NIP. 19650506 1989031002

Unit kerja : Matematika FSAD ITS

(4)

LEMBAR

HASIL PENILAIAN SEJAWAT SEBIDANG ATAU PEER REVIEW KARYA ILMIAH : PROSIDING

Judul Prosiding (Artikel) : A Capacitive Model of Water Salinity Wireless Sensor System Based on WIFI- Microcontroller

Nama/Jumlah Penulis : Suryono, Widowati, Sapto P. Putro , Sunarno / 4 orang Status Pengusul : penulis ke- 2

Identitas Prosiding : a. Nama Prosiding : 2018 6th International Conference on Information and Communication Technology (ICoICT)

b. Nomor ISBN : Electronic ISBN: 978-1-5386-4572-7

USB ISBN: 978-1-5386-4571-0 Print on

Demand(PoD) ISBN: 978-1-5386-4573-4

c. Volume, nomor, bulan tahun : 12 November 2018

d. Penerbit : IEEE Explore

e. DOI artikel (jika ada) : 10.1109/ICoICT.2018.8528796 f. Alamat web Prosiding

URL PROSIDING : https://ieeexplore.ieee.org/document/8528796/authors#authors URL ARTIKEL : https://eprints2.undip.ac.id/1950/1/ARTIKELC32-WIDOWATI.pdf

g. Terindeks di Scopus : SJR 0.131 (2018)

https://www.scimagojr.com/journalsearch.php?q=21100782636&tip=sid&clean=0

Kategori Publikasi Prosiding : Prosiding Internasional Terindeks (beri pada kategori yang tepat) Prosiding Internasional

Prosiding Nasional Hasil Penilaian Peer Review :

Komponen Yang Dinilai

Nilai Maksimal Jurnal Ilmiah

Nilai Akhir Yang Diperoleh Prosiding

Internasional Terindeks

Prosiding Internasional

Prosiding Nasional

a. Kelengkapan unsur isi prosiding (10%) 2,50 1,87

b. Ruang lingkup dan kedalaman pembahasan (30%)

7,50 6,25

c. Kecukupan dan kemutahiran

data/informasi dan metodologi (30%)

7,50 6,25

d. Kelengkapan unsur dan kualitas terbitan/prosiding (30%)

7,50 5,00

Total = (100%) 25,00 19,37

Nilai Pengusul = 40% x1/3x.19,37= 2,58 Catatan Penilaian artikel oleh Reviewer :

1. Kesesuaian dan kelengkapan unsur isi prosiding:

Kesesuaian dan kelengkapan unsur isi cukup baik. Artikel tersusun dalam kaidah penuliasan karta ilmiah. Terdiri atas 4 bagian: Introduction, System realization, Results and Discussion, Conclusion. Didukung 7 referensi yang up to date (kurang dalam jumlah)

2. Ruang lingkup dan kedalaman pembahasan:

Ruang lingkup dan kedalaman pembahasan cukup baik. Interpretasi hasil cukup baik dalam menunjukkan nilai kebaharuan. Pembahasan mengenai A Capacitive Model of Water Salinity Wireless Sensor System Based on WIFI- Microcontroller . Termasuk Matematika Terapan yang sesuai dengan bidang keilmuan pengusul.

3. Kecukupan dan kemutakhiran data/informasi dan metodologi :

Kecukupan dan kemutakhiran data/informasi dan metodologi baik. Terdapat 7 referensi yang up to date Sebagian besar

berupa jurnal (1 referensi tidak ada tahun). Metodologi cukup baik.

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4. Kelengkapan unsur dan kualitas terbitan:

Kelengkapan unsur dan kualitas terbitan cukup baik. Artikel diterbitakan dalam 2018 6th International Conference on Information and Communication Technology (ICoICT), Penerbit IEEE. Terindeks di Scopus: SJR 0.131 (2018).

Beberapa editorial kurang dilakukan dengan teliti.

