淡江大學機構典藏:Item 987654321/120085
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 62830/95882 (66%)
造访人次 : 4047574      在线人数 : 616
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜寻范围 查询小技巧：
  • 您可在西文检索词汇前后加上"双引号"，以获取较精准的检索结果
  • 若欲以作者姓名搜寻，建议至进阶搜寻限定作者字段，可获得较完整数据
    •  进阶搜寻


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/120085


    题名: MCDP: Maximizing Cooperative Detection Probability for Barrier Coverage in Rechargeable Wireless Sensor Networks
    作者: Xu, Pei;Wu, Jianguo;Chang, Chih-Yung;Shang, Cuijuan;Roy, Diptendu Sinha
    关键词: Barrier coverage;solar-powered sensor;probability sensing model;wireless sensor networks
    日期: 2021-03
    上传时间: 2021-03-06 12:10:18 (UTC+8)
    摘要: Barrier coverage problem is an important issue in wireless sensor networks (WSNs). Many solutions have been proposed for constructing a defense barrier aiming to maximize the surveillance quality while prolonging the network lifetime. However, most of them assumed that the sensor nodes are battery powered without considering the rechargeable sensors. Though the energy conservation issue has been taken into account in most studies, the perpetual network lifetime is still impossible. In addition, most of existing works considered Boolean Sensing Model (BSM) which cannot reflect the physical features of sensing. This paper proposes a barrier coverage algorithm, called MCDP , which considers the rechargeable solar-powered sensors and applies the Probability Sensing Model (PSM) aiming to maximize the surveillance quality while the perpetual network lifetime of WSNs can be achieved. The MCDP algorithm first partitions the time line and monitoring region into several space time points and calculates the detection probability of each sensor to each space time point. Then the proposed MCDP algorithm schedules sensors staying in sensing state and recharging state in each time slot such that the weakest cooperative surveillance quality of the time-space point can be maximized. Experimental study shows that the proposed MCDP algorithm achieves better performance than existing work in terms of surveillance quality, stability of cooperative detection probability as well as fault tolerance.
    關聯: IEEE Sensors Journal 21(5), p.7080-7092
    DOI: 10.1109/JSEN.2020.3043456
    显示于类别:[資訊工程學系暨研究所] 期刊論文

    文件中的档案:

    档案 描述 大小格式浏览次数
    index.html0KbHTML104检视/开启
    MCDP Maximizing Cooperative Detection Probability for Barrier Coverage in Rechargeable Wireless Sensor Networks.pdf3197KbAdobe PDF6检视/开启

    在機構典藏中所有的数据项都受到原著作权保护.

    TAIR相关文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回馈