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Modified Communication Parallel Compact Firefly Algorithm and Its Application

International Conference on Software Engineering and Knowledge Engineering (SEKE)(2022)

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Abstract
Coverage is an important indicator to measure the monitoring quality of Wireless Sensor Network (WSN).As a NP-hard problem, it is a mainstream method to introduce swarm intelligence algorithm to solve it.After analyzing the traditional Firefly Algorithm (FA), aiming at the defects of this algorithm, this paper proposes Modified Communication Parallel Firefly Algorithm (MCPFA) family algorithm, which improves the performance of the algorithm to a certain extent.On this basis, the compact optimization method is introduced and the Modified Communication Parallel Compact Firefly Algorithm (MCPCFA) family algorithm is proposed to further improve the overall function of traditional FA.The proposed algorithm is tested by several classical functions in CEC2013 test function set to verify the performance of the algorithm.Finally, a WSN node deployment scheme based on MCPCFA family algorithm is proposed to improve the network coverage.Through simulation experiments, compared with the traditional Partial Swarm Optimization (PSO), FA, Parallel FA (PFA) and Compact FA (CFA), MCPCFA family algorithm shows the best performance in WSN network layout.
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