One of the critical challenges in wireless sensor networks (WSNs) is energy conservation. Topology control is a vital process to minimize energy consumption and maximize the network lifetime. In this paper, we propose a distributed topology protocol with transmission power adjustment based on harmony search and learning automata algorithms called HSLATC (Harmony Search and Learning Automata based Topology Control protocol). In HSLATC, proper transition radius of the sensor nodes can be determined. Because of the intelligent determining the transition radiuses of the nodes in the proposed protocol, it is able to provide the full connectivity in sparse deployment and decreases the energy consumption of the sensor network and prolongs the network lifetime. The simulation results show high efficiency of the proposed protocol.
Coverage and connectivity are two important requirements in Wireless Sensor Networks (WSNs). In this paper, we address the problem of network coverage and connectivity and propose an energy efficient approach based on genetic evolutionary algorithm for maintaining coverage and connectivity where the sensor nodes can have different sensing ranges and transmission ranges. The proposed algorithm is simulated and it' efficiency is demonstrated via different experiments.
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