Development of Energy Efficient and Optimized Coverage Area Network Configuration to Achieve Reliable WSN Network Using Meta-Heuristic Approaches

Avishek Banerjee, Victor Das, Arindam Biswas, Samiran Chattopadhyay and Utpal Biswas
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Avishek Banerjee: Asansol Engineering College, Asansol, India
Victor Das: Asansol Engineering College, Asansol, India
Arindam Biswas: Kazi Nazrul University, Asansol, India
Samiran Chattopadhyay: Jadavpur University, India
Utpal Biswas: University of Kalyani, India

International Journal of Applied Metaheuristic Computing (IJAMC), 2021, vol. 12, issue 3, 1-27

Abstract: Energy optimization and coverage area optimization of wireless sensor networks (WSN) are two major challenges to accomplish reliability optimization in the field of WSN. Reliability optimization in the field of WSN is directly connected to the performance and efficiency and consistency of the network. In this paper, the authors describe how these challenges can be resolved by designing an efficient WSN with the help of meta-heuristic algorithms. They have configured an optimized route/path using ant colony optimization (ACO) algorithm and deployed static WSN nodes. After configuring an efficient network, if we can maximize the coverage area, then we can ensure that the network is a reliable network. For coverage area optimization, they used a hybrid differential evolution-quantum behaved particle swarm optimization (DE-QPSO) algorithm. The result has been compared with existing literature, and the authors found good results applying those meta-heuristic and hybrid algorithms.

Date: 2021
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