Semarang, April 2020 Reviewer 2

Prof. Dr. St. Budi Waluya, M.Si NIP. 196809071993031002

Unit kerja : Matematika FMIPA UNNES

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Document details

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A capacitive model of water salinity wireless sensor system based on WIFI- microcontroller

(Conference Paper)

, , ,

Department of Physics, Diponegoro University, Semarang, Indonesia Department of Mathematics, Diponegoro University, Semarang, Indonesia Department of Biology, Diponegoro University, Semarang, Indonesia

Abstract

Monitoring for water salinity is very important in many industries, especially fishery and farming. Therefore, it is necessary to build a wireless water salinity sensor system capable of tackling obstacles in the field. This research proposes a low-cost wireless water salinity sensor system using parallel capacitive plate model. Capacitance effect that is proportional to salinity value is transformed into digital pulses using a circuit of an a-stable multivibrator. Frequency of these pulses is counted using a WIFI-microcontroller and inverse transform is carried out according to the relationship characteristics of salinity and frequency. Water Salinity data acquired by the WIFI-microcontroller are then transmitted to the Control Station Unit (CSU) via gateway WIFI. Testing results show maximum coverage range of meters to the gateway. Nonetheless, the use gateway WIFI can increase the coverage range of this wireless water salinity sensor. Calibration tests also indicate an error of . % in water salinity measurement by the instrument developed here. © IEEE.

SciVal Topic Prominence

Topic:

Prominence percentile: 66.761

Author keywords

Capacitive Characteristics Error Pulses Water salinity

Indexed keywords

Engineering controlled terms:

Controllers Errors Inverse transforms Microcontrollers Salinity measurement Vibrators Wireless local area networks (WLAN)

Engineering uncontrolled terms

Calibration tests Capacitance eﬀect Capacitive Capacitive models Characteristics Pulses Water salinity Wireless sensor system

Engineering main heading:

Capacitive sensors

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2018 6th International Conference on Information and Communication Technology, ICoICT 2018 8 November 2018, Article number 8528796, Pages 211-215

6th International Conference on Information and Communication Technology, ICoICT 2018;

Bandung; Indonesia; 3 May 2018 through 4 May 2018; Category numberCFP18ICZ-USB;

Code 142364

Suryono, S.^a  Widowati, W.^b  Putro, S.P.^c  Sunarno, S.^c 

a b c

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Fiber optic sensors | Optical ﬁbers | Salinity sensor

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Home Program TPC Committees Authors Other reviewers

Technical Program Committee

Shekh Faisal Abdul Latip, Univerisiti Teknikal Melaka, Malaysia

S. Agrawal, Delhi Technological University (DTU) Formerly Delhi College of Engineering (DCE), India Said Al Faraby, Telkom University, Indonesia

Mohammad Athar Ali, Aligarh Muslim University, India Dian Andriana, Indonesian Institute of Sciences, Indonesia

Kewalin Angkananon, University of Southampton, United Kingdom (Great Britain) Anditya Arifianto, Telkom University, Indonesia

Agus Arifin, Institut Teknologi Sepuluh Nopember, Indonesia

Gunawan Ariyanto, Universitas Muhammadiyah Surakarta, Indonesia

Mochamad Ashari, Institut Teknologi Sepuluh Nopember (ITS) - Surabaya, Indonesia Fazat Azizah, Institut Teknologi Bandung, Indonesia

Ari Barmawi, Institut Teknologi Telkom, Indonesia Chan Basaruddin, Universitas Indonesia, Indonesia Paskorn Champrasert, Chiang Mai University, Thailand

Hassan Chizari, Imperial College London, London, United Kingdom (Great Britain) Yahaya Coulibaly, Universiti Teknologi Malaisia, Malaysia

Xuewu Dai, Northumbria University, United Kingdom (Great Britain) Hans Dulimarta, Grand Valley State University, USA

Bayu Erfianto, TELKOM University, Indonesia

Vania Estrela, Universidade Federal Fluminense, Brazil Stefan Fischer, University of Lübeck, Germany

Maulahikmah Galinium, Swiss German University, Indonesia Rajesri Govindaraju, Bandung Institute of Technology, Indonesia Bambang Hidayat, Institut Teknologi Telkom, Indonesia

Haidi Ibrahim, Universiti Sains Malaysia, Malaysia Wisnu Jatmiko, University of Indonesia, Indonesia Goh Kah Ong Michael, Multimedia University, Malaysia Nattiya Kanhabua, Aalborg University, Denmark

