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Node deployment strategy optimization for wireless sensor network with mobile base station 被引量:7

Node deployment strategy optimization for wireless sensor network with mobile base station
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摘要 The optimization of network performance in a movement-assisted data gathering scheme was studied by analyzing the energy consumption of wireless sensor network with node uniform distribution. A theoretically analytical method for avoiding energy hole was proposed. It is proved that if the densities of sensor nodes working at the same time are alternate between dormancy and work with non-uniform node distribution. The efficiency of network can increase by several times and the residual energy of network is nearly zero when the network lifetime ends. The optimization of network performance in a movement-assisted data gathering scheme was studied by analyzing the energy consumption of wireless sensor network with node uniform distribution. A theoretically analytical method for avoiding energy hole was proposed. It is proved that if the densities of sensor nodes working at the same time are alternate between dormancy and work with non-uniform node distribution. The efficiency of network can increase by several times and the residual energy of network is nearly zero when the network lifetime ends.
作者 龙军 桂卫华
出处 《Journal of Central South University》 SCIE EI CAS 2012年第2期453-458,共6页 中南大学学报(英文版)
基金 Project(60873081)supported by the National Natural Science Foundation of China Project(NCET-10-0787)supported by Program for New Century Excellent Talents in University Project(11JJ1012)supported by the Natural Science Foundation of Hunan Province,China
关键词 网络节点 无线传感器 策略优化 移动基站 部署 剩余能量 传感器节点 网络性能 wireless sensor network mobile base station network optimization energy consumption balancing density ratio of sensor node network lifetime
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  • 1刘明,曹建农,陈贵海,陈力军,王晓敏,龚海刚.EADEEG:能量感知的无线传感器网络数据收集协议[J].软件学报,2007,18(5):1092-1109. 被引量:67
  • 2JUANG P, OKI H, WANG Yong, MARTONOSI M, PEtt L S, RUBENSTEIN D. Energy-efficient computing for wildlife tracking: Design tradeoffs and early experiences with ZebraNet[J], SIGOPS Oper Syst Rev, 2002, 36(5): 96 107.
  • 3SZEWCZYK R, OSTERWEIL E, POLASTRE J, MAINWAR1NG A, ESTRIN D. Habitat monitoring with sensor networks[J]. Commun ACM, 2004, 47(6): 34-40.
  • 4VAHDAT A, BECKER D. Epidemic Routing for Partially Connected Ad Hoc Networks [R]. Duke University, 2000.
  • 5ZHAO Wen-rui, AMMAR M. Message Ferrying: Proactive routing in highly-parititioned wireless ad hoc networks [C]// Proceedings of the 9th IEEE International Workshop on Future Trends of Distributed Computing Systems, Puerto Rico: IEEE Press, 2003: 308-314.
  • 6ZHAO Wen-rni, AMMAR M, ZEGURA E, A message ferrying approach for data delivery in sparse mobile ad hoc networks [C]// Oeedings of the 5th ACM International Symposium on Mobile ad hoc Networking and Cmputing Roppongi Hills, Tokyo, Japan: ACM, 004: 187-198.
  • 7ZHAO Wen-rui, AMMAR M, ZEGURA E. Controlling the mobility of multiple data transport ferries in a delay-tolerant network [Z]. 2005.
  • 8FALL K. A delay-tolerant network architecture for challenged internets [C]// Proceedings of the 2003 conference on Applications, technologies architectures and protocols for computer communications, Karlsruhe, Germany: ACM, 2003: 27-34.
  • 9TARIQ M M B, ZEGURA M A, ZEGURA E. Message ferry route design for sparse ad hoc networks with mobile nodes [Z]. 2006.
  • 10PENG Wei, ZHAO Bao-kang, YU Wan-rong, YAN Xiao-rong. Ferry route design with delay bounds in delay-tolerant networks [C]// Computer and Information Technology (CIT), 2010 IEEE 10th International Conference, Bradford, UK: IEEE Press, 2010: 281- 288.

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