高级搜索

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

一种分布式的1-栅栏覆盖构建算法

一种分布式的1-栅栏覆盖构建算法[J]. 电子与信息学报, 2016, 38(3): 720-727. doi: 10.11999/JEIT150664
引用本文: 一种分布式的1-栅栏覆盖构建算法[J]. 电子与信息学报, 2016, 38(3): 720-727. doi: 10.11999/JEIT150664
A Distributed Algorithm for Constructing 1-barrier Coverage[J]. Journal of Electronics & Information Technology, 2016, 38(3): 720-727. doi: 10.11999/JEIT150664
Citation: A Distributed Algorithm for Constructing 1-barrier Coverage[J]. Journal of Electronics & Information Technology, 2016, 38(3): 720-727. doi: 10.11999/JEIT150664

一种分布式的1-栅栏覆盖构建算法

doi: 10.11999/JEIT150664
基金项目: 

浙江省自然科学基金(LY14F020020, LQ12F02015),国家自然科学基金( 61379023, 61401397)

A Distributed Algorithm for Constructing 1-barrier Coverage

Funds: 

The Natural Science Foundation of Zhejiang Province (LY14F020020, LQ12F02015), The National Natural Science Foundation of China (61379023, 61401397)

  • 摘要: 在构建栅栏覆盖的过程中,需要考虑网络构建成本和生存时间这两个核心问题。对于前者主要考虑节点数和信息传输量,而对于后者则应避免网络因个别节点的死亡而陷入瘫痪。该文针对上述两个问题,提出一种基于1-栅栏覆盖的分布式栅栏覆盖算法(Distributed Barrier Coverage Algorithm, DBCA),算法通过聚类分簇和簇内路径选择这两个过程来实现覆盖。理论分析和仿真结果表明,该文所提出的算法能够有效减少网络部署的节点数以及传输的信息量。在部署节点达到700时,该算法比最优节点选择算法(Optimal Node Selection Algorithm, ONSA)和本地栅栏覆盖协议(Localized Barrier Coverage Protocol, LBCP)算法传输的信息量分别减少25%和41.6%,生存时间分别多44%和30%。
  • 杜晓玉, 孙力娟, 郭剑, 等. 异构无线传感器网络覆盖优化算法[J]. 电子与信息学报, 2014, 36(3): 696702. doi: 10.3724/ SP.J.1146.2013.00730.
    DU Xiaoyu, SUN Lijuan, GUO Jian, et al. Coverage optimization algorithm for heterogeneous WSNs[J]. Journal of Electronics Information Technology, 2014, 36(3): 696702. doi: 10.3724/SP.J.1146.2013.00730.
    LI Mo, LI Zhenjiang, and ATHANASIOS V. A survey on topology control in wireless sensor networks: taxonomy, comparative study, and open issues[J]. Proceedings of the IEEE, 2013, 25(10): 23672380. doi: 10.1109/JPROC. 2013.2257631.
    AHMED N, KANHERE S S, and JHA S. Probabilistic coverage in wireless sensor networks[C]. IEEE Conference on Local Computer Networks, Sydney, 2005: 672681. doi: 10.1109/LCN.2005.109.
    SANTOSH Kumar, LAI T H, and ANISH Arora. Barrier coverage with wireless sensors[J]. Wireless Networks, 2007, 13(6): 817-834.
    TAO Dan and WU Tinyu. A survey on barrier coverage problem in directional sensor networks[J]. IEEE Sensors Journal, 2015, 15(2): 876885. doi: 10.1109/JSEN.2014. 2310180.
    YANG Guanqun and QIAO D. Barrier information coverage with wireless sensors[C]. INFOCOM 2009, Rio de Janeiro, 2009: 918-926. doi: 10.1109/INFCOM.2009.5062002.
    LAI Y L and JIANG J R. Sink-connected barrier coverage optimization for wireless sensor networks[C]. The Seventh International Conference on Wireless and Mobile Communications, Wuhan, 2011: 198203.
    FAN Haosheng, LI Minming, SUN Xianwei, et al. Barrier coverage by sensors with adjustable ranges[J]. ACM Transactions on Sensor Networks, 2014, 11(1): 14(1)14(20).
    CHEN Ai, SANTOSH Kumar, and LAI T H. Local barrier coverage in wireless sensor networks[J]. IEEE Transactions on Mobile Computing, 2010, 9(4): 491-504. doi: 10.1109/ TMC.2009.147.
    LIU B, DOUSSE O, NAIN P, et al. Dynamic coverage of mobile sensor networks[J]. IEEE Transactions on Parallel and Distributed Systems, 2013, 24(2): 301311. doi: 10.1109/ TPDS.2012.141.
    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): 826831. doi: 10.3724/SP.J.1146.2011.00446.
    LUO Qing, LIN Yaping, WANG Lei, et al. Barrier coverage control based on data fusion for wireless sensor network[J]. Journal of Electronics Information Technology, 2012, 34(4): 826831. doi: 10.3724/SP.J.1146.2011.00446.
    HOU T C and LI V O K. Transmission range control in multihop packet radio networks[J]. IEEE Transactions on Communications, 1986, 34(1): 3844. doi: 10.1109/TCOM. 1986.1096436.
    ZOU Y and CHAKRABARTY K. Sensor deployment and target localization in distributed sensor networks[J]. ACM Transactions on Embedded Computing Systems, 2004, 3(1): 6191.
    LI J, CHEN J, and LAI T H. Energy-efficient intrusion detection with a barrier of probabilistic sensors[C]. INFOCOM 2012, Orlando, 2012: 118126. doi: 10.1109/ INFCOM.2012.6195479.
    JING Yuan, BAE Egil, and TAI Xuecheng. A study on continuous max-flow and min-cut approaches[C]. IEEE Conference on Computer Vision and Pattern Recognition, San Francisco, 2010: 22172224. doi: 10.1109/CVPR.2010. 5539903.
  • 加载中
计量
  • 文章访问数:  1449
  • HTML全文浏览量:  104
  • PDF下载量:  565
  • 被引次数: 0
出版历程
  • 收稿日期:  2015-06-02
  • 修回日期:  2015-12-04
  • 刊出日期:  2016-03-19

目录

    /

    返回文章
    返回