A. Imam Kistijantoro, Institut Teknologi Bandung, Indonesia Muhamad Koyimatu, Pertamina University, Indonesia Edi Kurniawan, Indonesian Institute of Sciences, Indonesia Dana Sulistyo Kusumo, Telkom University, Indonesia Sian Lun Lau, Sunway University, Malaysia

Siong Hoe Lau, Multimedia University, Malaysia Soon Lay-Ki, Multimedia University, Malaysia Chien Sing Lee, Sunway University, Malaysia Huai Lian, University of Minnesota, USA

Chih-Wei Liu, National Chiao Tung University, Taiwan Yizhen Liu, Alibaba Group, USA

Ruli Manurung, University of Indonesia, Indonesia

Qinggang Meng, Loughborough University, United Kingdom (Great Britain) Mohd Zool Hilmie Mohamed Sawal, Universiti Teknologi MARA Kedah, Malaysia Ahmad Ali Muayyadi, Telkom University, Indonesia

Hafizi Muhamad Ali, Yanbu University College, Saudi Arabia Rinaldi Munir, Bandung Institute of Technology, Indonesia Azlin Nordin, International Islamic University Malaysia, Malaysia Anto Nugroho, BPPT, Indonesia

Anto Nugroho, Agency for the Assessment & Application of Technology (PTIK-BPPT), Indonesia Levy Nur, Telkom University, Indonesia

Johanna Octavia, Parahyangan Catholic University, Indonesia Ying Han Pang, Multimedia University, Malaysia

Suronapee Phoomvuthisarn, Mahanakorn University of Technology, Thailand Nakarin Pinpathomrat, Rajamangala University of Technology Thanyaburi, Thailand Geong-Sen Poh, MIMOS, Malaysia

Anton Satria Prabuwono, King Abdulaziz University, Saudi Arabia Ladda Preechaveerakul, Prince of Songkla University, Thailand Ayu Purwarianti, Bandung Institute of Technology, Indonesia Sazalinsyah Razali, Universiti Teknikal Malaysia Melaka, Malaysia

Giles Reger, The University of Manchester, United Kingdom (Great Britain) Vithyacharan Retnasamy, University Malaysia Perlis, Malaysia

David Rydeheard, The University of Manchester, United Kingdom (Great Britain) Norsaremah Salleh, International Islamic University Malaysia, Malaysia

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Farhana Sarker, University of Liberal Arts Bangladesh, Bangladesh Ali Selamat, Universiti Teknologi Malaysia, Malaysia

Muhamad Sadry Seman, International Islamic University Malaysia, Malaysia Zarina Shukur, Universiti Kebangsaan Malaysia, Malaysia

Priyanka Singh, University of Southampton, United Kingdom (Great Britain) Parman Sukarno, Telkom University, Indonesia

Dawam Dwi Jatmiko Suwawi, Telkom University, Indonesia Eniman Syamsuddin, Institut Teknologi Bandung, Indonesia Shuhaili Talib, International Islamic University Malaysia, Malaysia Noreffendy Tamaldin, Universiti Teknikal Malaysia Melaka, Malaysia Syh Yuan Tan, Multimedia University, Malaysia

Preecha Tangworakitthaworn, Mahidol University, Thailand Ong Thian Song, Multimedia University, Malaysia

Wan Fatinhamamah Wan Ahmad, Centre for Electromagnetic and Lightning Protection Research (CELP), Universiti Putra Malaysia, Malaysia

Wan Hussain Wan Ishak, Universiti Utara Malaysia, Malaysia Yixin Wang, Institute for Infocomm Research, Singapore Dwi Widyantoro, Institut Teknologi Bandung, Indonesia Heroe Wijanto, Telkom University, Indonesia

Gary Wills, University of Southampton, United Kingdom (Great Britain) SeungHwan Won, University of Southampton Malaysia Campus, Malaysia Leonard Yew, Multimedia University, Malaysia

Yu Yuan-Chih, National Taipei University of Technology;Chinese Culture University, Taiwan Muhammad Zarlis, Universitas Sumatera Utara, Indonesia

Abdelhak Zoubir, Darmstadt University of Technology, Germany

Organized by Telkom University & Multimedia University.

