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无线传感器网络中一种基于虚拟MIMO多播的多跳传输策略 被引量：4

Virtual MIMO Multicast-based Multihop Transmission Scheme for Wireless Sensor Networks
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摘要 虚拟MIMO技术能够有效减少信道衰落对无线链路的影响,节省无线传输时的能耗.结合MIMO多播和LEACH协议,提出新的虚拟MIMO多跳传输策略(VMMM),由于该策略避免了多跳数据转发时的簇内广播过程,从而提高整个网络的能量有效性.为优化该传输策略的性能,本文对VMMM策略的能耗进行建模分析,并在此基础上通过联合优化以确定满足最小能耗时的网络参数.仿真结果表明,与已有的虚拟MIMO多跳传输策略—vMISO协议相比,VMMM策略能够显著提高网络的能量有效性,有效延长网络生存时间达50%以上. Virtual MIMO technique can greatly reduce the fading effect of wireless link, and save transmission energy. In this paper, we proposed a new virtual MIMO multihop transmission scheme （ VMMM） by combining MIMO multicast with LEACH protocol. Through avoiding intra-cluster broadcast in multi-hop data forwarding process, this transmission scheme can improve the energy efficiency of sensor networks. In order to optimize the performance of VMMM, we first analyzed the energy consumption of this scheme, and then developed a jointly optimization model to determine the optimum network parameters. Simulation results show that compared with the previous virtual MIMO multi-hop transmission scheme （ vMISO protocol ）, the proposed scheme significantly improves the energy efficiency, and prolong the network lifetime by at least 50%.
作者 肖明 黄刘生 徐宏力
机构地区 中国科学技术大学计算机科学与技术学院 中国科学技术大学苏州研究院
出处 《小型微型计算机系统》 CSCD 北大核心 2012年第1期18-23,共6页 Journal of Chinese Computer Systems
基金 国家"九七三"重点基础研究发展计划项目(2011CB302905)资助 面向无线传感器网络的数据一致性问题研究项目(60903055)资助
关键词 无线传感器网络 虚拟MIMO技术 多播 能量有效 网络生存时间 wireless sensor networks virtual MIMO technique multicast energy efficient network lifetime
分类号 TP393 [自动化与计算机技术—计算机应用技术]
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参考文献12

  • 1Cui S, Goldsmith A J , Bahai A. Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks[ J]. IEEE Journal on Selected Areas in Communications, 2004, 22 (6) : 1089-1098.
  • 2Jayaweera S K. Energy analysis of MIMO techniques in wireless sensor networks[ C]. Proceedings of the 38th IEEE Annual Conference on Information Sciences and Systems, Princeton, NJ, USA,2004.
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同被引文献37

  • 1韩文霆,吴普特,郁晓庆,张增林,李鼎.农业环境信息无线传感器网络监测技术研究进展[J].农业工程学报,2011,27(S2):326-330. 被引量：37
  • 2李成法,陈贵海,叶懋,吴杰.一种基于非均匀分簇的无线传感器网络路由协议[J].计算机学报,2007,30(1):27-36. 被引量：373
  • 3Cui S, Goldsmith A, Bahai A. Energy-efficiencyof MIMO and cooperative MIMO techniques in sensor networks [ J ]. IEEE Journal on Selected Areas in Communica- tions, 2004,22 (6) : 1089-1098.
  • 4Jayaweera S K. Virtual MIMO-based cooperative commu- nication for energy constrained wireless sensor networks [ J]. IEEE Transactions on Wireless Communications, 2006,5 (5) :984-989.
  • 5Heinzelman W B, Chandrakasan A P, Balakrishnan H. An application-specific protocol architecture for wireless microsensor networks [ J ]. IEEE Transactions on Wire- less Communications,2002,1(4) :660-670.
  • 6Mahinthan V, Cai L, Mark J W, et al. Partner selection based on optimal power allocation in cooperative -diver- sity systems [ J ]. IEEE Transactions on Vehicular Tech- nology,2008,57( 1 ) :511- 520.
  • 7Madan R, Cui S, Lall S, et al. Modeling and optimizationof transmission schemes in energy-constrained wireless sensor networks [ J ]. IEEE/ACM Transactions on Net- working, 2007,15 ( 6 ) : 1359 -1372.
  • 8Mitran P, Ochiai H, Tarokh V. Space-timediversity en- hancements using collaborative communications [ J ]. IEEE Transactions on Information Theory, 2005, 51 (6) :2041-2057.
  • 9Li X. Energyefficient wireless sensor networks with trans- mission diversity [ J ]. IEEE Electronics Letters,2003,39 (24) : 1753-1755.
  • 10Younis O, Fahmy S. A hybrid energy-efficient distribu- ted clustering approach for Ad Hoc routing [ J ]. IEEE Trabs. Mobile Computing,2004,2 (d) :366-379.

引证文献4

二级引证文献2

小型微型计算机系统
2012年 第1期

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