摘要
针对多路径路由中如何进行路径选择的问题,综合考虑了节点间能量标准化后的统计参数、路径上的能耗与节点的总能量、路由跳数,提出了多路径的代价函数模型,并提出算法M-EEGR(multi—energyefficientgeo-graphicmuting)。M-EEGR以贪婪算法选取下一跳并通过DATF算法优化来寻求路径上节点个数的最小化,满足无线多媒体传感器网络(wirelessmultimediasensornetworks,WMSN)对时延的需求;采用不共节点的形式在源节点与目的节点间建立起多路径路由,并通过提出的代价函数模型进行路径选择,以均衡路径间的能量消耗来延长网络生命周期。仿真结果表明M-EEGR算法在保证了QoS的基础上,路径能量消耗差异在1%左右,均衡了网络的能量消耗,并较TPGF算法在剩余能量百分比上提高了1%~2%。
Aiming at route choice problem, this paper proposed multipath cost function and M-EEGR (multi-energy efficient geographic routing) taking energy statistics parameters, routing energy consumption, total energy and hops into consideration. M-EEGR used greedy algorithm and DATF algorithm to select the next hop to minimize the number of nodes on the path, in the same time it met the delay requirements in WMSN. It built the node-disjoint multipaths between the source node and destina- tion node,and selected the path using the cost function model to balanc energy consumption and prolonged the network life- time. Simulation result indicates that M-EEGR not only satisfies the QoS requirements, but also balances energy consumption differences about 1%, and exceeds TPGF 1% -2% in energy efficiency.
出处
《计算机应用研究》
CSCD
北大核心
2015年第9期2606-2608,2612,共4页
Application Research of Computers
基金
国家科技重大专项基金资助项目(2010ZX03006-005-01)
中央高校基本科研业务费专项资金资助项目(12QX12)
关键词
无线多媒体传感器网络
多路径
路由选取
能量均衡
服务质量
wireless multimedia sensor networks (WMSN)
muti-paths
path selection
energy balancing
quality of service(QoS)