Prepared by EDAS Conference Services.

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THE 6TH ICOICT

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Deakin University, Australia

Professor Robin Doss is the Deputy Head of the School of Information Technology at Deakin University, Australia. Prior to joining Deakin University, Robin was a part of the technical services group at Ericsson Australia and a research engineer at RMIT University. He holds a Bachelor’s of Engineering from the University of Madras, India and a Masters and PhD from the Royal Melbourne Institute of Technology (RMIT), Australia.

Robin leads the Internet of Things (IoT) and Cyber Physical Systems(CPS) security program at the Deakin Centre for Cyber Security Research (CSSR) and is the Co-Director of the IoT research cluster at Deakin University, Australia. He leads a team of researchers and PhD students in the broad areas of communication systems and cyber security with a focus on

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Prof Robin Ram Mohan Doss

Keynote Speaker

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Faculty of Engineering and Technology, Multimedia University (MMU), Malaysia

Voon-Chet KOO graduated from University of Malaya in 1997, and received his MEngSc and PhD degrees in Microwave Engineering from the Multimedia University (MMU), Malaysia in 1999 and 2005, respectively. He is currently a full Professor of Multimedia University. His research interest includes remote sensing technologies, signal processing, and embedded system design. Prof Koo has been a principal consultant for various government agencies and engineering rms since 2000. He has published more than 100 papers in refereed journals, international conferences, 2 books, and 9 patents. He is also the recipient of the inaugural Young Engineer Award by the Institution of Engineers, Malaysia in 2004.

Prof. Koo has more than 20 years of experience in remote sensing and related technologies, particularly on high-resolution imaging system for environmental monitoring and earth resource management. He is a regular invited speaker in international conferences and has delivered guest lectures and

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Dr. Anwar graduated (cum laude) from the department of Electrical Engineering (Telecommunications), Institut Teknologi Bandung (ITB), Bandung, Indonesia in 2000 for his Bachelor degree (S.T.). He received Master and Doctor Degrees from Graduate School of Information Science, Nara Institute of Science and Technology (NAIST), Nara, Japan, in 2005 and 2008, respectively. He received best student paper award from the IEEE Radio and Wireless Symposium 2006 (RWS’06), California, USA, Best Paper Award of Indonesian Student Association (ISA 2007), Kyoto, Japan in 2007, Best Paper Presenter for the Advanced Technology in International conference on Sustainability for Human Security (SUSTAIN), Kyoto, October 2011, Indonesian Diaspora ”Award for Innovation”, Congress of Indonesian Diaspora, Los Angeles, USA, July 2012, Achmad Bakrie Award 2014, Jakarta, December 2014, and Anugerah of

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Home Program TPC Committees Authors Other reviewers

Committees

Steering Committee

A Adiwijaya (Telkom University, Indonesia) Ahmad Rafi (Multimedia University, Malaysia)

Ari Moesriami Barmawi (Telkom University, Indonesia) Dade Nurjanah (Telkom University, Indonesia)

Hairul A. Abdul-Rashid (Multimedia University, Malaysia) Heroe Wijanto (Telkom University, Indonesia)

Chin-Kuan Ho (Multimedia University, Malaysia)

Kiki Maulana Adhinugraha (Telkom University, Indonesia) Siong Hoe Lau (Multimedia University, Malaysia)

Mochamad Ashari (Telkom University, Indonesia) Maman Abdurohman (Telkom University, Indonesia) Suyanto Suyanto (Telkom University, Indonesia)

Conference Committee

General Chair

Parman Sukarno (Telkom University, Indonesia)

General Co-Chair

Ong Thian Song (Multimedia University, Malaysia)

Secretariat Chair

Siti Karimah (Telkom University, Indonesia) Shih Yin Ooi (Multimedia University, Malaysia)

TPC Chair

Bayu Erfianto (TELKOM University & School of Computing, Indonesia)

Track Chair

Ari Moesriami Barmawi (Telkom University, Indonesia) Soon Lay-Ki (Multimedia University, Malaysia)

