Wireless Networks

, Volume 20, Issue 8, pp 2201–2217 | Cite as

Future Internet of Things: open issues and challenges

  • Chun-Wei Tsai
  • Chin-Feng Lai
  • Athanasios V. Vasilakos


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.


Future Internet of Things Data mining Cloud computing 



The authors would like to thank the editors and anonymous reviewers for their valuable comments and suggestions on the paper that greatly improve the quality of the paper. This work was supported in part by the Ministry of Science and Technology of Taiwan, R.O.C., under Contracts NSC102-2221-E-041-006, NSC102-2219-E-194-002, NSC102-2219-E-027-002, NSC101-2628-E-194-003-MY3, and NSC101-2221-E-197-008-MY3.


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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  • Chun-Wei Tsai
    • 1
  • Chin-Feng Lai
    • 2
  • Athanasios V. Vasilakos
    • 3
  1. 1.Department of Applied Informatics and MultimediaChia Nan University of Pharmacy and ScienceTainanTaiwan, ROC
  2. 2.Institute of Computer Science and Information EngineeringNational Chung Cheng UniversityChia-YiTaiwan, ROC
  3. 3.Department of Computer ScienceKuwait UniversityKuwaitKuwait

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