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http://dx.doi.org/10.3837/tiis.2021.08.014

Prolonging Network Lifetime by Optimizing Actuators Deployment with Probabilistic Mutation Multi-layer Particle Swarm Optimization  

Han, Yamin (Shandong Provincial Key Laboratory of Network Based Intelligent Computing, University of Jinan)
Byun, Heejung (Department of Information and Telecommunications Engineering, The University of Suwon)
Zhang, Liangliang (Department of Information and Telecommunications Engineering, The University of Suwon)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.15, no.8, 2021 , pp. 2959-2973 More about this Journal
Abstract
In wireless sensor and actuator networks (WSANs), the network lifetime is an important criterion to measure the performance of the WSAN system. Generally, the network lifetime is mainly affected by the energy of sensors. However, the energy of sensors is limited, and the batteries of sensors cannot be replaced and charged. So, it is crucial to make energy consumption efficient. WSAN introduces multiple actuators that can be regarded as multiple collectors to gather data from their respective surrounding sensors. But how to deploy actuators to reduce the energy consumption of sensors and increase the manageability of the network is an important challenge. This research optimizes actuators deployment by a proposed probabilistic mutation multi-layer particle swarm optimization algorithm to maximize the coverage of actuators to sensors and reduce the energy consumption of sensors. Simulation results show that this method is effective for improving the coverage rate and reducing the energy consumption.
Keywords
Wireless sensor and actuator networks; actuators deployment; energy consumption; coverage; particle swarm optimization;
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