Ying Han Pang (Multimedia University, Malaysia) Dana Kusumo (Telkom University, Indonesia)

Sazalinsyah Razali (Universiti Teknikal Malaysia Melaka, Malaysia)

Publication Chair

Tee Connie (Multimedia University, Malaysia)

Dawam Dwi Jatmiko Suwawi (Telkom University, Indonesia)

EDAS Administrator

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13

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An Architecture for M2M Communications over Cellular Networks Using Clustering and Hybrid

TDMA-NOMA

Anthonya Barsha Rozario

Department of Electrical and Electronic Engineering BRAC University

66 Mohakhali, Dhaka-1212, Bangladesh Email: [email protected]

Md. Farhad Hossain

Department of Electrical and Electronic Engineering Bangladesh University of Engineering and Technology

Dhaka-1205, Bangladesh Email: [email protected]

Abstract— Machine-to-Machine (M2M) communications have

now become a highly promising affiliate of the future fifth generation (5G) cellular networks. This paper proposes a novel architecture for M2M communications over cellular networks. k- mean clustering for machines as well as cluster head (CH) reselection method is applied in order to balance the power consumption within the machines to increase their battery life.

For communication between CH and member machines, time division multiple access (TDMA) is proposed. On the other hand, for communication between CH and BS, non-orthogonal multiple access (NOMA) technology is considered. Performance of the proposed architecture is evaluated through extensive MATLAB simulations. Results clearly demonstrates the capability of the proposed architecture in improving the lifetime of machines and reducing communication delays. Comparisons with other counterparts also attests superior energy efficiency and delay performance of the proposed architecture.

Keywords—M2M communications; Clustering; NOMA; 5G

Cellular networks; k-mean clustering.

I. I

NTRODUCTION

Machine-to-Machine (M2M) communications is considered as one of the next generation communication technologies for 5G cellular networks. M2M refers communication among enormous wireless machines without human interaction. The prime objective of M2M communications is to set up extensive connections among all machines distributed over a wide coverage area [1]. M2M is becoming increasingly attractive in cellular networks for offering huge variety of available connectivity solutions due to the enormous economic promise of the Internet of Things (IoT) [2]. However there remains a huge challenge for cellular M2M communication systems in future years as according to Cisco IBSG’s prediction, there will be 50 billion machines connected to the Internet by 2020 [3]. As a result, managing this numerous amount of machines simultaneously and to cope up with the access loads, more robust access technology will be required. The next generation cellular network will be dealing with several challenges - energy inefficiency, extensive time delay as well as the resource allocation difficulties.

Non-orthogonal multiple access (NOMA) owns an enormous potential to compete with the next generation

challenges than any other multiple access techniques. NOMA is able to serve multiple users simultaneously over same spectrum resources splitting each user in different power domain. It works by superimposing multiple user’s message signal into one signal by allotting them into different power domain at the transmitter side. Whereas at the receiver side, the superimposed signal is filtered through a successive interference cancellation (SIC) operation to detect and decode each user’s signal. For the 5G wireless networks, NOMA is the fundamental technology that has the ability to meet the heterogeneous demands on maximum reliability, reduced latency, enormous connectivity, enhanced fairness and high throughput [4].

Despite the employment of high potential multiple access technique like NOMA, energy management of billions of machines in the M2M system simultaneously is a massive task. There are chances of collision of data request of the machines as numerous machines try to establish connection with the BS. At the same time, the machines also result in fast energy drains. In such scenarios, clustering is one of the most effective ways to reduce the data congestion and decrease the power consumption of machines. Clustering improves the energy efficiency as well as the lifetime of machines [5]. A clustered network consists of a cluster head (CH) and a number of member machines. In each cluster group, member machines transmit their data to CH and then CH aggregates all the data and delivers to BS.

Recently, various advanced research works have been conducted on M2M communication in cellular networks. For instance, M2M communications is now being considered in software-defined cellular networks with wireless network function virtualization techniques to develop and improve system performance by managing network resources and spectrum efficiency [6]. The energy-efficient clustering issue in M2M systems is investigated in [7] by jointly considering cluster formation, transmission scheduling and power control.

