期刊文献+

基于链路质量的无线传感器网络路由量度研究 被引量:5

Study on Combined Routing Metric Based on Link Quality for Wireless Sensor Networks
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摘要 选择合适的路由量度对于提高无线传感器网络的路由效率而言至关重要。综述了现有无线网络几种典型的路由量度,并通过实验研究,发现了无线传感器网络的通信链路存在着高丢失率、非对称性等特点;进而分析了采用传统单一的路由量度方法在设计无线传感器网络路由协议时存在的不足;通过定义链路连接门限β,提出了一种基于Hops与ETX相结合的混合路由量度方法;将此路由量度方法应用于AODV协议中,仿真结果表明所提出的混合路由量度是一种高吞吐量,低丢失率的量度方法,能够为无线传感器网络高效路由协议的设计提供有价值的参考。 Selecting a suitable routing metric is very important for improving the routing performance of wireless sensor networks. A summary to the existing routing metrics was made and the several key characteristics of wireless sensor networks communication link, such as high loss rate, obvious asymmetry, were found according to the experimental study. Then, It was analyzed that it was deficient to design routing protocols for wireless sensor networks based on a single routing metric and a new combined routing metric was produced based on Hops and ETX according to defining a link connected threshold, denoted as l~. The routing metric was adopted to improve the traditional AODV routing protocol. Simulation results show that the combined routing metric is an excellent routing metric with high throughput and low loss ratio and can provide valuable reference to design efficient routing protocols in wireless sensor networks.
出处 《系统仿真学报》 EI CAS CSCD 北大核心 2008年第7期1938-1944,共7页 Journal of System Simulation
基金 国家自然科学基金(69873007) 国家985重点建设项目(.985-2-ES-K01) 国家科技部火炬计划项目(2002EB010154)
关键词 无线传感器网络 混合路由量度 链路质量测量 过渡区 网络仿真 wireless sensor networks combined routing metric link quality measurement transitional area network simulation
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参考文献18

  • 1Jason L H. System Architecture for Wireless Sensor Networks [D]. USA: University of California, Berkeley, 2003: 10-54.
  • 2梁韦华,于海斌,臧传治,邢志浩.基于多智能体的无线传感器网络仿真平台的研究[J].系统仿真学报,2006,18(4):913-917. 被引量:12
  • 3Loh K, Long H, Pan Y. An Efficient and Reliable Routing Protocol for Wireless Sensor Networks [C]// Proceedings of the 6th IEEE International Symposium on a World of Wireless Mobile and Multimedia Networks (WoWMoM'05), Taormina: IEEE, 2005: 512-516.
  • 4袁凌云,朱云龙.基于NS2的无线传感器交通监控网络仿真[J].系统仿真学报,2007,19(3):660-664. 被引量:6
  • 5Gnawali O, Yarvis M, John H, et al. Interaction of Retransmission, Blacklisting, and Routing Metrics for Reliability in Sensor Network Routing [C]// Proceedings of the First IEEE Conference on Sensor and Ad hoc Communication and Networks, Santa Clara, California: IEEE, 2004: 34-43.
  • 6Richard D, Jitendra P, Brian Z. Comparison of Routing Metrics for Static Multi-Hop Wireless Networks [C]// Proceedings of ACM SIGCOMM on Data Communication, Portland, Oregon: SIGCOMM, 2004: 133-144.
  • 7Srinivasan K. A Control-Theoretic Approach to Flow Control [C]// Proceedings of the conference on Communications architecture& protocols, Zurich, Switzerland, 1991: 3-15.
  • 8Douglas S J, De C, Daniel A, et al. A High-Throughput Path Metric for Multi-Hop Wireless Routing [C]// Proceedings of the 9th Annual International Conference on Mobile Computing and Networking, San Diego: ACM SIGMOBILE, 2003:134-146.
  • 9Hu Y C, Johnson D B. Design And Demonstration of Live Audio And Video Over Multi-hop Wireless Ad Hoc Networks [C]// Proceedings of the Military Communications Conference, Anaheim, California: IEEE, 2002(2): 1211-216.
  • 10Jerry Z, Ramesh G. Understanding Packet Delivery Performance in Dense Wireless Sensor Networks [C]// Proceedings of the 1 st ACM Conference on Embedded Networked Sensor Systems, Los Angeles, CA: ACM, 2003: 1-13.

二级参考文献26

  • 1Uhrrnacher A,Swartout W.Applied System Simulation:Methodologies and Applications[M].Kluwer Academic Publishers,2003,215-239.
  • 2Wooldridge M,Jennings N R,Kinny D.The Gaia Methodology for Agent-oriented Analysis andDesign[J].Autonomous Agents and Multi-Agent Systems (S 1387-2532).2000,3(3):285-312.
  • 3Qi Y,et al.RoMAS:A Role-Based Modeling Method for Multi-Agent System[C]//Proceedings ofInternational Conference on Active MediaTechnology.2003.
  • 4Chaimowicz L,Campos M F,Kumar V.Dynamic Role Assignment for CooperativeRobots[C]//Proceedings of the IEEE International Conference on Robotics and Automation (ICRA),Washington,DC,2002,293-298.
  • 5Wendi Rabiner Heinzelman,Joanna Kulik,Hari Balakrishnan.Adaptive Protocols forInformation Dissemination in Wireless Sensor Networks[C]//Proceedings of the fifth annualACM/IEEE international conference on Mobile computing and networking,Seattle,WAUSA,1999,8:174-185.
  • 6Sozer E M,Stojanovic M,Proakis J G.Underwater Acoustic Networks[J].IEEE Journal ofOceanic Engineering (S0364-9059).2000,25(1):72-83.
  • 7Callaway E H.Wireless SensorNetwork:Architecture and Protocols[M].CRC Press LLC.2004,41-62.
  • 8Zhao F,Guibas L J Wireless Sensor Networks:An Information Processing Approach[M]Morgan Kaufmann,2004.
  • 9Pottie G,Kaiser W.Wireless Integrated Network Sensors[J].Communications of the ACM,2000,43(5):551-558.
  • 10MIT uAMPS project.u-Adaptive Multi-domain Power aware Sensor[EB/OL].http://www-mtl.mit,edu/research/icsystems/uamps,200l.

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