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能量平衡与QoS保障的无线传感器网络机会路由 被引量：6

Energy Balanced and QoS Guaranteed Opportunistic Routing for Wireless Sensor Network
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摘要 针对无线传感器网络应用中存在大量不可靠通信链路,很难实现能效优化与QoS保障,提出一种能量平衡与QoS保障的机会路由协议EQGOR,并结合机会转发特征建立了传输效率、转发时延、转发能效与节点剩余能量模型.提出了一种基于多目标粒子群的自适应转发集优化算法,该算法兼顾能量与QoS需求,能实现QoS保障并最大化网络生存时间.仿真实验表明,相比机会路由GOR与传统的QoS多路径路由QuESt,本文提出的EQGOR(Energy balanced and QoS guaranteed Geographic Opportunistic Routing)具有更优的QoS与能量效率. Because there are a large number of unreliable communication links in wireless sensor network applications,it is difficult to achieve energy efficiency and QoS guarantee.So an energy balanced and QoS guaranteed geographic opportunistic routing protocol（EQGOR） was proposed to solve this problem.Based on opportunistic transmit mechanism,we established the models of forwarding efficiency,forwarding delay,energy efficiency and residual energy,and then proposed an adaptive forwarding set optimization algorithm based on multi-objective particle swarm optimization algorithm,which takes into account both energy and QoS requirement to meet QoS requirement and extend network lifetime.The simulation results have shown that this routing performs better than the opportunistic routing GOR and the traditional multi-path QoS routing QuESt in QoS and energy efficiency.
作者 岳林 易本顺 肖进胜
机构地区 武汉大学电子信息学院 中国舰船研究设计中心
出处 《湖南大学学报（自然科学版）》 EI CAS CSCD 北大核心 2011年第11期82-87,共6页 Journal of Hunan University:Natural Sciences
基金 国家自然科学基金资助项目(61070243) 湖北省自然科学基金资助项目(2009cdb328)
关键词 无线传感器网络 机会路由 能量平衡 服务质量 多目标粒子群优化 wireless sensor networks opportunistic routing energy balance service quality multi-objective particle swarm optimization
分类号 TN915 [电子电信—通信与信息系统]
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参考文献10

  • 1SAXENA Navrati, ABHISHEK Roy, JITAE Shin. QuESt, a QoS-based energy efficient sensor routing protocol[J]. Wire- less Communications and Mobile Computing, 2009, 9(3):417 -426.
  • 2MARTIROSYAN Anahit, AZZEDINE Boukerche, RICH- ARD W, etal. Energy-aware and quality of service-based rou- ting in wireless sensor networks and vehicular ad hoe networks [J]. Annalesdes Telecommunications/Annals of Telecommuni- cations, 2008, 63(11/12):669-681.
  • 3SHAH R C, WIETHOLTER S, WOLISZ A, et al. When does opportunistic routing make sense.'[C]//Third IEEE In- ternational Conference on Pervasive Computing and Communi- cations Workshops. Kauai IslandInstitute of Electrical and E- lectronics Engineers Computer Society, 2005: 350-356.
  • 4ZENG Kai, LOU Wen-jing, YANG Jie,et al. On throughput efficiency of geographic opportunistic routing in multihop wire- less networks [J]. Mobile Networks and Applications, 2007, 12(5/6) :347-357.
  • 5LIU Hai-tao, ZHANG Bao-xian, HUSSEIN T M, et al. Op- portunistic routing for wireless ad hoc and sensor networks t present and future directions[J]. IEEE Communications Maga- zine, 2009, 47(12) 1103-109.
  • 6ZUNIGA M, KRISHNAMACHARI B. Analyzing the transi- tional region in low power wireless links[C] //Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks. Santa Clara, Canada Institute of Electrical and Electronics Engineers Inc, 2004: 517-526.
  • 7ANZAI D, HARA S. Experimental evaluation of a simple outli- er RSSI data rejection algorithm for location estimation in wireless sensor networks[J]. Ieice Transactions on Communi- cations, 2008,91B(11) :3442-3449.
  • 8凡高娟,王汝传,孙力娟.基于RSSI的无线传感器网络环境参数分析与修正方案[J].南京邮电大学学报（自然科学版）,2009,29(6):54-57. 被引量：6
  • 9HEINZELMAN Wendi Rabiner, CHANDRAKASAN Anan- tha, BALAKRISHNAN Hari. Energy-efficient communica- tion protocol for wireless microsensor networks[C]// Proceed- ings of the 33rd IEEE Hawaii International Conference on Sys- tem Sciences(HICSS-33). Maui, Hawaii: IEEE Computer Soci- ety, 2000:233-243.
  • 10赵红梅,李科伟.基于改进的TOPSIS法在供应链中经销商的选择与评价方法研究[J].内蒙古农业大学学报（自然科学版）,2007,28(2):180-186. 被引量：5