This paper considered an optimization problem for minimizing the power consumption in a two-tier M2M network under correlated data gathering. On the other hand, authors in [8]

investigated an energy-efficient clustering and medium access control (MAC) for cellular-based M2M networks. Theoretical analyses are provided in this paper on the impact of clustering,

2018 6th International Conference on Information and Communication Technology (ICoICT)

18

(21)

Context-aware Ontological Hybrid Recommender System For IPTV

Mohammad Wahiduzzaman Khan

¹

, Gaik-Yee Chan

^2*

, Fang-Fang Chua

³

, Su-Cheng Haw

⁴

1,2,3,4

Faculty of Computing and Informatics Multimedia University, Cyberjaya, Malaysia

1

[email protected]

2

[email protected]

3

[email protected]

4

[email protected]

Muhsin Hassan

⁵

, Fatimah Almah Saaid

⁶

5,6

Customer Insight and Analytics, TM Unifi Telekom Malaysia, Kuala Lumpur, Malaysia

5

[email protected]

6

[email protected]

Abstract—With the huge growing amount of information

continuously produced, shared and available online, finding relevant and beneficial contents or services at a single or few clicks have become almost impossible. Most of the time, we will be returned with thousands of irrelevant web links. As such, a recommender system which recommends contents or services that likely meet the user’s needs is crucial, especially in the IPTV domain when the choices for program selection has no time and physical boundary restriction. The two major recommendation techniques are content based and collaborative filtering.

Nevertheless, such techniques still suffer from several problems such as cold start, data sparsity and over specialization. Our proposed system namely COHRS is a context-aware recommender system based on ontological profiling under the IPTV domain. Ontological approach improves user profiling process and thus improving the accuracy of a recommendation system. Experimental evaluations indicate that COHRS is able to overcome the drawbacks such as over specialization, data sparsity and inefficiency issue of most traditional recommender systems.

Keywords—clustering; collaborative filtering; content-based;

hybrid approach; ontology

I. I

NTRODUCTION

Internet Protocol TeleVision (IPTV) is a digital distribution of television service that is provided through ranges of internet protocol such as User Datagram Protocol (UDP) and Real-time Transport Protocol (RTP). The key difference between IPTV and traditional television service is that there is no time restriction. User can watch a particular program anytime he or she wants. IPTV also carries a wide variety of programs where user is not bound to any specific type. IPTV unlashes a new freedom to the users. But the wide variety of programs sometimes brings trouble for the user because most people are overwhelmed when they are provided with lots of choices in which some of these choices may not be of interest to them. Users may then make bad choice or no choice at all. Therefore, we require an intelligent system which can predict whether a certain program will be preferred by the user in considering the contextual information such as user’s age, gender, occupation, location and time of watching of the program. Such kind of system is known as contextual based recommender system. Additionally, contextual

information has to be linked in a more meaningful way ontologically so as to provide deeper knowledge about the users or users’ profile for better quality recommendation.

Generally, a recommender system is a system which helps individual in a community to find information and item which is most relevant to him or her [1]. Myriad research has been done in the field of recommender system since the middle of 90’s till recently. Recommendation system is divided into two major categories, namely content-based and collaborative filtering approach. But these two approaches suffer from various drawbacks such as the cold start problem whereby the recommender system has very little information about the new user or new item for recommendation; over specialization problem in which the recommender system only recommend certain type of recommendation, hence confining the user’s taste to a particular type of item; data sparsity problem whereby the recommender system is not able to recommend item to the targeted user due to small amount of historical transactional information of the targeted user; and last but not least, the gray sheep problem whereby the user having certain peculiar choice of item, so it is hard for traditional recommender system to recommend items to this type of users. Therefore, in this paper, a context-aware hybrid, by combining content-based and collaborative filtering approach and along with ontological user profiling under the IPTV domain, is proposed with the intention to resolve the problems of traditional recommender systems.

II. B

ACKGROUND AND

R

ELATED

W

ORKS

This section discusses the various approaches to recommendation, mainly content-based, collaborative filtering and hybrid.

