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Future Internet of Things: open issues and challenges

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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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Notes

  1. \(\hbox {FedEx}^\circledR\) Tracking, https://www.fedex.com/fedextrack/?action=track

  2. http://www.ibm.com/smarterplanet/us/en/

  3. http://www.libelium.com/

  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.

  6. http://www.sciencemag.org/site/special/data/

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Acknowledgments

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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  1. Department of Applied Informatics and Multimedia, Chia Nan University of Pharmacy and Science, Tainan, Taiwan, ROC

    Chun-Wei Tsai

  2. Institute of Computer Science and Information Engineering, National Chung Cheng University, Chia-Yi, Taiwan, ROC

    Chin-Feng Lai

  3. Department of Computer Science, Kuwait University, Kuwait, Kuwait

    Athanasios V. Vasilakos

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  1. Chun-Wei Tsai
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Tsai, CW., Lai, CF. & Vasilakos, A.V. Future Internet of Things: open issues and challenges. Wireless Netw 20, 2201–2217 (2014). https://doi.org/10.1007/s11276-014-0731-0

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