Comprehensive Energy Efficient Algorithm for WSN
Keywords:Wireless Sensor Network (WSN), particle swarm optimization, ant colony optimization, energy efficiency
Wireless sensor networks has been widely used. Energy problem isÂ one of the important problems influencing the complete application. Sensor nodesÂ use batteries as power source and have quite limit lifetime. So, efficiency of energyÂ management becomes a key requirement in wireless sensor network design. Based onÂ particle swarm optimization and ant colony optimization, a comprehensive algorithmÂ with weight analysis has been proposed in the paper. In the algorithm, optimizationÂ method would be firstly used to determine the nodes number; then, particle Â swarmÂ optimization would be used to divide the networks into some clusters; finally, antÂ colony optimization is used to require the best transmission path and select the clusterÂ head. The simulation results show that the new algorithm has higher energy efficiencyÂ and balanced energy consumption. It can extend the network lifetime.
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