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Open AccessArticle

An Area Coverage and Energy Consumption Optimization Approach Based on Improved Adaptive Particle Swarm Optimization for Directional Sensor Networks

by 1,2 and 1,2,*
1
School of Automation, China University of Geosciences, Wuhan 430074, China
2
Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan 430074, China
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(5), 1192; https://doi.org/10.3390/s19051192
Received: 16 January 2019 / Revised: 10 February 2019 / Accepted: 1 March 2019 / Published: 8 March 2019
(This article belongs to the Special Issue Multi-Sensor Fusion and Data Analysis)
Coverage is a vital indicator which reflects the performance of directional sensor networks (DSNs). The random deployment of directional sensor nodes will lead to many covergae blind areas and overlapping areas. Besides, the premature death of nodes will also directly affect the service quality of network due to limited energy. To address these problems, this paper proposes a new area coverage and energy consumption optimization approach based on improved adaptive particle swarm optimization (IAPSO). For area coverage problem, we set up a multi-objective optimization model in order to improve coverage ratio and reduce redundancy ratio by sensing direction rotation. For energy consumption optimization, we make energy consumption evenly distribute on each sensor node by clustering network. We set up a cluster head selection optimization model which considers the total residual energy ratio and energy consumption balance degree of cluster head candidates. We also propose a cluster formation algorithm in which member nodes choose their cluster heads by weight function. We next utilize an IAPSO to solve two optimization models to achieve high coverage ratio, low redundancy ratio and energy consumption balance. Extensive simulation results demonstrate the our proposed approach performs better than other ones. View Full-Text
Keywords: directional sensor network; area coverage; cluster; particle swarm optimization; energy consumption balance directional sensor network; area coverage; cluster; particle swarm optimization; energy consumption balance
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MDPI and ACS Style

Peng, S.; Xiong, Y. An Area Coverage and Energy Consumption Optimization Approach Based on Improved Adaptive Particle Swarm Optimization for Directional Sensor Networks. Sensors 2019, 19, 1192. https://doi.org/10.3390/s19051192

AMA Style

Peng S, Xiong Y. An Area Coverage and Energy Consumption Optimization Approach Based on Improved Adaptive Particle Swarm Optimization for Directional Sensor Networks. Sensors. 2019; 19(5):1192. https://doi.org/10.3390/s19051192

Chicago/Turabian Style

Peng, Song; Xiong, Yonghua. 2019. "An Area Coverage and Energy Consumption Optimization Approach Based on Improved Adaptive Particle Swarm Optimization for Directional Sensor Networks" Sensors 19, no. 5: 1192. https://doi.org/10.3390/s19051192

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