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Published in: Wireless Networks 8/2014

01-11-2014

Future Internet of Things: open issues and challenges

Authors: Chun-Wei Tsai, Chin-Feng Lai, Athanasios V. Vasilakos

Published in: Wireless Networks | Issue 8/2014

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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.

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Footnotes
4
The chromosome of GA, ant of ACO, particle or PSO are generally regarded as the candidate solution.
 
5
Single-solution-based search algorithm uses a single search direction while population-based search algorithm uses multiple search directions to find the solution at the same time.
 
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Metadata
Title
Future Internet of Things: open issues and challenges
Authors
Chun-Wei Tsai
Chin-Feng Lai
Athanasios V. Vasilakos
Publication date
01-11-2014
Publisher
Springer US
Published in
Wireless Networks / Issue 8/2014
Print ISSN: 1022-0038
Electronic ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-014-0731-0

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