A Self-Optimizing Scheme for Energy Balanced Routing in Wireless Sensor Networks Using SensorAnt
作者： Ahmed M. Shamsan Saleh , Borhanuddin Mohd Ali , Mohd Fadlee A. Rasid , Alyani Ismail
DOI: 10.3390/S120811307
关键词:
摘要: Planning of energy-efficient protocols is critical for Wireless Sensor Networks (WSNs) because the constraints on sensor nodes' energy. The routing protocol should be able to provide uniform power dissipation during transmission sink node. In this paper, we present a self-optimization scheme WSNs which utilize and optimize resources, especially batteries, achieve balanced energy consumption across all nodes. This method based Ant Colony Optimization (ACO) metaheuristic adopted enhance paths with best quality function. assessment function depends multi-criteria metrics such as minimum residual battery power, hop count average both route network. also distributes traffic load nodes throughout WSN leading reduced usage, extended network life time packet loss. Simulation results show that our performs much better than Energy Efficient Ant-Based Routing (EEABR) in terms consumption, balancing efficiency.
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