期刊文献+

基于最短路径树的优化生存时间路由算法 被引量:14

Lifetime Optimized Routing Algorithm Based on Shortest Path Tree
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摘要 为提高无线传感网的生存时间,提出基于最短路径树的优化生存时间路由算法(LORA_SPT)。该算法引入节点分类概念,构造基于链路能耗因子、自身节点剩余能量因子、邻居节点剩余能量因子和类型权重因子等多个因子的权值函数。针对不同类型的节点采用不同的权重因子,最后利用dijkstra算法完成最短路径树,所有节点沿着最短路径树将数据发送给Sink节点。仿真结果表明:通过调整权值函数的四个因子,可以延长网络生存时间,均衡各个节点的能耗,将节点平均能耗保持在较低的水平,降低网络平均时延。在一定的条件下,LORA_SPT算法比PEDAP_PA、LET、Sum_w和Ratio_w算法更优。 To prolong the lifetime of wireless sensor network, lifetime optimized routing algorithm based on shortest path tree( LORA_ SFF) is proposed. The concept of node classification is introduced. The weight function is established with link energy consumption factor, residual energy factor of own nodes, residual energy factor of neighbor nodes and type weight factor. Different types of nodes use different type weight factors. Finally, dijkstra algorithm is used to construct the shortest path tree. All nodes transmit data along the shortest path tree to sink node. Simulation results show that by adjusting the four factors of weight function, LORA_SPT algorithm can prolong network lifetime,balance energy consumption of each node,remain node average energy consumption at a low level and reduce network latency time. Under certain conditions, LORA_SPT algorithm outperforms PEDAP_PA, LET, Sum_w and Ratio_w algorithms.
出处 《传感技术学报》 CAS CSCD 北大核心 2012年第3期406-412,共7页 Chinese Journal of Sensors and Actuators
基金 浙江省教育厅项目(Y201018705) 浙江树人大学校项目(2004R002)
关键词 无线传感网 优化生存时间 最短路径法 剩余能量 wireless sensor networks optimizing network lifetime shortest path tree residual energy
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参考文献11

  • 1Akyildiz I F, Su W L, Sankarasubramaniam Y, et al. A Survey on Sensor Networks [ J ]. IEEE Communications Magazine, 2002,40 (10) :2-116.
  • 2Yick J, Mukherjee B, Ghosal D. Wireless Sensor Network Survey [ Jl. Computer Networks,2008,52 ( 12 ) :2292-2330.
  • 3Wu X Y, Cassandras C G. A Maximum Time Optimal Control Approach to Routing in Sensor Networks[ A]. Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference [ C]//Spain : IEEE Computer Press,2005 : 1137 - 1142.
  • 4刘铁流,巫咏群.基于能量优化的无线传感器网络分簇路由算法研究[J].传感技术学报,2011,24(5):764-770. 被引量:38
  • 5Tan H O, Korpeoglu I. Power Efficient Data Gathering and Aggregation in Wireless Sensor Networks [ J ]. SIGMD Record, 2003,32(4) :66-71.
  • 6Zhu Y H, Wu W D, Victor C M, et al. Energy-Efficient Tree-Based Message Fenying Routing Schemes for Wireless Sensor Networks [ A ]. Thirteen International Conference on Communications and Networking in China [ C ]//Hangzhou, China,2008:25-28.
  • 7朱艺华,沈丹丹,吴万登,沈振伟,汤一平.无线传感器网络优化生存时间的动态路由算法[J].电子学报,2009,37(5):1041-1045. 被引量:35
  • 8陈友荣,俞立,董齐芬,洪榛.基于近邻算法的无线传感器网络功率控制[J].浙江大学学报(工学版),2010,44(7):1321-1326. 被引量:13
  • 9董齐芬,俞立,陈友荣,洪榛.移动无线传感网中的迭代蒙特卡罗定位算法研究[J].传感技术学报,2010,23(12):1803-1809. 被引量:13
  • 10Dimitri Bertsekas,Robert Gallager.卢刚,王康,译.数据网络(第二版)[M].北京:人民邮电出版社,2004-06.

