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基于最小代价场的WSN路由算法的研究与改进 被引量:2

An Improvement of Routing Algorithm Based Minimum Cost Field for WSN
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摘要 针对基于最小代价场的无线传感器网络路由算法及其典型改进算法的缺陷,提出了一新的改进算法。新算法引入了一种跨层设计的思想,通过对各层协议的配合使用,优化生成扩展最小跳数场,使得信息包沿最短路径向Sink节点传送的过程中所引起的能量消耗最小化,并同时均衡节点负载。理论分析和仿真实验表明,该算法能够显著延长网络的生命周期。 Consider the deficiencies of routing algorithm based Minimum Cost Field for WSN and its typical improvement, a new improvement is proposed. The new improvement of the algorithm introduces an idea of multi-layer design. With the use of protocols of all layers,an extended minimum hop field is created. Then the packet is sent by the shortest path. , and the energy consumption will be minimum. The load of nodes will be balanced in this algorithm. According to the analysis and the simulation results, this algorithm has obvious advantages in extending the lifetime of the network.
出处 《传感技术学报》 CAS CSCD 北大核心 2009年第9期1342-1346,共5页 Chinese Journal of Sensors and Actuators
基金 山东信息产业专项发展基金资助(2006R00047)
关键词 无线传感器网络 最小跳数 功率控制 节点调度 wireless sensor networks minimum hop power control node scheduling
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  • 1贺毅朝,王熙照,寇应展.一种具有混合编码的二进制差分演化算法[J].计算机研究与发展,2007,44(9):1476-1484. 被引量:50
  • 2Giuseppe Anastasi, Marco Conti, Mario Di Francesco,et al. Energy Conservation in Wireless Sensor Networks: A Survey[ JJ. Ad Hoe Networks ,2009,7 (3) :537-568.
  • 3Dasgupta Sudakshinal, Bhattacharya Indrajit, Bose Gaurav. Energy- Aware Cluster Based Node Scheduling Algorithm in Wireless Sensor Network for Preserving Maximum Network Life Time [ C 1// Proceedings of International Conference on Methods and Models in Computer Science ( ICM2CS09), Dec. 14-15,.
  • 4Delhi, India,2009 : 1-7. Wei Qu, Jinkuan Wang, Zhigang Liu. An Energy-Efficiency Coverage-Preserving Node Scheduling Scheme in Wireless Sensor Networks[ C]//IEEE 1st International Symposium on Computer Network and Multimedia Technology, ( CNMT 2009 ), Wuhan, China, November 18-20.2009 : 1-4.
  • 5Watts D J, Strogatz S H. Collective Dynamics of' Small-World' Networks[ J]. Nature, 1998,393 (6684) :440-442.
  • 6Gupta P, Kumar P R. The Capacity of Wireless Networks [ J ]. IEEE Transactions on Information Theory ,2000,46 ( 2 ) :388-404.
  • 7Li S, Xu C, Pan W, et al. Sensor Deployment Optimization for Detecting Maneuvering Targets [ A ]. 7th International Conference on Information Fusion [ C]//June 28 - July 1, Stockholm, Sweden, 2004 : 1629-1635.
  • 8Wang X, Wang S, Ma J. Dynamic Deployment Optimization in Wireless Sensor Networks [ J ]. Lecture Notes in Control and Information Sciences ,2006,344 : 182-187.
  • 9Ishibuchi H Murata T A. Multi-Objective Genetic Local Search Algorithm and its Application to Flowshop Scheduling[ J]. IEEE Trans. Syst. Man. Cy. B. 1998,28 (3) :392-402.
  • 10Chansu Yu, Kang G Shin, Ben Lee. Power-Stepped Protocol: Enhancing Spatial Utilization in a Clustered Mobile Ad Hoc Network[ J~. IEEE Journal on Selected Areas in communication, 2004,22 ( 7 ) : 1322 - 1334.

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