期刊文献+

基于Cayley图的跨层定向扩散路由算法 被引量:1

Cross-Layer Directed Diffusion Routing Algorithm Based on Cayley Graph
下载PDF
导出
摘要 为提高无线传感器网络的能量利用率,采用图嵌入的方法在MAC层设计固定信道分配协议,在此基础上使用跨层路由协议改进了定向扩散的路由协议,提出一种基于Cayley图的跨层定向扩散路由算法(CLDD).模型采用的图嵌入方法以Cayley图为逻辑拓扑结构,它具有点对称性质且网络直径达到O(log2N),这使下一跳路由简单、平均路由长度缩小,而且使系统具有高聚集性及鲁棒性.仿真实验表明,CLDD在系统能耗以及传输时延等方面均优于定向扩散算法和Omniscient Multicast算法. In order to improve the energy utilization of wireless sensor networks,a fixed-channel allocation protocol is designed in MAC layer via the graph embedding,based on which the directed diffusion routing protocol is improved through a cross-layer approach,and a cross-layer directed diffusion(CLDD) routing algorithm is presented based on the Cayley graph.In the presented graph embedding method,the Cayley graph is used as the logical topology with vertex symmetry and with a network diameter of O(log2N),which simplifies the next hop routing and shortens the average routing length and,furthermore,improves the integrity and robustness of the system.Simulated results indicate that CLDD algorithm is superior to the directed diffusion algorithm and the Omniscient Multicast algorithm in terms of energy consumption and transmission delay.
作者 李岚 肖文俊
出处 《华南理工大学学报(自然科学版)》 EI CAS CSCD 北大核心 2012年第6期118-125,共8页 Journal of South China University of Technology(Natural Science Edition)
基金 国家自然科学基金资助项目(60973150 61170313) 江西省自然科学基金资助项目(2011ZBAB211003)
关键词 无线传感器网络 能量利用率 MAC协议 路由算法 跨层设计 图嵌入 wireless sensor networks energy utilization MAC protocol routing algorithm cross-layer design graph embedding
  • 相关文献

参考文献22

  • 1Anastasi G,Conti M, Di Francesco M, et al. Energy con- servation in wireless sensor networks : a survey [ J ]. Ad Hoc Networks, 2009,7 ( 3 ) : 537- 568.
  • 2Ruzzelli A G,O'Hare G M P,Jurdak R. MERLIN: Cross- layer integration of MAC and routing for low duty-cycle sensor networks [ J ]. Ad Hoc Networks, 2008,6 ( 8 ) : 1238-1257.
  • 3Vuran Mehmet C, Akyildi I F. XLP:a cross-layer protocol for efficient communication in wireless sensor networks [J]. IEEE Transactions on Mobile Computing, 2010, 9 (10) :1578-1591.
  • 4Van Hoesel L, Nieberg T, Wu J, et al. Prolonging the life- time of wireless sensor networks by cross-layer interaction [ J ]. Wireless Communications,IEEE,2004,11 (6) :78- 86.
  • 5Michele Zorzi, Ramesh R R. Geographic random forwar- ding(GeRaF) for ad hoc and sensor networks: multihop performance [ J ]. IEEE Transactions on Mobile Compu- ting,2003,2(4) :337-348.
  • 6Liang Song, Dimitrios Hatzinakos. A cross-layer architec- ture of wireless sensor networks for target tracking [ J ]. IEEE/ACM Ttransactions on Networking, 2007,15 ( 1 ) : 145-158.
  • 7Skraba P, Aghajan H, Bahai A. Cross-layer optimization for high density sensor networks:distributed passive rou- ting decisions [ C ]//Ad-Hoc, Mobile, and Wireless Net- works Third International Conference. Vancouver:Springer Verlag,2004 : 266.
  • 8Intanagonwiwat C, Govindan R, Estrin D, et al, Directed diffusion for wireless sensor networking [ J ]. IEEE/ACM Ttransactions on Networking ,2003,11 ( 1 ) :2-16.
  • 9Heinzelman W R, Kulik J, Balakrishnan H. Adaptive pro- tocols for information dissemination in wireless sensor net- works [ C ] // in 5th Annual ACM_/1EEE International Conference on Mobile Computing and Networking. New York : ACM, 1999 : 174-185.
  • 10David Braginsky, Deborah Estrin. Rumor routing algori- thm for sensor networks [ C ] // in 1 st ACM International Workshop on Wireless Sensor Networks and Applica- tions. New York:ACM,2002:22-31.

同被引文献2

引证文献1

二级引证文献1

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