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/VHF s...

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Vydáno v:Automatika Ročník 64; číslo 2; s. 315 - 326
Hlavní autoři: Shehadeh, Hisham A., Jebril, Iqbal H., Wang, Xiaopeng, Chu, Shu-Chuan, Idris, Mohd Yamani Idna
Médium: Journal Article Paper
Jazyk:angličtina
Vydáno: Ljubljana Taylor & Francis 03.04.2023
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Témata:
Algorithms
Electromagnetic radiation
electromagnetic wave (EMW)
Extremely high frequencies
Extremely high frequency (EHF)
Microbalances
multi-objective optimization algorithms (MOOAs)
multi-objective optimization problems (MOOPs)
Multiple objective analysis
Network topologies
Optimization algorithms
Pareto optimization
Qualitative analysis
Sensors
Underwater communication
Underwater detectors
Very high frequencies
very high frequency (VHF)
Wireless communications
Wireless networks
Wireless sensor networks
ISSN:0005-1144, 1848-3380
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Popis
Shrnutí:"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.
Bibliografie:ObjectType-Article-1
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content type line 14
315752
ISSN:0005-1144
1848-3380
DOI:10.1080/00051144.2022.2123761