期刊文献+

无线传感器网络一种不相交路径路由算法 被引量:10

A Disjoint Multi-Path Routing Algorithm in Wireless Sensor Network
在线阅读 下载PDF
导出
摘要 无线传感器网络经常被用来采集物理数据,监测环境变化.由于低功耗无线通信不确定性、链路质量不稳定性以及节点失效等问题,传感器网络很容易导致路由数据包丢失.为了提高网络路由的可靠性,人们提出多路径路由算法.多路径路由中源节点到目的节点的多条路径可能含有公共节点,或者公共边,如果公共节点或者公共链路失效,则这个数据包也丢失,因此又有人提出不相交多路径路由算法.不相交多路径路由算法又分为链路不相交多路径路由算法和节点不相交多路径路由算法.提出了一种不相交路径路由算法,可以将感知节点采集到的数据通过不相交路径传送到汇聚节点,提高路由的可靠性.而且,这个算法还可以很方便地应用到多Sink节点的网络当中.该路由算法用到的路由表大小为|K|,其中|K|表示路径数.算法的运行时间复杂度是O(|L|),其中|L|表示网络中的边数. Wireless sensor network (WSN) are usually used to monitor environment by collecting data from sensors deployed in a particular area. But the link quality of WSN is unstable and the network easily has nodes failures, so the data loss is an open problem in wireless sensor network. In order to achieve routing robustness in networks, people proposed multi-path routing (MPR) in sensor networks. But MPR fails when the common links or the common nodes in multiple paths fail. To solve the common-link and common-node problem, disjoint multi-path routing (DMPR) is employed where sensors send data to the sink through link-disjoint or node-disjoint path. In this paper, the authors develop a routing mechanism where sensor nodes can send data to sink through node-disjoint paths. And the algorithm is suited for multi-sink applications where every sensor node can forward the packets to any one of the sinks. The number of routing table entries of the algorithms at each node is |K|, where |K| denotes the number of multi-path. The running time complexity of the algorithm is O(|L|), where |L| denotes the number of links in the network. The experiment results show that the algorithm can effectively improve the routing reliability in sensor networks.
出处 《计算机研究与发展》 EI CSCD 北大核心 2009年第12期2053-2061,共9页 Journal of Computer Research and Development
基金 国家"九七三"重点基础研究发展计划基金项目(2006CB303000) 国家自然科学基金项目(60533110 60703012) 国家自然科学基金委员会与香港研究资助局联合科研基金项目(60831160525)~~
关键词 无线传感器网络 分布式 多路径路由 不相交路径路由 可靠性 wireless sensor network distribution multi-path routing disjoint multi-path routing reliability
  • 相关文献

参考文献21

  • 1李建中,李金宝,石胜飞.传感器网络及其数据管理的概念、问题与进展[J].软件学报,2003,14(10):1717-1727. 被引量:623
  • 2Ishida K, Kakuda Y, Kikuno T. A routing protocol for finding two node-disjoint paths in computer networks [C] // Int Conf on Network Protocols. Washington DC: IEEE, 1992:340-347.
  • 3Suurhalle J W, Disjoint paths in a network [J]. Networks, 1974, 4:125-145.
  • 4Suurhalle J W, Tarjan R E. A quick method for finding shortest pairs of disjoint paths [J]. Networks, 1984, 14(2) : 325-336.
  • 5Bhandari R. Optimal physical diversity algorithms and survivable networks [C] //Proc of the 2nd IEEE Symp on Computers and Communications 1997. Washington: IEEE, 1997:433-441.
  • 6Lee S J, Gerla M. Split multipath routing with maximally disjoint paths in ad hoe networks [C] //Proc of IEEE ICC 2001. Washington: IEEE, 2001:3201-3205.
  • 7Nasipuri A, Das S R. mobile ad hoc networks Washington: IEEE, 199 On-demand multi-path routing for [C] //Proc of IEEE ICCCN 1999. 9: 64-70.
  • 8Vutukury S, Garcia-Luna-Aceves J J. MDVA.. A distancevector multipath routing protocol [C] //Proc of IEEE INFOCOM 2001. Washington: IEEE, 2001:557-564.
  • 9Richard G Ogier, Nachum Shacham. A distributed algorithm for finding shortest pairs of disjoint paths [C]//Proc of IEEE INFOCOM 1989. Washington: IEEE, 1989:173-182.
  • 10Sidhu D, Nair R, Abdallah S. Finding disjoint paths in networks [C] //Proc of ACM SIGCOMM 1991. New York: ACM, 1991:43-51.

