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基于Borel亚循环拓扑的无线传感器网络路由算法 被引量:1

Routing Algorithm for Wireless Sensor Networks Based on Borel Metacyclic Topology
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摘要 利用Borel矩阵群以及群论中的半直积方法构建了一个对称性强、直径小、聚集系数高的5正则Borel亚循环图,将无线传感器网络结点嵌入到该亚循环图中,提出了一种确定性的以数据为中心的数据存储及路由算法,并将所设计的拓扑结构与现有的基于Chord的CSN(Chord for Sensor Networks)以及VRR(Virtual Ring Routing)进行了对比.结果表明,与现有的一些算法相比,所设计的拓扑结构在平均查询长度、路由表大小、平均端到端时延以及能量耗散等方面都有一定优势,有利于延长传感器网络结点的寿命. In this paper, a novel five-regular Borel metacyclic graph with symmetric structure, small diameter and high clustering coefficient is created by using the Borel matrix group and the semi-direct product method in the group theory. Then, by embedding wireless sensor nodes in this metacyclic graph, a structured data-centric storage and routing algorithm is designed, which is further compared with the CSN based on Chord and the VRR. The re- suits show that the proposed algorithm is superior to some existing algorithms in terms of routing query length, routing table size, end-to-end delay and energy dissipation, which benefits the prolonging of the life of sensor network nodes.
出处 《华南理工大学学报(自然科学版)》 EI CAS CSCD 北大核心 2012年第4期30-36,共7页 Journal of South China University of Technology(Natural Science Edition)
基金 国家自然科学基金资助项目(60973150 61170313 61103037) 江西省自然科学基金资助项目(2011ZBAB211003) 中国博士后科学基金资助项目(20110490883)
关键词 无线传感器网络 路由算法 Borel矩阵群 Borel亚循环图 路由查找长度 由表大小 端到端时延 聚集系数 wireless sensor networks routing algorithm Borel matrix group Borel metacyclic graph routing que- ry length routing table size end-to-end delay clustering coefficient
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