摘要
研究WSN覆盖优化方面的问题,提高无线传感网络通讯效率。针对无线传感网络节点分布不均匀或者节点失效时,WSN覆盖区域会出现重叠或者指定区域没有被覆盖,造成无线传感网络通讯效率下降的问题,提出了利用一种混沌粒子群算法,根据无线传感网络相关参数和条件建立数学模型,利用优化处理方式对其进行优化,提高了通讯效率。实验证明,利用混沌粒子群算法进行WSN覆盖优化,可以提高无线传感网络优化效率,取得了令人满意的效果。
The optimization problems covering WSN, improve the wireless sensor network communication efficiency. For wireless sensor network node distribution uneven or node failed, WSN coverage will appear overlap or designated area is not covered, causing the wireless sensor network communication efficiency of the decline of the problem. In order to solve the above problems, and put forward a kind of chaotic particle swarm algorithm, the first wireless sensor network according to the related parameters and conditions established the mathematical model, and by using the optimized way optimization to improve communication efficiency. The experiment proves that the chaotic particle swarm optimization algorithm of WSN cover, can improve the wireless sensor network optimization efficiency, and satisfactory results have been obtained.
出处
《科技通报》
北大核心
2012年第8期114-116,119,共4页
Bulletin of Science and Technology
关键词
WSN覆盖优化
混沌粒子群算法
无线传感网络
WSN cover optimization
chaotic particle swarm algorithm
wireless sensor network
