English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 49378/84106 (59%)
造訪人次 : 7376005      線上人數 : 94
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜尋範圍 查詢小技巧:
  • 您可在西文檢索詞彙前後加上"雙引號",以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋,建議至進階搜尋限定作者欄位,可獲得較完整資料
  • 進階搜尋
    請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/112187


    題名: BSQ: Barrier Coverage Mechanism for Guaranteeing Surveillance Quality in Wireless Sensor Networks
    作者: Shao, Xue-Mei;Chen, Lin-Gui;Zhao, Sheng-Hui;Liu, Jin-Jun;Chang, Chih-Yung
    關鍵詞: Wireless sensor networks;barrier coverage;Elfes Sensing Model;surveillance quality
    日期: 2017
    上傳時間: 2017-11-22 02:10:12 (UTC+8)
    出版者: IEEE
    摘要: Barrier coverage is known as one of the most important applications in wireless sensor networks. Most existing studies adopted the Boolean Sensing Model (BSM) which assumes that sensor can detect the object falling in the sensing range of that sensor. Another sensing model, called Elfes Sensing Model (ESM), which assumes that the probability of sensing is a probabilistic value depending on the distance between sensor and object. The ESM model is more practical than BSM model since it considers the interference and other environmental conditions. This paper considers the ESM and proposes a distributed mechanism, called BSQ (Barrier coverage for guaranteeing Surveillance Quality), for constructing a barrier coverage. The proposed BSQ aims to maximize the weakest sensing quality of barrier boundary while satisfying the minimum numbers of sensors. Experimental study reveals that the proposed BSQ outperforms existing related schemes in terms of surveillance quality and hardware cost.
    關聯: 2017 31st International Conference on Advanced Information Networking and Applications Workshops (WAINA)
    DOI: 10.1109/WAINA.2017.68
    顯示於類別:[資訊工程學系暨研究所] 會議論文

    文件中的檔案:

    檔案 描述 大小格式瀏覽次數
    index.html0KbHTML10檢視/開啟

    在機構典藏中所有的資料項目都受到原著作權保護.

    TAIR相關文章

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