A. Content-based Recommendation

Content-based recommendation is a recommendation approach whereby recommendations are provided on the basis of item-item similarity [2]. Item-item similarity can be calculated from item feature, properties or meaningful item description. For example, a movie’s genre, director, actor can be considered as item features and its synopsis can be considered as meaningful item description. After calculating item-item similarity, a user profile from the previous transactions of the targeted user could then be built. Hence

*Corresponding author: Email: [email protected] Phone #: +603 8312 5215

152

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Connectivity Control Algorithm for Autonomous Wireless Agents

Syifa Mutiara Hersista

The Sirindhorn International Thai-German Graduate School of Engineering, King Mongkut’s University of Technology North Bangkok, Bangkok, Thailand

Email: [email protected]

Abstract—In the power-limited sensor network, it is important

to optimize the power allocation while maintaining connectivity for each sensor node to guarantee reliable localization. In order to prolong lifetime of sensors, optimizing the power is very crucial while maintaining a proper number of connectivity to ensure a good localizability. In this paper, we propose a connectivity control algorithm, which consider the number of connectivity while optimizing power of sensors. We investigate the information of distribution node statistically, and formulate the relaxation method of utility function in order to get quasi- concave property. Numerically, we show our proposed algorithm gives better performance compared to the recent algorithms with target connectivity

k=7, while the other algorithm achieves zero

connection with the same trade-off parameter.

Index Terms—WSN localization, connectivity control, quasi-

concave function

I. I

NTRODUCTION

W IRELESS Sensor Networks (WSNs) has become a promising technology that is applicable in many fields due to its low cost and small size. Many researchers are cur- rently investigating the more challenging type of WSNs, one of them is underwater sensor networks (UWSNs) for explo- ration of inaccessible environments [1]. Many technologies for UWSNs have actually been proposed, such as medium access control and secure routing protocols, localization technique and time synchronization scheme [2].

Localization is the process determining or estimating the location of every sensor. Both in WSNs and UWSNs, local- ization plays a critical role, especially if the sensors are mobile.

Although the sensors are moving, the position of the sensors can be estimated over the period of time, statistically. For this time dependent application, it needs a technique to save the sensors power for efficiency-energy, while ranging the pair- wise distance between sensors.

Connectivity is necessary for ensuring the localization.

Connectivity can be obtained by measuring time of flight (ToF) between two sensors, which is when one of the sensors transmits the signal and a feedback signal is received by the other, thus obtaining the distance between them. Due to the sensors’ power limitation, using full-power in order to get the high connectivities is inefficient.

This work has been conducted during a research stay at RWTH Aachen University where the author was responsible for the implementation of the presented work.

With the considerations stated above, it is important to op- timize the transmit power to get a target connectivity number, in order to save the energy to prolong the lifetime of sensors.

Therefore, a power optimization algorithm which considers connectivity control is needed in WSNs localization.

A. Related Works

Recently, there are few works that study about power optimization algorithm based on connectivity term for ensuring localization. The popular research among those works is by using power control games with game theoretical approach which has been studied in [3]–[5].

In [3], the authors assume the distance between two sensors in two dimensional area based on time of arrival (TOA) mea- surements of an incoming signal. They propose supermodular- game for power allocations with positioning constraint, by using Geometric Dilution of Precision (GDOP) with linear pricing, as their approach. In [4], the same authors consider the receive signal strength (RSS) measurement that needed for localization. They minimize the transmit power of anchor nodes as well as perform the selection of a set of anchor nodes for positioning of the target node, while using a positioning error metric based on the GDOP as QoS to maintain an adjustable level of accuracy. However, in these methods the connectivity are not considered.

The authors of [5] propose connectivity reconstruction (CRG) game as a solution for power optimization in local- ization. The authors obtain a cost function with a localization reliability based on the distributed weighted multidimensional scaling (dw-MDS) algorithm, and the power as the energy trade-off. However, they do not consider the number of con- nectivity that after the powers reach the equilibrium.

