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Integrated Environment of Metaheuristics for Optimal Data Collection in Wireless Sensor Network with Mobile Sink

Abstract : Maximizing the network lifetime and data collection are two major functions in WSN. For this aim, mobility is proposed as a solution to improve the data collection process and promote energy efficiency. In this paper, we focus on Sink mobility which has the role of data collection. The problem is how to find an optimal data collection trajectory for the Mobile Sink using approximate optimization techniques. To address this challenge, we propose an optimization model for the Mobile Sink to improve the data collection process and thus to extend the network lifetime of WSN. Our proposition is based on a multiobjective function using a Weighted Sum Method (WSM) by adapting two metaheuristics methods, Tabu Search (TS) and Simulated Annealing (SA), to this problem. To test our proposal by experiment, we designed and developed an Integrated Environment of Optimization and Simulation based on metaheuristics tool (IEOSM). The environment IEOSM helps us to determine the best optimization method in terms of optimal trajectory, execution time, and quality of data collection. The IEOSM also integrates a powerful simulation tool to evaluate the methods in terms of energy consumption, data collection, and latency.
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https://hal.univ-lorraine.fr/hal-03661120
Contributor : Maamar Zahra Connect in order to contact the contributor
Submitted on : Friday, May 6, 2022 - 3:41:32 PM
Last modification on : Friday, May 6, 2022 - 3:41:32 PM

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Maamar Zahra, Yulin Wang, Bouabdellah Kechar, Yasmine Derdour, Wenjia Ding. Integrated Environment of Metaheuristics for Optimal Data Collection in Wireless Sensor Network with Mobile Sink. Wireless Communications and Mobile Computing, Hindawi Publishing Corporation, 2018, 2018, pp.1-14. ⟨10.1155/2018/7413427⟩. ⟨hal-03661120⟩

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