无线传感器网络中机会协作传输及其性能研究

颜振亚; 郑宝玉; 林志伟

doi:10.3724/SP.J.1146.2007.01047

无线传感器网络中机会协作传输及其性能研究

doi: 10.3724/SP.J.1146.2007.01047

颜振亚^{①;郑宝玉},
郑宝玉,
林志伟

基金项目:

国家自然基金项目(60372107)，江苏省博士创新基金(200670)，江苏省自然科学基金重大项目(BK2007729)和南京邮电大学攀登项目(NY207061)资助课题

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出版历程
- 收稿日期: 2007-06-25
- 修回日期: 2007-12-17
- 刊出日期: 2009-01-19

Research on Opportunistic Cooperation Transmission and Its Performance in Wireless Sensor Network

摘要

摘要: 该文基于Nakagami信道且考虑节点电路处理能耗，研究无线传感器网络中机会协作传输及其性能，解决怎么协作何时协作协作的性能3个问题，并从理论上分析机会协作的可能性。仿真结果表明：机会协作传输能有效地提高系统性能；节点的电路处理能耗会影响系统性能，当节点电路处理能耗大到一定程度，机会协作传输不能带来任何性能增益。
- 无线传感器网络;机会协作;Nakagami信道;中断概率
Abstract: Scheme of opportunistic cooperation transmission and its performance in wireless sensor network is studied based on Nakagami channel in this paper, and effect of circuit power on the scheme is also researched. Three issues including how to cooperation, when to cooperation and performance of cooperation are solved. And probability of opportunistic cooperation is discussed from theory. Simulation results show that opportunistic cooperation transmission can reach better performance than direct transmission, and circuit power of sensor node also has great effect on system performance.

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参考文献(1)

Sendonaris A, Erkip E, and Aazhang B. Increasing uplinkcapacity via user cooperation diversity. IEEE InternationalSymp. On Information Theory. 1998(8). Cambridge MA USA,16-21 Aug 1998: 156.[2]Sendonaris A, Erkip E, and Aazhang B. User cooperationdiversity-part i: System description[J].IEEE Trans. onCommunications.2003, 51(11):1927-1938[3]Sendonaris A, Erkip E, and Aazhang B. User cooperationdiversity-part ii: Implementation and performance analysis[J].IEEE Trans. on Communications.2003, 51(11):1939-1948[4]Laneman J N, Tse D N C, and Wornell G W. Cooperativediversity in wireless networks: Efficient protocols and outagebehavior[J].IEEE Trans. on Information Theory.2004, 50(12):3062-3080[5]Hunter T E, Sanayei S, and Nosratinia A. Outage analysis ofcoded cooperation[J].IEEE Trans. on Information Theory.2006,52(2):375-391[6]Mukkavilli K K, et al.. On beamforming with finite ratefeedback in multiple antenna systems[J].IEEE Trans. onInformation Theory.2003, 49(10):2562-2579[7]R Knopp and Humblet P A. Information capacity and powercontrol in single cell multi-user communications. ICCC95.Washington USA, June 18-22 1995: 331-335.[8]Gunduz D and Erkip E. Opportunistic cooperation andpower control strategies for delay-limited capacity. CISS 2005.Baltimore, March 16-18 2005.[9]Yang J and Brown III D R. The effect of channel stateinformation on optimum energy allocation and energyefficient of cooperative wireless transmission systems. CISS2006. Princeton USA, March 22-24 2006: 1044-1049.[10]Zhao Qing. On the use of channel state for energy efficientinformation retrieval sensor networks[J].ICASSP05,Philadelphia, USA, March 2.2005, III:665-668[11]Cui Shuguang, Goldsmith A J, and Bahai A. Energyefficiencyof MIMO and cooperative MIMO techniques insensor networks[J].IEEE Journal on Selected Areas inCommunications.2004, 22(6):1089-1098[12]Jayaweera S K. Virtual MIMO-based cooperativecommunication for energy-constrained wireless sensornetworks[J].IEEE Trans. on Wireless Communications.2006,5(5):984-989[13]Zhou Quan and Dai Huaiyu. Joint antenna selection and linkadaptation for MIMO systems. IEEE Trans. on VehicularTechnology, 2006, 55(1): 243-255.

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