B. Our Contribution

In this paper, we formulate the connectivity control al- gorithm (CCA) to optimize the transmit power of WSNs while considering energy-efficiency via a trade-off between connectivity and power. In particular, sensors are modeled as the agents that want to achieve a target connectivity while using the minimum possible power. Then, we assume the statistical knowledge to model our system and to exploit the information. To solve the optimization power, we determine the best power response of each agent. Our evaluations shows that CCA can obtain such a target connectivity than CRG [5]

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Development of Low-Cost Autonomous Surface Vehicles (ASV) for Watershed Quality Monitoring

Nugroho Setyo Wibowo Jurusan Teknologi Informasi

Politeknik Negeri Jember Jember, Indonesia [email protected]

Khafidurrohman Agustianto Jurusan Teknologi Informasi

Politeknik Negeri Jember Jember, Indonesia [email protected]

Prawidya Destarianto Jurusan Teknologi Informasi

Politeknik Negeri Jember Jember, Indonesia [email protected]

Syamsiar Kautsar Jurusan Teknologi Informasi

Politeknik Negeri Jember Jember, Indonesia [email protected]

Hendra Yufit Riskiawan Jurusan Teknologi Informasi

Politeknik Negeri Jember Jember, Indonesia [email protected]

Abstract— Water has always been an important part of

human life, in the context of the global environment, water management and conservation is the focus because it impacts on human survival in a fundamental way. Current condition of the Kalibaru River Basin: (a) water use for agriculture, plantation and community needs is increasingly increasing, (b) unstable availability of water, (c) excessive utilization that does not pay attention to carrying capacity, (d) potentially for erosion and (e) high sources of water pollution that affect the quality of raw materials of drinking water, ecosystem, economy and human health and social security. This study aims to develop a system consisting of hardware and software capable of monitoring the quality of watersheds, in this research used Kalibaru’s Watershed. This monitoring can be used by relevant agencies to conduct studies or even make policies related to quality watershed care.

Keywords— Low-Cost Autonomous Surface Vehicles (ASV), Watershed Quality Monitoring, Wireless Sensor Network.

I. I

NTRODUCTION

River as a water drainage is at the lowest position in the earth's landscape, so that river conditions are strongly associated with watersheds, the quality of river water is influenced by the quality of the water supply coming from the catchment area while the quality of the water supply from the catchment area is related to human activities that is in it [1].

Changes in water quality conditions in river flows are the impact of discharges from land use that have an impact on the hydrological conditions of a watershed [1][2][3].

Current condition of the Kalibaru River Watershed: (a) water use for agriculture, plantation and community needs is increasingly increasing, (b) unstable availability of water, (c) excessive utilization that does not pay attention to carrying capacity, (d) potentially for erosion and (e) high sources of water pollution that affect the quality of raw materials of drinking water, ecosystem, economy and human health and social security. Pollutant material may cause harm, if (1) the

amount exceeds the normal threshold; (2) existence at an improper time; and (3) existence in an inappropriate place.

The nature of the pollutant is (1) destructive for a while and (2) destructive for a long time. Pollution resulting from household and industrial waste causes the quality or quality of water from the watershed to become less or no longer functioning according to its designation (UU Pokok Pengelolaan Lingkungan Hidup No. 4 Tahun 1982). This research uses IoT (Internet of Things) to monitor watershed waters [4].

IoT is a concept where an object has the ability to transfer data over a network on the Service [5]. The development of IoT is very fast, one of them in the field of water quality monitoring. In its application IoT intersect closely with WSN (Wireless Sensor Network) [6][7]. WSN is a network of connections between the sensor nodes on the router and the sink node. WSN contains components (a) Sensing (b) processing (c) communication and (d) power [8][9].

This study aims to develop a low-cost system [10]

consisting of hardware and software capable of monitoring the quality of watersheds [11], in this research used Kalibaru’s Watershed. This monitoring can be used by relevant agencies to conduct studies or even make policies related to quality watershed care.

II. R

ELATED

W

ORK

Water has always been an important part of human life, in the context of the global environment, water management and conservation is the focus because it impacts on human survival in a fundamental way. The study of the use of the Internet of Thing (IoT) is widely developed, especially in relation to its ability to support humans in all its activities, one of them in the context of the environment. Research conducted by [12]

developed the design and implementation of Wireless Sensor Network (WSN) for in-situ Water Quality Monitoring (WQM), using ISFET Micro-sensors and mobile network communication, this research shows results as low-power,