Lifetime Enhancement in Wireless Sensor Networks through a Fuzzy Logic-Based Tabu Search Algorithm

Wireless sensor networks (WSNs) are utilized to monitor physical or environmental conditions to cooperatively send data to a main location or sink, where the data can be observed and analyzed. WSNs are usually self-configured and infrastructure-less. Therefore, network lifetime is a significant parameter for evaluating the performance of WSNs. The lifetime of a network is defined as the operational time of the network, which can perform the dedicated task(s) before the first sensor node or a group of sensor nodes runs out of energy. Accordingly, a fuzzy logic-based tabu search (TS) algorithm model is proposed to increase the lifetime of WSNs considering energy consumption and distance. The lifetime enhancement is formulated as an optimization problem. Simulation results show that the proposed TS algorithm outperforms existing algorithms such as particle swarm optimization (PSO), LEACH and hybrid LEACH-PSO by reducing the energy consumption resulting in extended network lifetime.