Izvorni znanstveni članak
https://doi.org/10.1080/00051144.2022.2123761
Optimal topology planning of electromagnetic waves communication network for underwater sensors using multi-objective optimization algorithms (MOOAs)
Hisham A. Shehadeh
; Departments of Computer Information System and Computer Sciences, Faculty of Computer Science and Informatics, Amman Arab University, Amman, Jordan
Iqbal H. Jebril
; Department of Mathematics, Faculty of Science and Information Technology, Al-Zaytoonah University of Jordan, Amman, Jordan
Xiaopeng Wang
; College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, People’s Republic of China
Shu-Chuan Chu
; College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, People’s Republic of China
Mohd Yamani Idna Idris
; Department of Computer System and Technology, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia
Sažetak
“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.
Ključne riječi
Extremely high frequency (EHF); very high frequency (VHF); electromagnetic wave (EMW); multi-objective optimization algorithms (MOOAs); multi-objective optimization problems (MOOPs)
Hrčak ID:
315752
URI
Datum izdavanja:
20.9.2022.
Posjeta: 63 *