English  |  正體中文  |  简体中文  |  Items with full text/Total items : 57969/91503 (63%)
Visitors : 13693796      Online Users : 37
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU 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
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/118541


    Title: A Fuzzy Knowledge Based Fault Tolerance Algorithm in Wireless Sensor Networks
    Authors: Chang, Shih-Hao;Huang, Teh-Sheng
    Keywords: Wireless sensor networks;Fault tolerance;Fault tolerant systems;Knowledge based systems;Fault detection;Software
    Date: 2012-03-26
    Issue Date: 2020-04-11 12:10:27 (UTC+8)
    Publisher: IEEE
    Abstract: In this paper, we introduce a new knowledge based for fault detection and diagnosis using fuzzy logic approach and challenge approach in wireless Sensor Networks (WSNs). We develop a fault detection, isolation, and recovery algorithm based on the communication framework and show how this model works to diagnose fault nodes. We use a simple fuzzy knowledge based control approach to help diagnose faulty communication between sensor nodes which provide fault detection and isolation (FDI) to eliminate faulty communication behaviour nodes impact to senor networks. Moreover, our algorithm also concern erroneously behaves nodes tolerance can ensure that faulty nodes sharing incorrect data under certain quantities can be tolerate and eliminate in the network. Thus guarantee that data fusion in WSNs can gather reliable data from proper sinks only.
    DOI: 10.1109/WAINA.2012.48
    Appears in Collections:[Graduate Institute & Department of Computer Science and Information Engineering] Proceeding

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML41View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.


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