一种基于遗传算法的传感器网络优化方法
An Efficient Method Based on Genetic Algorithms to Solve Sensor Network Optimization Problem
摘要：
在无线传感器网络中，簇头数目的最小化对于减少信道竞争和提高算法在簇头级执行时的效率是一个非常重要的问题。提出了一种基于遗传算法的传感器网络优化方法。传感器网络中传感器和接收器之间的长通信距离会极大地消耗传感器的能量并减少网络的寿命。通过使用遗传算法将传感器网络分簇成多个独立的簇，我们可以极大地减少总的通信距离，从而延长网络的生命周期。仿真结果表明，该算法能快速找到较好的解.
英文摘要：
Minimization of the number of cluster heads in a wireless sensor network is a very important problem to reduce channel contention and to improve the efficiency of the algorithm when executed at the level of cluster-heads. In this paper, we propose an efficient method based on genetic algorithms (GAs) to solve a sensor network optimization problem. Long communication distances between sensors and a sink in a sensor network can greatly drain the energy of sensors and reduce the lifetime of a network. By clustering a sensor network into a number of independent clusters using a GA, we can greatly minimize the total communication distance, thus prolonging the network lifetime. Simulation results show that our algorithm can quickly find a good solution.
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