计算机应用 ›› 2015, Vol. 35 ›› Issue (3): 606-609.DOI: 10.11772/j.issn.1001-9081.2015.03.606

• 网络与通信 • 上一篇    下一篇

基于位置信息的双簇头路由算法

林启中, 张冬梅, 王聪, 许魁   

  1. 解放军理工大学 通信工程学院, 南京 210007
  • 收稿日期:2014-09-24 修回日期:2014-11-13 出版日期:2015-03-10 发布日期:2015-03-13
  • 通讯作者: 林启中
  • 作者简介:林启中(1989-),男,江苏苏州人,硕士研究生,主要研究方向:协同通信、计算机网络,E-mail:linqz007@126.com;张冬梅(1970-),女,浙江瑞安人,副教授,博士,主要研究方向:认知无线电、移动通信;王聪(1975-),男,安徽池州人,副教授,博士,主要研究方向:计算机网络;许魁(1982-),男,安徽蚌埠人,讲师,博士,主要研究方向:网络编码、无线传输技术
  • 基金资助:

    国家自然科学基金面上项目(61371123);中国博士后基金资助项目(2014M552612)

Dual-cluster-head routing algorithm based on location information

LIN Qizhong, ZHANG Dongmei, WANG Cong, XU Kui   

  1. College of Communications Engineering, PLA University of Science and Technology, Nanjing Jiangsu 210007, China
  • Received:2014-09-24 Revised:2014-11-13 Online:2015-03-10 Published:2015-03-13

摘要:

针对无线传感器网络(WSN)的高能效路由选择问题,在混合式能量均衡分簇(HEED)算法基础上提出一种基于位置信息的低能耗双簇头多跳路由算法(HEED-EELD)。假设网络中所有节点都具有位置感知能力,网络根据最佳单跳距离划分层级,节点根据自身位置确定所在层级。簇内选举产生双簇头,分担单一簇头的工作,均衡簇头能耗。在簇间多跳路由中,簇头根据位置、距离和剩余能量的代价函数选择最优路由。Matlab仿真结果表明,与低功耗自适应分簇(LEACH)算法、HEED算法相比,提出的HEED-EELD在网络寿命、能量效率、能耗均衡等性能方面具有明显的性能增益。

关键词: 无线传感器网络, 高能效路由, 多跳, 双簇头, 位置信息, 分层

Abstract:

To deal with the energy-efficient routing selection problem of the Wireless Sensor Network (WSN), an Energy-Efficient routing algorithm with Location information and Double cluster heads based on Hybrid Energy-Efficient Distributed clustering (HEED-EELD) was proposed. Assuming that all the network nodes had location awareness capabilities, the network was divided into different hierarchies according to the best single-hop distance, so the nodes determined their hierarchies based on their locations. Double cluster heads were selected to share a single cluster head's work and to balance the energy consumption. In the inter-cluster multi-hop routing, the cluster head selected the optimal route based on location, distance and cost function about residual energy. Matlab simulation results show that, compared with Low Energy Adaptive Clustering Hierarchy (LEACH) algorithm, HEED algorithm, HEED-EELD has obvious advantages in terms of network lifetime, energy efficiency and energy balancing.

Key words: Wireless Sensor Network (WSN), energy-efficient routing, multi-hop, dual-cluster-head, location information, hierarchy

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