二级参考文献21

  • 1蒋华,张淑君.基于改进的AHP方法进行空调冷热源方案优选[J].流体机械,2005,33(5):67-69. 被引量：17
  • 2吴立云,杨玉中,张强,景国勋.综采工作面安全性评价的逼近理想解(TOPSIS)方法[J].中国安全科学学报,2006,16(4):109-113. 被引量：17
  • 3AKYILDIZ I F,SU W, SANKARASUBDAM Y,et al. Wireless Sensor Networks : A Survey [ J ]. Comp Networks, 2002,38 ( 4 ) : 393 - 422.
  • 4AZUMA R. Tracking Requirements for Augmented Reality [ J ]. Communication of the ACM, 1993,36 ( 7 ) :50 - 51.
  • 5BULUSU N, HEIDEMANN J,ESTRIN D. GPS-less Low Cost Outdoor Localization For Very Small Devices [ J]. IEEE Personal Communications Magazine,2000,7 ( 5 ) : 28 - 34.
  • 6GIROD L, EST RIND. Robust Range Estimation Using Acoustic and Multimodal Sensing[ C]//Proc of the IEEE/RSJ Int' l Conf on Intelligent Robots and Systems. Maui:IEEE Robotics and Automation Society ,2001,3 : 1312 - 1320.
  • 7GIROD L, BYCHOVSKIY V, ELSON J, et al. Locating Tiny Sensors in Time and Space : A Case Study [ C ]//WERNER B. Proc of the 2002 IEEE Int'l Conf on Computer Design : VLSI in Computers and Processors. Freiburg: IEEE Computer Society,2002:214 - 219.
  • 8ZHOU G,HE T,KRISHNAMURTHY S,et al. Models and solutions for radio irregularity in wireless sensor networks[ J]. ACM Trans on Sensor Networks,2006,2 (2) :221 - 262.
  • 9REGHEHN R. RF-based location system using cooperative calibration[ C]//Proceedings of the 3rd IEEE International Workshop on Wireless Ad-hoc and Sensor Networks. New York,2006.
  • 10ELNAHRAWY E, MARTIN R P. The limits of localization using signal strength : a comparative study [ C ]//IEEE SECON. Santa Clara, CA, USA. 2004.

共引文献9

同被引文献70

  • 1梁华为,陈万明,李帅,梅涛,孟庆虎.基于蚁群优化的无线传感器网络能量均衡路由算法[J].模式识别与人工智能,2007,20(2):275-280. 被引量：12
  • 2Akyildiz I, Melodia T, Chowdhury K. A survey on wireless multimedia sensor networks[J]. Computer Networks, 2007, 51(4) : 921-960.
  • 3Yick J, Mukherjee B. Wireless sensor network survey[J]. IEEE Computer Networks, 2008, 52(12): 2292-2330.
  • 4Dai Zhicheng, Li Zhi, Wang Bingwen, et al. An energy aware cluster-based routing protocol for wireless sensor and actor network[J]. Information Technology, 2009, 8(7) : 1044- 1048.
  • 5Chouhan S, Bose R, Balakrishnan M. Integrated energy analysis of error correcting codes and modulation for energy effi- cient wireless sensor nodes[J]. IEEE Transactions on Wireless Communications, 2009, 8(10): 5348-5355.
  • 6Chang Y C, Lin Z S, Chen J L. Cluster based self organization management protocols for wireless sensor networks[J]. IEEE Transactions on Consumer Electronics, 2006, 52(1) : 75-80.
  • 7Luo X, Dong M, Huang Y. On Distributed fault tolerant detection in wireless sensor networks[J]. IEEE Transactions on Computers, 2006, 55(1): 58-70.
  • 8Younis O, Fahmy S. HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks[J] IEEE Transactions on Mobile Computing, 2004, 3(4) : 366-379.
  • 9Krishnanand K N, Ghose D. Theoretical foundations for rendezvous of glowworm-inspired agent swarms at multiple loca tions[J]. Robotics and Autonomous Systems, 2008, 56(7): 549 569.
  • 10Krishnanand K N, Ghose D. Glowworm swarm optimization: new method for optimizing multi modal functions[J]. Corn putational Intelligence Studies, 2009, 1(1) : 93-119.

引证文献6

二级引证文献8

湖南大学学报（自然科学版）
2011年 第11期

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