期刊文献+

采用邻居节点的改进ZigBee路由选择算法 被引量:4

An Improved ZigBee Routing Algorithm Using Neighbour Node
下载PDF
导出
摘要 在无线传感网络中,路由选择是高效使用网络、延长全网络寿命的关键之一.为了提高网络效率和节省网络整体能耗,提出了一种路由选择优化算法,该算法利用没连接到的邻居节点进行数据路由选择,以减少从源节点到目的节点的跳数,进而达到提高网络效率和节省能耗的目的.通过仿真实验对比分析了改进前后的实际效果,实验结果表明改进后的路由选择优化算法减少了ZigBee节点间路由的跳数和延迟,提高了路由效率,节省网络整体能耗. In wireless sensor networks( WSN), routing is a very important factor to determine the network efficiency and energy consumption, and it is also one of the key issues for the efficient use of the network and extending the life of the whole network. In order to improve network efficiency and save energy consumption of the network as a whole, a routing optimization algorithm was proposed. To reduce the number of hops from the source node to the destination node, no connection to the neighbor node data routing was used to improve network efficiency and save energy purposes. Through comparative analysis of simulation experiments, the actual effect of the improved experimental results showed that ZigBee node routing hops and delay were reduced based on the improved routing optimization algorithm, the routing efficiency was improved, and energy consumption of the network was saved as a whole.
出处 《东北大学学报(自然科学版)》 EI CAS CSCD 北大核心 2013年第12期1703-1706,共4页 Journal of Northeastern University(Natural Science)
基金 国家自然科学基金资助项目(2012BAF13B08 2012BAK24B01) 中央高校基本科研业务费专项资金资助项目(20110042110021)
关键词 无线传感器网络 ZIGBEE 路由选择 邻居节点 节能 WSN ZigBee routing neighbour node energy conservation
  • 引文网络
  • 相关文献

参考文献10

  • 1ZigBee Alliance, ZIGBEE specification [ S ]. ZigBee Document 053474r17. San Ramon ,2008:360 -385.
  • 2Saeyoung A, Sunshin A. KMCD-IME( Keeping the maximum communication distance and initial mutual exclusion among router nodes)topology control algorithm for effective routing in ZigBee networks [ J ]. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2010,93 ( 10 ) : 1744 - 1747.
  • 3吴镝,温涛,郭权,盛国军.基于蚁群系统的WSN能量有效路由算法[J].东北大学学报(自然科学版),2012,33(7):941-944. 被引量:2
  • 4Liu Y, Zhu H, Gu Z. A cluster-tree routing algorithm with reduced routing overhead in ZigBee networks [ J ]. Energy Procedia ,2011,13:2260 - 2266.7.
  • 5Zheng Y, Dressler F. Dynamic address allocations for management and control in wireless sensor networks [ C ]// 40th Annual Hawaii International Conference on System Sciences ( HICSS'07 ). Waikoloa, 2007 : 292b.
  • 6Yen L H,Tsai W T. Flexible address configurations for tree- based ZigBee/IEEE 802. 15. 4 wireless networks [ C ]// Advanced Information Networking and Applications ( AINA'08 ). Okinawa,2008:395 - 402.
  • 7Furuhata K, Yuasa K, Sakata S, et al. On optimum device distribution in ZigBee sensor network as a home network [J]. IEIC Technical Report,2006,106(358) :121 - 126.
  • 8Li X H, Fang K L, Gu J G. An improved ZigBee routing strategy for monitoring system [ C ]//First International Workshop on Intelligent Networks and Intelligent Systems ( ICINIS'08 ). Wuhan ,2008 : 255 - 258,.
  • 9Qiu W Z, Skafidas E, Hao P. Enhanced tree routing for wireless sensor networks [ J ]. Ad Hoc Networks, 2009,5: 638 - 650.
  • 10Yu T F, Park S, Lee E, et al. Elastic routing a novel geographic routing for mobile sinks in wireles sensor networks[J], lET C, 2010,4(6):716 -72.

