Citation
Ab Aziz, Nor Azlina and Abdul Aziz, Nor Hidayati and Ab. Aziz, Kamarulzaman and Ibrahim, Zuwairie and Aliman, Mohamad Nizam (2019) Evaluation of Pure Gravitational Search Algorithm for Wireless Sensor Networks Coverage Maximization. In: 6th International Electrical Engineering Congress, iEECON 2018, 7-9 March 2018, Krabi, Thailand.
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Abstract
Coverage maximization is an important issue in wireless sensor networks (WSN). The coverage maximization can be achieved by repositioning the sensor nodes after their random deployment. Metaheuristics algorithms had been popular choice in tackling this problem. In this work, pure gravitational search algorithm (PureGSA) which is a variant of gravitational search algorithm (GSA) is used for WSN coverage maximization. The force calculation of GSA is amended in PureGSA so that Newton's law of gravity is properly obeyed and the initial gravitational constant is adjusted to avoid premature convergence. The results from five different size of WSN found that PureGSA is able to maximize the coverage and achieve better solution than GSA.
Item Type: | Conference or Workshop Item (Paper) |
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Uncontrolled Keywords: | Wireless sensor networks |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800-8360 Electronics |
Divisions: | Faculty of Engineering and Technology (FET) |
Depositing User: | Ms Suzilawati Abu Samah |
Date Deposited: | 21 Sep 2021 03:45 |
Last Modified: | 21 Dec 2022 06:21 |
URII: | http://shdl.mmu.edu.my/id/eprint/9022 |
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