政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/78973
English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 113313/144292 (79%)
Visitors : 50946736      Online Users : 1005
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
    •  Adv. Search
    Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer Goto mobile version


    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/78973


    Title: Energy-efficient sensor data acquisition based on periodic patterns
    Authors: Lin, G.-R.;Fan, Y.-C.Chen, Kehchang .;Chen, Arbee L .P
    陳良弼
    Contributors: 資訊科學系
    Keywords: Acquisitions;Data collection;Data query;Data-acquisition algorithm;Energy efficient;Periodic pattern;Reducing energy consumption;Sensor data;Sensor network applications;Sensor readings;Statistic model;Computer systems;Data processing;Energy conservation;Query processing;Radio communication;Sensor networks;Sensor nodes;Telecommunication equipment;Wireless sensor networks
    Date: 2009
    Issue Date: 2015-10-16 15:33:40 (UTC+8)
    Abstract: Wireless sensor networks have received considerable attention in recent years and played an important role in data collection applications. Sensor nodes usually have limited supply of energy. Therefore, a major consideration for developing sensor network applications is to conserve the energy for sensor nodes. In this paper, we propose a novel energy-efficient data acquisition algorithm based on the periodic patterns derived from past sensor readings. Our key observation is that sensor readings often exhibit periodic patterns, e.g., the daily cycle of temperature readings, and the patterns provide opportunities for reducing energy consumption for sensor data acquisition. We exploit the patterns and use the patterns to build a statistic model for predicting sensor readings. In our approach, sensor data acquisition is needed only when acquired readings are unpredictable. Therefore the energy for sensor data acquisition and the associated radio communications can be conserved. The experiments performed with real data validate the effectiveness and efficiency of our approach. © 2009 IEEE.
    Relation: Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS,487-494
    Data Type: conference
    DOI link: http://dx.doi.org/10.1109/ICPADS.2009.58
    DOI: 10.1109/ICPADS.2009.58
    Appears in Collections:[Department of Computer Science ] Proceedings

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML2857View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    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 ©   - Feedback