二级参考文献8

  • 1Yick J, Mukherjee B, Ghosal D. Wireless sensor network survey[ J ]. Computer Networks, 2008, 52 ( 12 ) : 2292 - 2330.
  • 2Heinzelman W B, Chandrakasan A, Balakrishnan H. An application-specific protocol architecture for wireless microsensor networks [ J ]. IEEE Transactions on Wireless Communications, 2002,1 (4) : 660 - 670.
  • 3Lindsey S, Raghavendra C S. PEGASIS: power-efficient gathering in sensor information systems[C]//Proceedings of the IEEE Aerospace Conference. Montana: IEEE Aerospace and Electronic Systems Society, 2002:1125- 1130.
  • 4Dorigo M, Maniezzo W, Colorni A. The ant system: optimization by a colony of cooperating agents [ J ]. IEEE Transaction on Systems, Man, and Cybernetics--Part B, 1996,26(1):1- 13.
  • 5Dorigo M, Stutzle T. Ant colony optimization [ M ]. Cambridge: MIT Press, 2004:7 - 81.
  • 6Dorigo M, Caro G D. New ideas in optimization [ M]. London: McGraw-Hill, 1999 : 11 - 32.
  • 7Caro G D, Dorigo M. AntNet:distributed stigmergetic control for communications networks [ J ]. Journal of Artificial Intelligence Research (JAIR), 1998,9 ( 1 ) : 317 - 365.
  • 8Zhang Y, Kuhn L, Fromherz M, Improvements on ant routing for sen.sor networks [ C ] //Proceedings of the 4th International Workshop on Ant Colony Optimization and Swarm Intelligence (ANTS). Berlin: Springer-Verlag, 2004 : 154 - 165.

共引文献1

同被引文献49

  • 1沈昌祥,张焕国,冯登国,曹珍富,黄继武.信息安全综述[J].中国科学(E辑),2007,37(2):129-150. 被引量:359
  • 2刘嘉辉,颜景斌,宋大华.基于混沌的网络通信数据加密方法[J].哈尔滨理工大学学报,2007,12(1):32-35. 被引量:4
  • 3王兴元,王明军.超混沌Lorenz系统[J].物理学报,2007,56(9):5136-5141. 被引量:87
  • 4Javad Vazifehdan R. Venkatesha Prasad,Ertan Onur, Ignas Nieme- geers. Energy-Aware Routing Algorithms for Wireless Ad Hoc Net- works with Heterogeneous Power Supplies [ J ]. Computer Networks, October, 2011,55 ( 15 ) : 3256- 3274.
  • 5Huang Chemljung,Wang Yuwu ,Liao Hsiuhui ,et al. A Power-Efficient Routing Protocol for Underwater Wireless Sensor Networks [ J ]. Applied Soft Computing, March,2011,11 (2) :2348-2355.
  • 6Sudip Misra,Sanjay K Dhurandher, Mohammad S Obaidat ,et al. An Ant Swarm-Inspired Energy-Aware Routing Protocol for Wireless Ad-Hoc Networks [ J ]. Journal of Systems and Software, November,2010,83(11) :2188-2199.
  • 7Basma M Mohammad E1-Basioni, Sherine M Abd E1-Kader, Hussein S Eissa, et al. An Optimized Energy-Aware Routing Protocol for Wireless Sensor Network [ J ]. Egyptian Informaties Journal, July, 2011,12(2) :61-72.
  • 8Wanzhi Qiu, Efstratios Skafidas, Peng Hao. Enhanced Tree Routing for Wireless Sensor Networks [ J ]. Ad Hoc Networks, May, 2009, 7(3) :638-650.
  • 9Park J ,Sahni S. An Online Heuristic for Maximum Lifetime Routing in Wireless Sensor Networks [ J ]. IEEE Transactions on Computers, 2006,55(8) : 1048-1056.
  • 10李夏云,陈传淼.用龙格-库塔法求解非线性方程组[J].数学理论与应用,2008,28(2):62-65. 被引量:28

引证文献4

二级引证文献43

相关主题

;
使用帮助 返回顶部