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无线传感器网络路由中的能量预测及算法实现 被引量：27

Energy prediction and routing algorithm in wireless sensor network
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摘要 基于无线传感器网络中路由协议高效合理利用能量的要求,提出一种基于剩余能量预测的地理位置路由(EPGR,energy prediction and geographical routing)算法。算法通过建立传感器网络节点运作模型,及相邻节点剩余能量预测机制,优化路由选择。仿真和分析表明,EPGR算法能够有效地优化数据传输路径,均衡传感器网络节点的能量消耗,延长网络寿命。 On the basis of using the energy more effectively in the wireless sensor networks protocol, an energy-prediction-based geographical routing algorithm was designed. Constructing the running model of sensor nodes, predicting the remaining energy of its neighbor nodes, the routing selection was optimized. The result of simulation output and analysis shows that the EPGR could optimize the routing of data transferring, balance the energy consuming of sensor nodes, prolong the network survival.
作者 林恺 赵海 尹震宇 张希元
机构地区 东北大学信息科学与工程学院
出处 《通信学报》 EI CSCD 北大核心 2006年第5期21-27,共7页 Journal on Communications
基金 国家级火炬计划项目(2002EB010154)~~
关键词 无线传感器网络 自组织网络 剩余能量预测 路由优化 马尔可夫链 wireless sensor networks ad hoc remaining energy optimizing routing Markov chain
分类号 TP393 [自动化与计算机技术—计算机应用技术] TP18 [自动化与计算机技术—控制理论与控制工程]
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参考文献8

  • 1孙立民 李建中 陈渝.无线传感器网络[M].北京:清华大学出版社,2005..
  • 2INTANAGONWIWAT C,GOVINDAN R,ESTRIN D.Directed diffusion:a scalable and robust communication paradigm for sensor networks[A].Proc 6th Annual Int'l Conf on Mobile Computing and Networks (MobiCOM 2000)[C].Boston,MA,2000.
  • 3于海斌,曾鹏,王忠锋,梁英,尚志军.分布式无线传感器网络通信协议研究[J].通信学报,2004,25(10):102-110. 被引量：119
  • 4YU Y,GOVINDAN R,ESTRIN D.Geographical and energy aware routing:a recursive data dissemination protocol for wireless sensor networks[A].UCLA Computer Science Department Technical Report UCLA/CSD-TR-01-0023[C].2001.
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二级参考文献27

  • 1XU N. A survey of sensor network applications[EB/OL]. http://enl.usc.edu/~ningxu/ papers/survey.pdf, 2003.
  • 2RABAEY M J, AMMER M, SILVA L J, et al. PicoRadio supports ad hoc ultra-low power wireless networking[J]. IEEE Computer Magazine, 2000, 33(7):42-48.
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  • 5SHIH E, CHO S H, ICKES N, et al. Physical layer driven protocol and algorithm design for energy-efficient wireless sensor networks[A]. Porc of ACM Conference on Mobile Computing and Networking[C]. Rome, Italy, 2001. 272-86.
  • 6YEW. SCADDS: Scalable Coordination a rchitectures for deeply distnbuted systems[EB/OL]. http://www.isi.edu/scadds, 2002.
  • 7KAHN J, KATZ R, PISTER S J K. Next century challenges: mobile networking for smart dust[A]. Proc of ACM Conference on Mobile Computing and Networking[C]. Washington, USA, 1999.271-278.
  • 8AKYILDIZ I F, SU W Y, SANKARASUBRAMANIAM Y, et al. Wireless sensor networks: a survey[J]. Computer Networks, 2002, 38(4):393-422.
  • 9ESTRIN D, GOVINDAN R, HEIDEMANN J, et al. Next century challenges: scalable coordination in sensor network[A]. Proc of ACM Conference on Mobile Computing and Networking[C]. Washington, USA, 1999.263-270.
  • 10HEINZELMAN W R, CHANDRAKASAN A, BALAKRISHNAN. H. Energy-efficient communication protocol for wireless micro-sensor networks[A]. Proc of the Hawaii International Conference on System Sciences[C]. Maui, Hawaii, 2000.

共引文献151

同被引文献245

引证文献27

二级引证文献120

通信学报
2006年 第5期

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