计算机科学 ›› 2019, Vol. 46 ›› Issue (11A): 393-398.

• 网络与通信 • 上一篇    下一篇

基于节点近似圆的有向强栅栏构建算法

王方红1, 李涛2, 金英东2, 胡朕豪2   

  1. (浙江工业大学之江学院 浙江 绍兴312030)1;
    (浙江工业大学计算机科学与技术学院 杭州310023)2
  • 出版日期:2019-11-10 发布日期:2019-11-20
  • 作者简介:王方红(1981-),女,硕士生,实验师,主要研究方向为传感器网络,E-mail:390425074@qq.com。
  • 基金资助:
    本文受“十二五”国家科技支撑计划项目(2012BAD10B01)资助。

Directional Strong Barrier Constructing Scheme Based on Node Approximate Circle

WANG Fang-hong1, LI Tao2, JIN Ying-dong2, HU Zhen-hao2   

  1. (Zhijiang College,Zhejiang University of Technology,Shaoxing,Zhejiang 312030,China)1;
    (Department of Computer Science and Technology,Zhejiang University of Technology,Hangzhou 310023,China)2
  • Online:2019-11-10 Published:2019-11-20

摘要: 栅栏覆盖是有向传感器网络(DSN)覆盖控制的研究热点之一。为了在感知角度大于π时高效地构建栅栏,文中设计了有向节点的近似圆模型,提出了集中式栅栏构建HapC算法和分布式栅栏构建INSDBC算法。HapC算法把网络分成节点近似圆相连的子群,利用匈牙利算法选择最优节点连通这些子群,形成栅栏。为了进一步减少节点的数量,对基本栅栏的每个子群进行精简。INSDBC算法根据节点近似圆之间的几何关系,使每个节点具有最大的栅栏贡献,从左到右依次选择能耗最小的节点分布式构建栅栏。结果证明,这两种方法结合能够用较低能耗和较少节点构建有向强栅栏,对提升有向传感器网络的覆盖性能具有一定的理论与实际意义。

关键词: 近似圆, 能耗, 有向栅栏覆盖, 栅栏贡献

Abstract: Barrier coverage is one of the hot spots in directional wireless sensor network (DSN).In order to effectively form barrier when sensing angle is more than π,this paper designed the approximate circle model of directional nodes and proposed centralized heuristic barrier construction scheme based on approximate circle (HapC) and distributed improved barrier construction scheme based on next node sports (INSDBC) to construct directional strong barrier.In HapC,the whole network is divided into subgroup in which each approximate circle is connected,and the optimal mobile nodes are selected to connect these subgroups by Hungarian algorithm.To further decrease the number of barrier node,it reduces the staff node of sub-barrier.NSDBC maximizs the contribution of each nodes based on geometric relation of approximate circle.Moreover,it selects the node with minimum energy consumption to form barrier in turn from left to right.Simulation results show that this method can effectively constitute strong barrier coverage,and enhance the cove-rage performance of DSN.This research has a certain theoretical and practical significance for barrier coverage improvement in DSN.

Key words: Aapproximate circle, Barrier contribution, Directional barrier coverage, Energy consumption

中图分类号: 

  • TP391
[1]TAO D,T WU.A survey on barrier coverage problem in directional sensor networks[J].IEEE Sensors Journal,2015,15(2):876-885.
[2]范兴刚,刘涛,胡凤丹,等.一种延长目标覆盖网络寿命的群智能算法[J].计算机科学,2018,45(12):93-98.
[3]KUMAR S,LAI T H,ARORA A.Barrier coverage with wireless Sensors[C]∥Proc.of the 11th Annual International Conference on Mobile Computing and Networking.2005:284-298.
[4]罗卿,林亚平,王雷,等.传感器网络中基于数据融合的栅栏覆盖控制研究[J].电子与信息学报,2012,34(4):825-831.
[5]班冬松,温俊,蒋杰,等.移动无线传感器网络K-栅栏覆盖的构建算法[J].软件学报,2011,22(9):2089-2103.
[6]TIAN J,ZHANG W S,WANG G L,et al.2D k-barrier duty-cycle scheduling for intruder detection in wireless sensor networks[J].Computer Communications,2014,4(3):31-42.
[7]王超,范兴刚.一种高效强K—栅栏覆盖构建算法[J].传感技术学报,2015,28(2):227-233.
[8]MA H D,YANG M,LI D,et al.Minimum camera barrier cove-rage in wireless camera sensor networks[C]∥Proc.IEEE INFOCOM,Orlando,FL,USA,2012:217-225.
[9]TAO D,TANG S,ZHANG H,et al.Strong barrier coverage in directional sensor networks[C]∥Computer Communications,2012,35(8):895-905.
[10]ZHANG L,TANG J,ZHANG W.Strong barrier coverage with directional sensors[C]∥Proc.IEEE GlobeCom.Honolulu,HI,USA,2009:1-6.
[11]SSU K F,WANG W T,W F K,et al.K-barrier coverage with a directional sensing model[J].International Journal on Smart Sensing and Intelligent Systems,2009,2(1):75-93.
[12]CHENG C F,TSAI K T.distributed barrier coverage in wireless visual sensor networks with β-qom[J].IEEE Sensors Journal,2012,12(6):1726-1735.
[13]WANG Z B,LIAO J D,CAO Q,et al.Achieving k-barrier Co-verage in Hybrid Directional Sensor Networks[J].IEEE Tran-sactions on Mobile Computing,2014,13(7):1443-1455.
[14]CHEN J,WANG B,LIU W,et al.Rotating directional sensors to mend barrier gaps in a line-based deployed directional sensor network[J].IEEE Systems Journal,2017,11(2):1027-1038.
[15]WU Y,CARDEI M.Distributed algorithms for barrier coverage via sensor rotation in wireless sensor networks[J].Journal of Combinatorial Optimization,2018,36:230-251.
[16]任勇默,范兴刚.一种有向传感器网络栅栏覆盖增强算法[J].传感技术学报,2015,28(7):1051-1057.
[17]GUVENSAN A,YAVUZ G.Hybrid movement strategy in self-orienting directional sensor networks[J].Ad Hoc Networks,2013,11(3):1075-1090.
[18]王万良.人工智能及其应用(第三版)[M].北京:高等教育出版社,2016.
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