期刊文献+

基于模糊图论的多跳WSN冗余节点部署算法 被引量:3

A fuzzy graph theory based redundant node deployment algorithm for multi-hop WSN
下载PDF
导出
摘要 针对多跳无线传感器网络(WSN)的漏斗效应问题,提出了基于簇负载平衡的冗余节点部署算法(RNDA)。RNDA采用分簇结构平衡簇内能耗,并根据各簇负载情况配置一定数量的冗余节点以平衡簇际能耗。该算法把节点下一跳选路概率作为边模糊权值引入模糊图论,提出了用于计算数据从源节点经m跳到达目的节点概率的到达率定理,为研究网络数据传输提供了一种有效方法。以此定理为基础的通用负载分布计算方法适合n维布局、多路径路由的网络。理论分析和仿真结果表明,RNDA既能明显延长网络寿命,又能有效平衡网络中节点能耗。 A redundant node deployment algorithm (RNDA) based on cluster load balancing is proposed to resolve the funnel-ing effect problem in multi-hop wireless sensor networks (WSN). The RNDA uses a clustering structure to balance the energy consumption of the nodes in a cluster. According to the load of clusters in WSN, a certain amount of redundant nodes are deployed to balance the energy consumption among clusters. As the fuzzy weight of the graph edge, the next hop route selection probability of the nodes is introduced into the fuzzy graph theory, and a theorem for calculating the probability that data transmits from source nodes to destination nodes with m hops is proposed. The presented theorem pro- vides an effective way for the research on the field of data transmission in networks. A general method for calculating load distribution based on the theorem is suitable for n-dimensional and multi-path routing networks. The analysis and simulation results show that the algorithm can both prolong the network lifetime effectively and balance the energy consumption in networks.
出处 《高技术通讯》 CAS CSCD 北大核心 2011年第3期223-227,共5页 Chinese High Technology Letters
基金 863计划(2006AA102258)资助项目.
关键词 无线传感器网络(WSN) 冗余节点部署 漏斗效应 模糊图论 负载分布 wireless sensor networks (WSN), redundant node deployment, funneling effect, fuzzy graph theory, load distribution
  • 相关文献

参考文献15

  • 1Wan C Y, Eisenman S B, Campbell A T, et al. Overload traffic management for sensor networks. ACM Transactions on Sensor Networks, 2007, 3(4) :doi: 10.1145/1281492.1281493. 被引量:1
  • 2Ahn G S, Miluzzo E, Campbell A T, et al. Funneling-MAC : a localized, sink-oriented MAC for boosting fidelity in sensor networks. In: Proceedings of the 4th International Conference on Embedded Networked Sensor Systems. New York: ACM, 2006. 293-306. 被引量:1
  • 3Howitt I, Wang J. Energy balanced chain in distributed sensor networks. In: Proceedings of the 2004 IEEE Wireless Communications and Networking Conference, Atlanta, USA, 2004. 1721-1726. 被引量:1
  • 4Gupta G, Younis M. Performance evaluation of load-balanced clustering of wireless sensor networks. In : Proceedings of the 10th International Conference on Telecommunications, Papeete, Polynesia, 2003. 1577-1583. 被引量:1
  • 5Mohajerzadeh A H, Yaghrrkaee M H, Eskandari Z. Tree based energy efficiem and congestion aware routing protocol for wireless sensor networks. In: Proceedings of the 2008 l lth IEEE International Conference on Communication Systems, Singapore, 2008, 1707-1711. 被引量:1
  • 6Kalidindi R, Kannan R. Energy and deployement aware sensing for wireless sensor networks. In: Proceedings of the 2005 IEEE Interrmtional Conference on Wireless and Mobile Computing, Networking and Conmmnications, 2005. 446-453. 被引量:1
  • 7Niati R, Yazdani N, Nourani M. Deployment of spare nodes in wireless sensor networks. In : Proceedings of the 2006 IFIP International Conference on Wireless and Optical Communications Networks, Bangalore, India, 2006. 被引量:1
  • 8Li B, Wang Q, Yang Y M, et al. Optimal distribution of redundant sensor nodes for wireless sensor networks, In: Proceedings of the 2006 IEEE International Conference on Industrial Informatics, Chongqing, China, 2006. 985-989. 被引量:1
  • 9Rickard J T, Yager R R. Hypercube graph representations and fuzzy measures of graph properties. IEEE Transactions on Fuzz), Systerm. , 2007, 15:1278-1293. 被引量:1
  • 10Comelis C, Kesel P D, Kerre E E. Shortest paths in fuzzy weighted graphs. International Journal of Intelligent Systems, 2004, 19:1051-1068. 被引量:1

同被引文献35

  • 1崔莉,鞠海玲,苗勇,李天璞,刘巍,赵泽.无线传感器网络研究进展[J].计算机研究与发展,2005,42(1):163-174. 被引量:730
  • 2WANG B. Coverage control in sensor networks [M]. Berlin: Springer, 2010. 被引量:1
  • 3LUO R C, CHEN O. Mobile sensor node deployment and asyn- chronous power management for wireless sensor networks [ J]. IEEE Transactions on Industrial Electronics, 2012, 59(5) : 2377 - 2385. 被引量:1
  • 4XIONG S G, YU L, SHEN H Y, et al. Efficient algorithms for sen- sor deployment and routing in sensor networks for network-structured environment monitoring [ C]/! INFOCOM 2012: Proceedings of the 31st Annum IEEE International Conference on Computer Communi- cations. Washington, DC: IEEE Computer Society, 2012: 1008- 1016. 被引量:1
  • 5JIN M, RONG G D, WU H Y, et al. Optimal surface deployment problem in wireless sensor network [ C]// INFOCOM 2012: Pro- ceedings of the 31 st Annual IEEE International Conference on Com- puter Communications. Washington, DC: IEEE Computer Society, 2012:2345-2353. 被引量:1
  • 6SENOUCI M R, MELLOUK A, OUKHELLOU L, et al. Uncertain- ty-aware sensor network deployment [ C]//GLOBECOM 2011 : Pro- ceedings of the 2011 Global Communications Conference. Piscat- away: IEEE Press, 2011:1-5. 被引量:1
  • 7SMETS P, HSIA Y T, SAFFIOTYI A, et al. The transferable belief model [ C]/! Proceedings of the 1991 European Conference ECSQAU. Berlin: Springer, 1991:91-96. 被引量:1
  • 8DHILLON S S, CHAKRABARTY K. Sensor placement for effective coverage and surveillance in distributed sensor networks [ C]//Pro- ceedings of the 2003 IEEE Wireless Communications and Networ- king. Piscataway: IEEE Press, 2003: 1609- 1614. 被引量:1
  • 9ZOU Y, CHAKRABARTY K. Uncertainty-aware sensor deployment algorithms for surveillance applications [ C]//GLOBECOM'03: Pro- ceedings of the 2003 Global Telecommunications Conference. Piscat- away: IEEE Press, 2003:2972-2976. 被引量:1
  • 10AITSAADI N, ACHIR N, BOUSSETTA K, et al. A tabu search WSN deployment method for monitoring geographically irregular dis- tributed events [J]. Sensors, 2009, 9(3): 1625 - 1643. 被引量:1

引证文献3

二级引证文献23

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部