基于NAPSO的无线传感器网络分簇路由算法
NAPSO-based Clustering routing Algorithm for WSN
为了有效延长WSN网络的生存时间,需要设计能量有效的簇头选择和成簇机制,以适应无线传感器网络的特点。提出一种改进型粒子群(非线性自适应PSO)的分簇路由算法。在适应度函数中,根据节点的能量分布定义了基于节点剩余能量的簇内加权平均距离,并同时考虑了网络节点和簇头节点的平均剩余能量比以及网络节点的平均传输能量损耗三个因素。在成簇过程中融入了新的竞争机制F,考虑了簇头的剩余能量和距离基站的远近等因素,并对其进行仿真。仿真结果表明,该优化算法使得簇头均匀分布,均衡了网络能耗,是解决WSN能耗最小化的一种有效方法。
In order to prolong the network lifetime for WSN,an energy-efficient mechanism of cluster-head selection and formation of clusters is needed to be designed to adapt to the characteristics of wireless sensor networks.Therefore,this paper proposes an improved routing algorithm(NAPSO-CA). In the fitness function, according to the energy distribution of nodes , the weighting average of distance in clusters is defined based on residual energy of nodes, also taking into consideration the factors of proportion of nodes and cluster-heads' average residual energy , the average transmission energy dissipation of network. In formation of clusters, blending to a new competition mechanism F, the factors of cluster-heads'energy and distance to base station are included,and the simulation analysis was carried out. The simulation results show that the modified algorithm makes cluster-head distribution more even, balances network energy and is considered an effective method to solve the minimization problem of the energy consumption of WSN .
马福昌、夏季文
无线通信通信电子技术应用
无线传感器网络非线性自适应粒子群分簇算法簇内加权平均距离单-多跳
WSNNonlinear Adaptive Particle Swarm Optimizationclustering algorithmweighting average of distance in clusterssingle-multi hop
马福昌,夏季文.基于NAPSO的无线传感器网络分簇路由算法[EB/OL].(2011-05-20)[2025-08-11].http://www.paper.edu.cn/releasepaper/content/201105-438.点此复制
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