Chia Nan University of Pharmacy & Science Institutional Repository:Item 310902800/28583
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 18076/20274 (89%)
Visitors : 4865982      Online Users : 1060
RC Version 7.0 © 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
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://ir.cnu.edu.tw/handle/310902800/28583


    Title: Future Internet of Things: open issues and challenges
    Authors: Tsai, Chun-Wei
    Lai, Chin-Feng
    Vasilakos, Athanasios V.
    Contributors: 資訊多媒體應用系
    Keywords: Future Internet of Things
    Data mining
    Cloud computing
    Date: 2014-11
    Issue Date: 2015-05-06 21:21:30 (UTC+8)
    Publisher: Springer
    Abstract: Internet of Things (IoT) and its relevant technologies have been attracting the attention of researchers from academia, industry, and government in recent years. However, since the requirements of the IoT are quite different from what the Internet today can offer, several innovative techniques have been gradually developed and incorporated into IoT, which is referred to as the Future Internet of Things (FIoT). Among them, how to extract "data'' and transfer them into "knowledge'' from sensing layer to application layer has become a vital issue. This paper begins with an overview of IoT and FIoT, followed by discussions on how to apply data mining and computational intelligence to FIoT. An intelligent data management framework inspired by swarm optimization will then given. Finally, open issues and future trends of this field will be addressed.
    Relation: Wireless Networks, v.20 n.8, pp.2201-2217
    Appears in Collections:[Dept. of Multimedia and Game Development] Periodical Articles

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML2327View/Open


    All items in CNU IR are protected by copyright, with all rights reserved.


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