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一种动态传感器网络中的功率控制方法 被引量:3

Power Control Method for Dynamical Sensor Networks
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摘要 已经提出的传感器网络中的功率控制方法大多针对静态的传感器网络,不一定适用于动态的传感器网络.为保证传感器动态加入或者退出时网络中所有传感器仍然能同时发送数据,以所有传感器端的信干比高于某个阈值为目标,提出一种动态传感器网络中的功率控制方法.考虑了传感器依次加入、同时加入、依次退出和同时退出4种情况.仿真结果和理论结果相符,证明了提出的功率控制方法的有效性. Existing power control methods for sensor networks mainly focus on static sensor networks,and may not be suitable for dynamical sensor networks.In this paper,to guarantee that all sensors in the network can send data simultaneously when sensors join or leave the network dynamically,a power control method is proposed for dynamical sensor networks,which makes the signal to interference plus noise ratio(SINR) of each sensor above a threshold.The cases of gradually joining,simultaneously joining,gradually leaving and simultaneously leaving are considered.Simulation results coincide with the theoretical ones and demonstrate the effectiveness of the proposed power control method.
出处 《西南师范大学学报(自然科学版)》 CAS CSCD 北大核心 2010年第6期127-131,共5页 Journal of Southwest China Normal University(Natural Science Edition)
基金 国家自然科学基金(60872123) 国家自然科学基金-广东省自然科学基金联合基金(U0835001) 桂林电子科技大学科学研究基金(UF09017Y)
关键词 传感器网络 功率控制 动态网络 信干比 sensor networks power control dynamic networks signal to interference plus noise ratio
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  • 1F P Kelly, A Maultoo, D Tan. Rate control for communication networks:shadow prices, proportional fairness and stability[ J]. Journal of the Operation Research Society, Mar. 1998, 49(3) : 237 - 252.
  • 2M Chiang. Balancing transport and physical layers in wireless multihop networks:Jointly optimal congestion control and power control[J]. IEEE, Journal on Selected Areas in Communications, Jan.2005 23(1):104- 116.
  • 3L Xiao, M Johasson, S P Boyd. Simultaneous routing and resource allocation via dual decomposition [ J ]. IEEE Transaction on communications, Jul. 2004,52(7) : 1136 - 1144.
  • 4S H Low,D E Lapsley. Optimal flow control, I: Basic algorithm and convergence [ J ]. IEEE/ACM Transactions on networking, Dec. 1999,7(6) :861 - 874.
  • 5M Chiang,S H Low,A R Calder, and J C Doyle. Layering as optimization decomposition: A mathematical theory of network architectures[J]. Proceeding of IEEE, Jan 2007,95 ( 1 ) : 255 - 312.
  • 6S Sadagopan, M Singh, B Krishnamachari. Decentralized utilitybased sensor network design[ J ]. Mobile Networks and Applications, 2006,11:341 - 350.
  • 7W P Chen,L Sha. An energy-aware data-centric utility based approach in wireless sensor networks[A ]. In Proc. ACM IPSN' 2004[ C]. Berkeley, California, USA, 2004.215 - 224.
  • 8Y Cui,Y Xue and K Nahrstedt. A utility-based distributed maximum lifetime routing algorithm for wireless networks[J].IEEE Journal on Selected Areas in Communications, May 2006, 55 (3) :797 - 805.
  • 9O Ileri, S Mau, B Mandayam. Pricing for enabling forwarding in self-configuring and hoc networks[ J]. IEEE Journal on Selected Areas in Communications, Jan. 2005,23( 1 ) : 151 - 162.
  • 10Jianwei Huang, Randall A. Berry and Michael L. Honig. Distributed interference compensation for wireless networks [ J ]. IEEE Journal on Selected Areas in Communications, Jan.2006, 24(5) : 1074 - 1084.

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  • 1鲍华,吴仲城,申飞.无线信息采集移动平台设计[J].仪器仪表学报,2006,27(z1):135-136. 被引量:3
  • 2ZHOU Gang. Design and Simulation of UUV-Based Underwater Sensor Network Vigilance and Detection System [C]. Robotics and Biomimetics. ROBIO'06. IEEE International Conference on. Kuaming. 2006, 4: 317-322.
  • 3BAUMGARTNER K A C. Optimal Control of an Underwater Sensor Network for Cooperative Target Tracking [J]. IEEE Journal of Oceanic Engineering, 2009, 10(34): 678-697.
  • 4EINSTEIN A. Investigations on the Theory of the Brownian Movement [M]. dover publications, 1956.
  • 5HONG Xiao-yan, TAEK Jinkwon, GERLA M, et al. A mobility Framework for ad hoc Wireless Networks [C]//proceedings of the second international conference on mobile data management. Berlin of Germeny: Springer-Verlay, 2001: 185-196.
  • 6BHATTACHARYEE D. Empirical Modeling of Campus-Wide Pedestrian Mobility: Observations on the Use Campus [M]. Los angeles, CA, United States: Institute of Electrical and Electronics Engineers Inc, 2004.
  • 7SANCHEZ M. Mobility Models [EB/OL]. http: //www. disca, upv. es/misan/mobmodel, htm. 2001-05-13.
  • 8GUO Z, GUO Y. Perpendicular Fntersection: Locating Wireless Sensors with Mobile Beaconf [J]. In IEEE Transactions on Vehicular Technology, 2010, 59(7) : 3501-3509.
  • 9LEE E. Cyber Physical Systems: Design Challenges [C]. Berkeley: l lth IEEE Symposium on Object Oriented Real- Time Distributed Computing University of California, 2008.. 2045-2053.
  • 10OING C, TIAN H, ABDELZAHER T. uCast: Unified Connectionless Multicast for Energy Efficient Content Distribu tion in Sensor Networks [J]. IEEE Transactions on Parallel and Distributed Systems, 2007, 18(2): 240-250.

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