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基于梯度化邻居节点信息的传感器网络节点距离测量 被引量：2

Distance estimating algorithm based on gradient neighbors in wireless sensor networks
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摘要 针对无线传感器网络中节点间接距离测量精度问题,提出一种改进的节点距离测量算法DV-GNN,分析了算法的理论基础,给出了算法的实现步骤。DV-GNN算法以节点的梯度化邻居节点信息作为彼此识别的依据以提高距离测量的分辨率,将分辨率从节点有效通信半径提高到节点间距。与DV-hop算法相比,保留了其低成本、低开销的优点,却极大地提高了节点距离测量精度。理论分析及仿真结果表明,该算法在节点密集分布的无线传感器网络中具有很好的效果。 A modified distance-estimating algorithm DV-GNN was presented to improve the precision of indirect distance measuring in wireless sensor networks, theoretical basis was analyzed, and implementing process was given. With the help of gradient neighbors, the resolving power of distance estimating was increased from effective radio range to the distance interval between nodes. Compared with the algorithm DV-hop, under the preservation of the low cost and overhead, the measuring accuracy was improved largely. The analysis and simulation validated that the method was quite effective in wireless sensor networks with dense nodes.
作者 郑明才 张大方 赵晋琴 黎文伟
机构地区 湖南大学计算机与通信学院 湖南第一师范学院信息技术系 湖南大学软件学院
出处 《通信学报》 EI CSCD 北大核心 2008年第11期237-245,共9页 Journal on Communications
基金 国家自然科学基金资助项目(60673155 60703097) 湖南省教育厅科学研究项目(05C046 08C015)~~
关键词 无线传感器网络 最小跳数梯度场 梯度化邻居节点信息 距离测量 wireless sensor networks minimum hop gradient field gradient neighbor node＇s information distance estimating
分类号 TP393 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献10

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二级参考文献7

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共引文献16

同被引文献16

  • 1Cho S, Chandrakasan A.Energy-efficient protocols for low duty cycle wireless microsensor[C]//ICASSP 2001 ,Utah,USA, 2001.
  • 2Girod L,Estrin D.Robust range estimation using acous- tic and multimodal sensing[C]//Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Sys- tems (IROS' 01 ) .Maul, Hawaii, USA: IEEE Computer Soci- ety,2001 : 1312-1320.
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  • 10林金朝,陈晓冰,刘海波.基于平均跳距修正的无线传感器网络节点迭代定位算法[J].通信学报,2009,30(10):107-113. 被引量：49

引证文献2

二级引证文献11

通信学报
2008年 第11期

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