摘要
为了提高无线传感器网络(WSNs)的覆盖率,减少冗余覆盖,延长网络生存时间,在粒子群优化(PSO)算法的基础上,提出一种莱维飞行(LF)与粒子群优化相结合的(LF-PSO)算法。该算法以提高覆盖率为优化目标,通过建立数学模型来描述WSNs节点覆盖优化问题,利用算法对数学模型求解,达到优化节点覆盖的目的。仿真结果表明:该算法的运算结果达到了预期效果,优化了工作节点的布局,提高了覆盖率,是一种高效可行的WSNs节点覆盖算法。该算法非常适合应用到WSNs节点覆盖优化中,能够大大的提高节点的覆盖率。
In order to improve coverage rate of wireless sensor networks（ WSNs）,reduce redundant coverage and extend the network lifetime,propose a kind of algorithm,which combines PSO with Levy flight（ LF-PSO）. The aim of optimization algorithm is to improve the coverage ratio by setting up mathematical model to describe WSNs node coverage optimization problem,use algorithms for solving mathematical models,so as to achieve the purpose of optimizing node coverage. Simulation results show that operation results of algorithm achieve expected effect and optimize the layout of the working nodes and improve coverage rate,which is an efficient and feasible node coverage algorithm for WSNs. The algorithm is quite suitable for application in WSNs node coverage optimization,which can greatly improve the coverage rate of the nodes.
出处
《传感器与微系统》
CSCD
2015年第11期157-160,共4页
Transducer and Microsystem Technologies
基金
国家自然科学基金青年科学基金资助项目(61302051)
