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无线传感器网络中协作通信的能耗优化方法研究

江若宜 季薇 郑宝玉

江若宜, 季薇, 郑宝玉. 无线传感器网络中协作通信的能耗优化方法研究[J]. 电子与信息学报, 2010, 32(6): 1475-1479. doi: 10.3724/SP.J.1146.2009.00521
引用本文: 江若宜, 季薇, 郑宝玉. 无线传感器网络中协作通信的能耗优化方法研究[J]. 电子与信息学报, 2010, 32(6): 1475-1479. doi: 10.3724/SP.J.1146.2009.00521
Jiang Ruo-yi, Ji Wei, Zheng Bao-yu. Joint Optimization of Energy Consumption in Cooperative Wireless Sensor Networks[J]. Journal of Electronics & Information Technology, 2010, 32(6): 1475-1479. doi: 10.3724/SP.J.1146.2009.00521
Citation: Jiang Ruo-yi, Ji Wei, Zheng Bao-yu. Joint Optimization of Energy Consumption in Cooperative Wireless Sensor Networks[J]. Journal of Electronics & Information Technology, 2010, 32(6): 1475-1479. doi: 10.3724/SP.J.1146.2009.00521

无线传感器网络中协作通信的能耗优化方法研究

doi: 10.3724/SP.J.1146.2009.00521

Joint Optimization of Energy Consumption in Cooperative Wireless Sensor Networks

  • 摘要: 针对能量受限的无线传感器网络,该文综合考虑了协作节点数量和调制方式对系统能量有效性的影响,提出一种能量最优的综合优化方法。文中首先给出了在Rayleigh衰落信道环境下,协作通信系统采用二相相移键控(BPSK)和M进制正交幅度调制(MQAM)时误码率的闭式表达,同时对协作通信的系统能耗进行了分析。在此基础上,根据能耗最小化原则对协作节点数量和调制方式进行了联合优化。仿真结果表明,与调制方式固定或协作节点数固定的系统相比,该方案能进一步降低协作通信的系统能耗。
  • Cui Shu-guang, Goldsmith A J, and 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[2]Jayaweera S K. Virtual MIMO-based cooperative communication for energy-constrained wireless sensor networks[J].IEEE Transactions on Wireless Communications.2006, 5(5):984-989[3]Jayaweera S K. Energy efficient virtual MIMO-based cooperative communications for wireless sensor networks[C]. Proceedings of International Conference on Intelligent Sensing and Information Processing, Chennai, India, January 4-7, 2005: 1-6.[4]Ng C T K, Jindal N, Goldsmith A J, and Mitra U. Capacity gain from two-transmitter and two-receiver cooperation [J].IEEE Transactions on Information Theory.2007, 53(10):3822-3827[5]Ng C T K, Jindal N, Goldsmith A J, and Mitra U. Power and bandwidth allocation in cooperative dirty paper coding[C]. Proceedings of International Conference on Communications, Beijing, China, May 19-23, 2008: 1018-1023.[6]Simi L, Berber S M, and Sowerby K W. Partner choice and power allocation for energy efficient cooperation in wireless sensor networks[C]. Proceedings of International Conference on Communications, Beijing, China, May 19-23, 2008: 4255-4260.[7]Mahinthan V, Cai Lin, Mark J W, and Shen S. Partner selection based on optimal power allocation in cooperative-diversity systems [J].IEEE Transactions on Vehicular Technology.2008, 57(1):511-520[8]Cui Shu-guang and Goldsmith A J. Cross-layer optimization of sensor networks based on cooperative MIMO techniques with rate adaptation[C]. 2005 IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, New York City, USA, June 5-8, 2005: 960-964.[9]Cui Shu-guang and Goldsmith A J. Cross-layer design of energy-constrained networks using cooperative MIMO techniques [J].Signal Processing Journal.2006, 86(8):1804-1814[10]Sirkeci-Mergen B and Scaglione A. Randomized distributed space-time coding for cooperative communication in self organized networks[C]. 2005 IEEE 6th Workshop on Signal Processing Advances for Wireless Communications, New York, USA, June 5-8, 2005: 500-504.[11]Zhong Zhou and Cui Shu-guang. Energy-efficient cooperative communication in a clustered wireless sensor network [J]. IEEE Transactions on Vehicular Technology, 2008, 11(6): 3618-3628.[12]Paulraj A, Nabar R, and Gore D. Introduction to Space-Time Wireless Communications[M]. New York, USA, Cambridge University Press, 2003: 45,7-8,87.[13]Chen Zhuo, Yuan Jinhong, and Vucetic B. Analysis of transmit antenna selection maximal-ratio combining in Rayleigh fading channels[J].IEEE Transactions on Vehicular Technology.2005, 54(4):1312-1321
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出版历程
  • 收稿日期:  2009-04-10
  • 修回日期:  2010-02-09
  • 刊出日期:  2010-06-19

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