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Wireless sensor network deployment performance based on FOA, PSO and TPSMA / Nurhidayah Kamal Akbar, Husna Zainol Abidin, and Ahmad Ihsan Mohd Yassin

One of the crucial challenges in deploying a Wireless Sensor Network (WSN) is the position of the sensor nodes. It may create coverage holes as the sensor nodes become redundant for each distribution. These coverage holes emerge when some of the points in terrain area is not covered by any sensor no...

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Main Authors: Kamal Akbar, Nurhidayah, Zainol Abidin, Husna, Mohd Yassin, Ahmad Ihsan
Format: Article
Language:English
Published: Universiti Teknologi MARA 2019
Subjects:
Telecommunication
Wireless LANs
Detectors. Sensors. Sensor networks
Online Access:http://ir.uitm.edu.my/id/eprint/48807/1/48807.pdf
http://ir.uitm.edu.my/id/eprint/48807/
https://jeesr.uitm.edu.my
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spelling my.uitm.ir.488072021-07-24T18:42:36Z http://ir.uitm.edu.my/id/eprint/48807/ Wireless sensor network deployment performance based on FOA, PSO and TPSMA / Nurhidayah Kamal Akbar, Husna Zainol Abidin, and Ahmad Ihsan Mohd Yassin Kamal Akbar, Nurhidayah Zainol Abidin, Husna Mohd Yassin, Ahmad Ihsan Telecommunication Wireless LANs Detectors. Sensors. Sensor networks One of the crucial challenges in deploying a Wireless Sensor Network (WSN) is the position of the sensor nodes. It may create coverage holes as the sensor nodes become redundant for each distribution. These coverage holes emerge when some of the points in terrain area is not covered by any sensor nodes. Hence, sensor node full connectivity may not be achieved and energy consumption will be increased in sensing and communicating due to the distance between the sensor nodes. This paper compares the random deployment with other two algorithms known as Fruit Fly Optimization (FOA) and Particles Swarm Optimization (PSO) Territorial Predator Scent Marking Algorithm (TPSMA) to solve the coverage hole problem. The performance of these algorithms are compared in terms of coverage, connectivity and energy consumption. A performance study was carried out using MATLAB and Network Simulator 2 (NS2) on Linux platform. Based on the simulation work that have been done, it can been seen that FOA outperforms PSO, TPSMA and random deployment. Universiti Teknologi MARA 2019-06 Article PeerReviewed text en http://ir.uitm.edu.my/id/eprint/48807/1/48807.pdf ID48807 Kamal Akbar, Nurhidayah and Zainol Abidin, Husna and Mohd Yassin, Ahmad Ihsan (2019) Wireless sensor network deployment performance based on FOA, PSO and TPSMA / Nurhidayah Kamal Akbar, Husna Zainol Abidin, and Ahmad Ihsan Mohd Yassin. Journal of Electrical and Electronic Systems Research (JEESR), 14. pp. 76-82. ISSN 1985-5389 https://jeesr.uitm.edu.my
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Telecommunication
Wireless LANs
Detectors. Sensors. Sensor networks
spellingShingle Telecommunication
Wireless LANs
Detectors. Sensors. Sensor networks
Kamal Akbar, Nurhidayah
Zainol Abidin, Husna
Mohd Yassin, Ahmad Ihsan
Wireless sensor network deployment performance based on FOA, PSO and TPSMA / Nurhidayah Kamal Akbar, Husna Zainol Abidin, and Ahmad Ihsan Mohd Yassin
description One of the crucial challenges in deploying a Wireless Sensor Network (WSN) is the position of the sensor nodes. It may create coverage holes as the sensor nodes become redundant for each distribution. These coverage holes emerge when some of the points in terrain area is not covered by any sensor nodes. Hence, sensor node full connectivity may not be achieved and energy consumption will be increased in sensing and communicating due to the distance between the sensor nodes. This paper compares the random deployment with other two algorithms known as Fruit Fly Optimization (FOA) and Particles Swarm Optimization (PSO) Territorial Predator Scent Marking Algorithm (TPSMA) to solve the coverage hole problem. The performance of these algorithms are compared in terms of coverage, connectivity and energy consumption. A performance study was carried out using MATLAB and Network Simulator 2 (NS2) on Linux platform. Based on the simulation work that have been done, it can been seen that FOA outperforms PSO, TPSMA and random deployment.
format Article
author Kamal Akbar, Nurhidayah
Zainol Abidin, Husna
Mohd Yassin, Ahmad Ihsan
author_facet Kamal Akbar, Nurhidayah
Zainol Abidin, Husna
Mohd Yassin, Ahmad Ihsan
author_sort Kamal Akbar, Nurhidayah
title Wireless sensor network deployment performance based on FOA, PSO and TPSMA / Nurhidayah Kamal Akbar, Husna Zainol Abidin, and Ahmad Ihsan Mohd Yassin
title_short Wireless sensor network deployment performance based on FOA, PSO and TPSMA / Nurhidayah Kamal Akbar, Husna Zainol Abidin, and Ahmad Ihsan Mohd Yassin
title_full Wireless sensor network deployment performance based on FOA, PSO and TPSMA / Nurhidayah Kamal Akbar, Husna Zainol Abidin, and Ahmad Ihsan Mohd Yassin
title_fullStr Wireless sensor network deployment performance based on FOA, PSO and TPSMA / Nurhidayah Kamal Akbar, Husna Zainol Abidin, and Ahmad Ihsan Mohd Yassin
title_full_unstemmed Wireless sensor network deployment performance based on FOA, PSO and TPSMA / Nurhidayah Kamal Akbar, Husna Zainol Abidin, and Ahmad Ihsan Mohd Yassin
title_sort wireless sensor network deployment performance based on foa, pso and tpsma / nurhidayah kamal akbar, husna zainol abidin, and ahmad ihsan mohd yassin
publisher Universiti Teknologi MARA
publishDate 2019
url http://ir.uitm.edu.my/id/eprint/48807/1/48807.pdf
http://ir.uitm.edu.my/id/eprint/48807/
https://jeesr.uitm.edu.my
_version_ 1706960441365757952
score 13.211869

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