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基于能量阈值自感分区机制的无线传感网簇路由算法 被引量:1

On Simulation of Wireless Sensor Network Routing Algorithm Based on Energy Threshold Self Forming Mechanism
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摘要 针对当前部署无线传感网中存在的成簇机制僵化、簇头节点难以进行周期性选举且存在簇区域结构难以动态更新的难题,提出了基于能量阈值自感分区机制的无线传感网簇路由算法.首先在初始化的过程中依据能量阈值进行动态初步的节点分割,形成初步的簇头-簇成员的区域结构;然后按照节点归一化能量剩余水平决定在更新周期内是否进行簇头节点的更换,从而实现了簇头节点按能量最优原则的动态周期性的更换;最后通过簇头节点与簇间汇聚节点形成的传输链路实现信息的协同传输及簇间交汇,有效改善了网络数据的传输质量.仿真实验表明:与RMCRW算法、CMEDD算法等相比较,本文提出的新无线传感网簇路由算法能够有效提高无线传感网的生存周期,减少网络控制开销,改善传感数据的传输质量. In order to solve the problems such as rigid clustering mechanism,and the cluster head nodes hard to periodic elections,as well as cluster structure difficult to update during the deployment of WSN,the cluster outing algorithms of wireless sensor network based on the mechanism of self energy threshold partition has been proposed in this paper.Firstly,the initial region structure of cluster head-cluster members has been formed by node dynamic segmentation according to energy threshold during the initialization.Then the dynamic periodic replacing based on energy optimization principle been realized by deciding the changing whether cluster head node in update cycle according to the normalized node residual energy level.And finally,the cooperative transmission and intersection between clusters were realized by transmission link based on cluster head node and cluster nodes to effectively improve the quality of network data transmission.The simulation experiments show that:this new wireless sensor network cluster routing algorithm proposed in this paper can effectively improve the lifetime of wireless sensor network,and reduce the network control overhead for improving the transmission quality of sensing data.
出处 《西南师范大学学报(自然科学版)》 CAS 北大核心 2017年第9期60-66,共7页 Journal of Southwest China Normal University(Natural Science Edition)
基金 江苏省自然科学基金项目(BK20131109) 江苏省高校优势学科建设资助项目(PAPD)
关键词 无线传感网 簇路由 能量阈值 周期选举机制 能量最优原则 wireless sensor networks c lus ter ro u t in g energy th re s h o ld periodic election mechanism en-ergy opt imizat ion p rin c ip le
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