政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/135542
English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  全文笔数/总笔数 : 110658/141571 (78%)
造访人次 : 47330586      在线人数 : 541
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU 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
    政大機構典藏 > 資訊學院 > 資訊科學系 > 會議論文 >  Item 140.119/135542


    请使用永久网址来引用或连结此文件: https://nccur.lib.nccu.edu.tw/handle/140.119/135542


    题名: An Efficient Message Collecting and Dissemination Approach for Mobile Crowd Sensing and Computing
    作者: 蔡子傑
    Tsai, Tzu-Chieh
    Teng, Hao
    贡献者: 資科系
    关键词: Delay Tolerant Network;Mobile Crowd Sensing and Computing;Opportunistic Mobile Networks;Personal Interests;Trace Data
    日期: 2019-09
    上传时间: 2021-06-04 14:51:37 (UTC+8)
    摘要: Mobile Crowd Sensing and Computing (MCSC) is an emerging technology along with the popularity of mobile devices. We utilize the concept of Delay Tolerant Networks (DTNs) and edge/fog computing to support the message collection and dissemination for the MCSC. The biggest challenge here is to design an efficient routing method to deliver messages for both “upload” (data collection to edge nodes) and “download” (data dissemination to nodes that interest) paths. We assume that the mobile crowd nodes will like to exchange data in a DTN manner based on opportunistic transmission in order to save energy and data transmission cost. We design a probability-based algorithm to upload data carried by normal mobile nodes to the edge nodes. Then, we use cosine similarity to relay specific message of attributes to users who have high interest to receive the message. We simulate the algorithm with the National Chengchi University (NCCU) real trace data of campus students, and compare it with other traditional DTN routing algorithms. The performance evaluations show the improvement of message delivery ratio and decreasing latency and transmission overhead.
    關聯: The Ninth International Conference on Ambient Computing, Applications, Services and Technologies (AMBIENT 2019), IARIA, pp.8-13
    数据类型: conference
    显示于类别:[資訊科學系] 會議論文

    文件中的档案:

    档案 描述 大小格式浏览次数
    297.pdf514KbAdobe PDF2170检视/开启


    在政大典藏中所有的数据项都受到原著作权保护.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回馈