二级参考文献41

  • 1Ganesan D, Govindan R, Shenker S, Estrin D. Highly-Resilient, energy-efficient multipath muting in wireless sensor networks.Mobile Computing and Communications Review, 2002,1(2):295-298.
  • 2Braginsky D, Estrin D. Rumor routing algorithm for sensor networks. In: Raghavendra CS, ed. Proceedings of the 1st Workshop on Sensor Networks and Applications. New York: ACM Press, 2002.
  • 3Girod L, Bychkovskiy V, Elson J, Estrin D. Locating tiny sensors in time and space: A case study. In: Manoli Y, Kim KS, eds.Proceedings of the International Conference on Computer Design. Piscataway: IEEE Press, 2002. 195-204.
  • 4Bulusu N, Estrin D, Girod L, Heidemann J. Scalable coordination for wireless sensor networks: Self-Configuring localization systems. 2001. http://lecs.cs.ucla.edu/-bulusu/papers/Bulusu01c.html.
  • 5Cerpa A, Estrin D. ASCENT: Adaptive self-configuring sensor networks topologies. In: Kermani P, ed. Proceedings of the 21st International Annual Joint Conference of the IEEE Computer and Communications Societies. Piscataway: IEEE Press, 2002.101-111
  • 6Elson J. Time synchronization services for wireless sensor networks. In: Kumar V, ed. Proceedings of the 15th International Parallel & Distributed Processing Symposium. 2001. Los Alamitos: IEEE Computer Press, 2001. 1965-1970.
  • 7Ye W, Heidemann J, Estrin D. An energy-efficient MAC protocol for wireless sensor networks. In: Kermani P, ed. Proceedings of the 21st International Annual Joint Conference of the IEEE Computer and Communications Societies. Piscataway: IEEE Press,2002.91-100.
  • 8Heidemann J, Silva F, Intanagonwiwat C. Building efficient wireless sensor networks with low level naming. In: Marzullo K, ed.Proceedings of the 18th ACM Symposium on Operating System Principles. New York: ACM Press, 2001. 146-159.
  • 9Intanagonwiwat C, Govindan R, Estrin D, Heidemann J, Silva F. Directed diffusion for wireless sensor networking. ACM/IEEE Transactions on Networking, 2002, 11(1):2-16.
  • 10Liu J, Cheung P, Ouibas L, Zhao F. A dual-space approach to tracking and sensor management in wireless sensor networks. In:Reghavendrv CS, ed. Proceedings of the ACM International Workshop on Wireless Sensor Networks and Applications. New York:ACM Press, 2002. 162-173.

共引文献622

同被引文献96

  • 1陈跃泉,郭晓峰,曾庆凯,陈贵海.AMR:一个基于网络最大流的Ad-Hoc多路径路由算法[J].电子学报,2004,32(8):1297-1301. 被引量:25
  • 2张品,章坚武,李乐民,王晟.QoS约束下的链路分离路径问题研究[J].通信学报,2006,27(6):36-42. 被引量:11
  • 3吴正宇,宋瀚涛,姜少峰,梁野,徐晓梅.一种稳定的不相交多路径蚂蚁路由算法[J].北京理工大学学报,2007,27(4):322-326. 被引量:3
  • 4朱红松,孙利民,徐勇军,李晓维.基于精细化梯度的无线传感器网络汇聚机制及分析[J].软件学报,2007,18(5):1138-1151. 被引量:20
  • 5Carlos F, Oareia-Herndndez, Pablo H, et al. Wireless sensor networks and applications: A survey [J]. International Journal of Computer Science and Network Security (IJCSNS), 2007, 7(3) : 264-273.
  • 6Akyildiz I F, Su W, Sankarasubramaniam Y, et al. Wireless sensor networks: A survey [J]. Computer Networks, 2002, 38(4) : 393-422.
  • 7Ying Zhang, Markus Fromherz. Constrained flooding: A robust and efficient routing framework for wireless sensor networks [C] //Proc of the 20th Int Conf on Advanced Information Networking and Applications ( AINA'06 ). Piscataway, NJ: IEEE, 2006.- 387-392.
  • 8Intanagonwiwat C, Govindan R, Estrin D. Directed diffusion: A scalable and robust communication paradigm for sensor networks[C]//Proc of the 6th ACM/IEEE Annual Int Conf on Mobile Computing and Networking. New York: ACM, 2000:56-67.
  • 9Ye F, Chen A, Liu S W, et al. A scalable solution to minimum cost forwarding in large sensor networks [C]//Proc of the 10th Int Conf on Computer Communications and Networks. New York: IEEE Communications Society, 2001:304-309.
  • 10Han Kook-Hee, Ko Young-Bae, Kim Jai Hoon. A novel gradient approach for efficient data dissemination in wireless sensor networks [C] //Vehicular Technology Conf. New York: IEEE Vehicle Technology Society, 2004: 2979-2983.

引证文献10

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