Optimal topology planning of electromagnetic waves communication network for underwater sensors using multi-objective optimization algorithms (MOOAs)

``Extremely High Frequency (EHF)'' and ``Very high frequency (VHF)'' bands are mainly utilized with ``Underwater Wireless Sensor Networks (UWSNs)'' for communication purposes. However, due to the mobility of underwater sensors in water because of the water tide, the EHF...

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Main Authors: Shehadeh, Hisham A., Jebril, Iqbal H., Wang, Xiaopeng, Chu, Shu-Chuan, Idris, Mohd Yamani Idna
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Published: Taylor & Francis 2023
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Online Access:http://eprints.um.edu.my/39436/
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spelling my.um.eprints.394362024-10-16T08:03:55Z http://eprints.um.edu.my/39436/ Optimal topology planning of electromagnetic waves communication network for underwater sensors using multi-objective optimization algorithms (MOOAs) Shehadeh, Hisham A. Jebril, Iqbal H. Wang, Xiaopeng Chu, Shu-Chuan Idris, Mohd Yamani Idna QA Mathematics QA75 Electronic computers. Computer science ``Extremely High Frequency (EHF)'' and ``Very high frequency (VHF)'' bands are mainly utilized with ``Underwater Wireless Sensor Networks (UWSNs)'' for communication purposes. However, due to the mobility of underwater sensors in water because of the water tide, the EHF/VHF signals may attenuate, lose or fade depending on the condition of the water. Therefore, it is a challenging stint of finding the optimal parameters of UWSN topology planning. In this paper, three ``Multi-Objective Optimization Algorithms (MOOAs)'' have been utilized to mitigate this problem, namely MOSFP, SPEA2 and NSGA-II. This work also intends to minimize path loss. On the other hand, it intends to maximize the power density of the network. Various network configurations, such as distance between sender and receiver, water conductivity and water permeability, are considered to evaluate the proposed objective models. Qualitative and quantitative tests have been conducted to analyze the results. From the analysis of the intersection point of Pareto-front of the objective functions, it is shown that all the algorithms find the optimal distance between transmitter and receiver, which balances the aforementioned maximization and minimization objective functions. This value is 36 m. Taylor & Francis 2023-04 Article PeerReviewed Shehadeh, Hisham A. and Jebril, Iqbal H. and Wang, Xiaopeng and Chu, Shu-Chuan and Idris, Mohd Yamani Idna (2023) Optimal topology planning of electromagnetic waves communication network for underwater sensors using multi-objective optimization algorithms (MOOAs). Automatika, 64 (2). pp. 315-326. ISSN 0005-1144, DOI https://doi.org/10.1080/00051144.2022.2123761 <https://doi.org/10.1080/00051144.2022.2123761>. 10.1080/00051144.2022.2123761
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic QA Mathematics
QA75 Electronic computers. Computer science
spellingShingle QA Mathematics
QA75 Electronic computers. Computer science
Shehadeh, Hisham A.
Jebril, Iqbal H.
Wang, Xiaopeng
Chu, Shu-Chuan
Idris, Mohd Yamani Idna
Optimal topology planning of electromagnetic waves communication network for underwater sensors using multi-objective optimization algorithms (MOOAs)
description ``Extremely High Frequency (EHF)'' and ``Very high frequency (VHF)'' bands are mainly utilized with ``Underwater Wireless Sensor Networks (UWSNs)'' for communication purposes. However, due to the mobility of underwater sensors in water because of the water tide, the EHF/VHF signals may attenuate, lose or fade depending on the condition of the water. Therefore, it is a challenging stint of finding the optimal parameters of UWSN topology planning. In this paper, three ``Multi-Objective Optimization Algorithms (MOOAs)'' have been utilized to mitigate this problem, namely MOSFP, SPEA2 and NSGA-II. This work also intends to minimize path loss. On the other hand, it intends to maximize the power density of the network. Various network configurations, such as distance between sender and receiver, water conductivity and water permeability, are considered to evaluate the proposed objective models. Qualitative and quantitative tests have been conducted to analyze the results. From the analysis of the intersection point of Pareto-front of the objective functions, it is shown that all the algorithms find the optimal distance between transmitter and receiver, which balances the aforementioned maximization and minimization objective functions. This value is 36 m.
format Article
author Shehadeh, Hisham A.
Jebril, Iqbal H.
Wang, Xiaopeng
Chu, Shu-Chuan
Idris, Mohd Yamani Idna
author_facet Shehadeh, Hisham A.
Jebril, Iqbal H.
Wang, Xiaopeng
Chu, Shu-Chuan
Idris, Mohd Yamani Idna
author_sort Shehadeh, Hisham A.
title Optimal topology planning of electromagnetic waves communication network for underwater sensors using multi-objective optimization algorithms (MOOAs)
title_short Optimal topology planning of electromagnetic waves communication network for underwater sensors using multi-objective optimization algorithms (MOOAs)
title_full Optimal topology planning of electromagnetic waves communication network for underwater sensors using multi-objective optimization algorithms (MOOAs)
title_fullStr Optimal topology planning of electromagnetic waves communication network for underwater sensors using multi-objective optimization algorithms (MOOAs)
title_full_unstemmed Optimal topology planning of electromagnetic waves communication network for underwater sensors using multi-objective optimization algorithms (MOOAs)
title_sort optimal topology planning of electromagnetic waves communication network for underwater sensors using multi-objective optimization algorithms (mooas)
publisher Taylor & Francis
publishDate 2023
url http://eprints.um.edu.my/39436/
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score 13.209306