基于改进微粒群算法的WSN节点调度  

Sensor Node Scheduling in WSN Based on Improved Particle Swarm Algorithm

作　　者：庄夏[1] 戴敏[2] 贺元骅[3] 

机构地区：[1]中国民航飞行学院科研处,四川广汉618307 [2]中国民航飞行学院计算机学院,四川广汉618307 [3]中国民航飞行学院航空安全保卫学院,四川广汉618307

出　　处：《电视技术》2013年第7期94-96,共3页Video Engineering

基　　金：国家自然科学基金项目(61079022)

摘　　要：为了降低无线传感器网络监测区域节点能耗和延长网络生命周期,设计了一种基于改进微粒群算法的节点调度方法。首先,以网络覆盖率和休眠工作节点数为目标建立了系统的数学模型,然后设计了粒子的编码方式、适应度函数以及自适应动态惯性权重,并定义了使用改进的微粒群算法对传感器网络节点调度的具体算法。仿真实验表明,该方法能正确地实现无线传感器网络监测区域的节点调度,在迭代次数较少时,就能以较少的节点获得较高的网络覆盖率,且与其他方法相比,具有收敛速度快和全局寻优能力强的优点。In order to reduce the node energy consumption and prolong the life cycle of wireless sensor network ,a node scheduling method based on im- proved particle swarm algorithm is proposed. Firstly ,the system model is set up using the coverage and the sleep node as the goal. Then the coding meth- od for particle,the fitness function and the self suitable dynamic inertia weight is designed,the specific algorism using the improved particle algorism for sensor node scheduling in wireless network is defined. The simulation experiment shows the method in this paper can realize node scheduling in wireless sensor network and high coverage by using less working nodes and iteration time, and compared with the other methods, it has the rapid coverage and glob- al optimizing ability.

关 键 词：微粒群算法 节点调度 覆盖率 传感器 

分 类 号：TN911.73[电子电信—通信与信息系统] TP391[电子电信—信息与通信工程]