二级参考文献48

  • 1张卿,谢志鹏,凌波,孙未未,施伯乐.一种传感器网络最大化生命周期数据收集算法(英文)[J].软件学报,2005,16(11):1946-1957. 被引量:18
  • 2周贤伟,林亮,覃伯平.一种无线传感器网络分簇规模约束算法[J].传感技术学报,2007,20(4):908-911. 被引量:3
  • 3文家焱,陈黎,毛恺.“小世界”无线传感器网络的最佳近邻节点数[J].电子测量技术,2007,30(4):202-205. 被引量:4
  • 4Tubaishat M,Madria S.Sensor networks:An overview[J].IEEE Potentials,2003,22(2):20-23.
  • 5Wang J,Howitt I.Optimal traffic distribution in minimum energy wireless sensor networks[A].2005 IEEE Global Telecommunications Conference[C].Washington DC,USA:IEEE Communications Society,2005.3274-3278.
  • 6Liang W,Liu Y.Online data gathering for maximizing network lifetime in sensor networks[J].IEEE Transactions on Mobile Computing,2007,6(1):2-11.
  • 7Cheng Z,Perillo M,Heinzelman W B.General network lifetime and cost models for evaluating sensor network deployment strategies[J].IEEE Trans.on Mobile Computing,2008,7(4):484-497.
  • 8Hedetniemi S,Liestman A.A survey of gossiping and broadcasting in communication networks[J].Networks,1998,18(4):319-349.
  • 9Haas Z J,Halpern J Y,Li J L.Gossip-based Ad hoc Routing[A].proc.of the IEEE INFOCOM[C].New York:IEEE Communications Society,2002.1707-1716.
  • 10Heinzelman W,Chandrakasan A,Balakrishnan H.Energy-efficient communication protocol for wireless microsensor networks[A].Proc.of the 33rd Annual Hawaii International Conference on Systems Science[C].Washington DC,USA:IEEE Computer Society,2000.3005-3014.

共引文献92

同被引文献91

  • 1杨国宁,冯秀芳,樊刘娟.一种基于最优融合集的多传感器数据融合算法[J].软件学报,2012,23(zkl):134-140.
  • 2Yick J, Mukherjee B, Ghosal D. Wireless sensor network survey. Computer Networks, 2008, 52(12):2292-2330.
  • 3Wu X Y, Cassandras C G. A maximum time optimal control approach to routing in sensor networks. Proceedings of the 44th IEEE Conference on Decision and Control, Seville, Spain, 2005: 1137-1142.
  • 4Hu X M, Zhang J, Yu Y, et d. Hybrid genetic algorithm using a h-rward encoding scheme for lifetime maximization of wireless sensor networks. IEEE Transactions on Evolutionary Computation, 2010. 14(5): 766-781.
  • 5Shu L, Zhang Y, Zhou Z, et al. Transmitting and gathering streaming data in wireless multimedia sensor networks within expected network lifetime. Mobile Networks and Applications, 2008, 13 ( 3 ) :306-322.
  • 6Rao J, Biswas S. Data harvesting in sensor networks using mobile sinks. IEEE Wireless Communications, 2008,15(6): 63-70.
  • 7Liu W, Lu K, Wang J, et al. Perfommnce analysis of wireless sensor networks with mobile sinks. IEEE Transactions on Vehicular Technoh)gy, 2012, 61 ( 6 ) :2777-2789.
  • 8Zhao M, Yang Y. Optimization-based distributed algorithms for mobile data gathering in wireless sensor networks. IEEE Transactions on Mobile Computing, 2012, 11 (10):1464-1477.
  • 9Gatzianas M, Georgiadis L. A distributed algorithm for maximum lifetime routing in sensor networks with mobile sink. IEEE Transactions on Wireless Communications, 2008, 7 (3):984-994.
  • 10Luo J, Hubaux J P. Joint sink mobility and routing to maximize the lifetime of wireless sensor network- the case of constrained mobility. IEEE/ACM Transactions on Networking, 2010, 18(3 ):871-884.

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