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一种无线传感器网络性能评估及优化方法 被引量:8

An Approach of Performance Analysis and Optimization for Wireless Sensor Networks
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摘要 文章提出了一种无线传感器网络性能评价及优化方法,以单位能耗所支持的平均数据速率为量度,分析了路由策略、接入机制及物理层传输技术对网络性能的综合影响.在讨论单跳分组成功传输概率、时延的基础上,将问题拓展至多跳网络,对网络端到端分组成功传输概率、耗时、耗能进行了统计分析,导出了单位能耗所支持的平均数据速率的表达式,并依此对网络性能进行了仿真研究.结果表明:网络性能可以通过优化分组发送概率和编码纠错能力的方法得到较大改进. The paper proposes a novel optimization approach of performance for WSN.The end-to-end data rate per the unit of energy is introduced such that the integrated effects of the routing algorithm,the access control protocol and the transmission technologies on the performance of WSN are discussed.The packet success ratio and delay per hop were derived,based on which the end-to-end packet success ratio,delay and energy cost were deduced.Finally,the expression of the average end-to-end data rate was derived and the performance of WSN was analyzed.The simulation results demonstrate that the performance of WSN can be enhanced greatly by optimizing the transmission probability of packet and error correcting capability.
出处 《电子学报》 EI CAS CSCD 北大核心 2010年第4期882-886,共5页 Acta Electronica Sinica
基金 国家自然科学基金(No.60503049)
关键词 无线传感器网络 优化 能量效率 路由策略 时延 wireless sensor networks optimization energy efficiency routing strategy delay
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参考文献13

  • 1Akyildiz I F, Su W, Sankarasubramaniam Y, et al. Wireless sensor networks: A survey[ J ]. Computer Networks, 2002, 38 (4) : 393 - 422.
  • 2Florens C,Sharif M,McEliece R J.Random sensory networks: A delay analysis[J].IEEE Transactions on Information Theory,2009,55(4) : 1650 - 1664.
  • 3Ye W, Heidemann J, Estrin D. Medium access control with coordinated adaptive sleeping for wireless sensor networks[J].IEEE/ ACM Transactions on Networking,2004,12(3) :493 - 506.
  • 4Vuran M C, Akyildiz I F. Spatial correlation-based collaborative medium access control in wireless sensor networks[ J ]. IEEE/ ACM Transactions on Networking,2006,4(2):316- 329.
  • 5Yu M, Leung K K, Malvankar A. A dynamic clustering and energy efficient routing technique for sensor networks [J]. IEEE Transactions on Wireless Communications, 2007,6 (8) : 3069 - 3079.
  • 6Gunasekaran R, Qi H. XLRP: Cross layer routing protocol for wireless sensor networks [ A ]. Proceedings of IEEE Wireless Communications and Networking Conference (WCNC) [ C ]. Las Vegas: IEEE press, 2008. 2135 - 2140.
  • 7宋震,周贤伟,林亮.链路可靠的无线传感器网络组播路由协议[J].电子学报,2008,36(1):64-69. 被引量:7
  • 8Deng J,Han Y S,Chen P N,Varshney P K. Optimal transmission range for wireless Ad Hoc networks based on energy efficiency[ J]. IEEE Transactions on Wireless Communications, 2007,55(9) : 1772 - 1782.
  • 9Zhang L L, Soong B H. Energy efficiency analysis of channel aware geographic-informed forwarding (CAGIF) for wireless sensor networks[ J]. IEEE Transactions on Wireless Communications, 2008,7 (6) : 2033 - 2038.
  • 10Luo J, Jiang L G, He C. Finite queuing model analysis for energy and QoS tradeoff in contention-based wireless sensor networks[ A]. Proceedings of IEEE International Communications Conference[ C ]. Korean: IEEE press, 2007. 3901 - 3906.

二级参考文献19

  • 1Gao Qing-hai Zhang Jun-shan, and Shen Xue-ming (Sherman), and Larish B. A cross-layer optimization approach for energy efficient wireless sensor networks: coalition-aided data aggregation, cooperative communication and energy balancing. Adavances in Multimedia.Vol 2007.http://www.Hindawi.com/.
  • 2Younis O and Fahmy S. Heed: A hybrid, energy-efficient, distributed clustering approach for Ad hoc sensor networks. IEEE Trans. on Mobile Comuting, 2004, 3(4): 366-379.
  • 3Heinzelman W, Chandrakasan A, and Balakrishnan H. Energy-efficient communication protocol for wireless microsensor networks. The 33rd Annual Hawaii International Conference on System Sciences(HICSS'00), Maui, Hawaii, USA, Jannuary 2000, Vol.2: 3005-3014.
  • 4Yuan Y, Chen M, and Kwon T. A novel cluster-based cooperative MIMO scheme for multi-hop wireless sensor networks, volume 2006: 1-9. http://www.Hindawi.com/.
  • 5Cui S, Goldsmith A, and Bahai A. Energy-efficiency of MIMO and Cooperative MIMO Techniques in Sensor Networks. IEEE Journal on Selected Areas in Communications, 2004, 22(6): 1089-1098.
  • 6Gai Y, Zhang Lin, and Shan Xiu-ming. Energy efficiency of cooperative MIMO with data aggregation in wireless sensor networks. Proceedings of IEEE Wireless Communications and Networking Conference (WCNC 2007 ). Hong Kong, 11-15 March 2007: 791-796.
  • 7Yuan Yong and Chen Min. Virtual MIMO-based cross-layer design for wireless sensor networks. IEEE Trans. on Vehicular Technology, 2006, 55(3): 856-864.
  • 8Dong M, Tong L, and Sadler B M. Effect of MAC design on source estimation in dense sensor networks. Proceeding of IEEE International Conference on Acoustics, Speech and Signal processing(ICASSP'04), Montreal, Quebec, Canada, May 2004, Vol.3: 853-856.
  • 9J Hill, D Cutler. Mica:a wireless platform for deeply embedded networks[ J]. IEEE. Micro,2002,22(6) : 12 - 24.
  • 10D Estrin,R Govindan, J S Heidemann,et al.Next century challenges: Scalable coordination in sensor networks[ A ]. Proceeding of the 5th Annual International Conference on Mobil Computing(MobiCom' 1999) [C]. 1999.263 - 270.

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