The Method of Energy Efficient Optimization for the Measurement of Wireless Sensor Node

This paper researches the problem of energy efficient optimization for the measurement of wireless sensor nodes. Based on the cluster-based topology and probability sensing model,the metric of network measurement coverage and communicate energy consumption are established. Genetic algorithm is easy to stuck in local optimum; particle swarm optimization can't get a high precise result. Combining genetic algorithm and tabu search algorithm can improve the performance of genetic algorithm. The simulation experiments show that comparing to genetic algorithm,the network measurement coverage is getting higher and the communicate energy consumption is getting lower when using the GA-TS algorithm.