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移动传感网社区间能量均衡路由算法
引用本文:高秋田,杨文忠,张振宇,石研,李双双. 移动传感网社区间能量均衡路由算法[J]. 计算机应用, 2017, 37(7): 1855-1860. DOI: 10.11772/j.issn.1001-9081.2017.07.1855
作者姓名:高秋田  杨文忠  张振宇  石研  李双双
作者单位:1. 新疆大学 软件学院, 乌鲁木齐 830008;2. 新疆大学 信息科学与工程学院, 乌鲁木齐 830046
基金项目:国家自然科学基金资助项目(U1603115,61262087,61262089);新疆高校教师科研计划重点资助项目(XJEDU2012I09);江西省青年科学基金资助项目(20151521020008)。
摘    要:在资源受限的无线移动传感器网络(MWSN)中设计能效路由是一个挑战性难题。针对移动传感器网络中社区间路由节点能量消耗过快的问题,提出了一种社区间能量均衡路由算法(ERAI)。设计了一个新的基于节点的剩余能量以及相遇可能性的转发能力路由度量FC。利用此度量FC和相遇节点的去向信息选择中继节点来转发消息。实验数据显示,ERAI路由算法在首个节点消亡时间上与Epidemic和PROPHET路由算法相比分别推迟了12.6%~15.6%和4.5%~8.3%,且节点剩余能量均方差小于Epidemic和PROPHET路由算法。实验结果表明,ERAI在一定程度上均衡了各节点的能耗,延长了网络的生命周期。

关 键 词:移动传感网  社区  能量均衡  相遇概率  生命周期  
收稿时间:2017-01-06
修稿时间:2017-02-27

Energy-balanced routing algorithm for inter-community in mobile sensor network
GAO Qiutian,YANG Wenzhong,ZHANG Zhenyu,SHI Yan,LI Shuangshuang. Energy-balanced routing algorithm for inter-community in mobile sensor network[J]. Journal of Computer Applications, 2017, 37(7): 1855-1860. DOI: 10.11772/j.issn.1001-9081.2017.07.1855
Authors:GAO Qiutian  YANG Wenzhong  ZHANG Zhenyu  SHI Yan  LI Shuangshuang
Affiliation:1. College of Software Engineering, Xinjiang University, Urumqi Xinjiang 830046, China;2. College of Information Science and Technology, Xinjiang University, Urumqi Xinjiang 830046, China
Abstract:Energy efficient routing is a challenging problem in resource constrained Mobile Wireless Sensor Network (MWSN). Focused on the issue that the energy consumption of the inter-community routing in the mobile sensor network is too fast, an Energy-balanced Routing Algorithm for Inter-community (ERAI) was proposed. In ERAI, a new routing metric FC (Forwarding Capacity) based on the residual energy of nodes and the probability of encounter was designed. Then, this metric FC and the directional information of encountered nodes were used for selection of a relay node to forward the messages. The experimental data show that the death time of the first node of ERAI was later than that of Epidemic and PROPHET by 12.6%-15.6% and 4.5%-8.3% respectively, and the residual energy mean square deviation of ERAI was less than that of Epidemic and PROPHET. The experimental results show that the ERAI can balance the energy consumption of each node to a certain extent, and thus prolongs the network lifetime.
Keywords:mobile sensor network   community   energy balance   encounter probability   network lifetime
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