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Toward Social Internet of Things (SIoT): Enabling Technologies, Architectures and Applications pp 31–49Cite as

MIPv6 in Crowdsensing Applications for SIoT Environments

Part of the Studies in Computational Intelligence book series (SCI,volume 846)

Abstract

Crowdsensing can be an enabler of the Social Internet of Things (SIoT), among a plethora of other systems, elements, infrastructure, and applications. Although in the short term crowdsensing can be supported within the traditional wireless cellular infrastructure, in the longer term, it will be an important component of the evolving Smart City paradigm. Given the expected increase of urban populations in the next 35 years, this application not only will assist in the process of “greening the environment” but also make city living more livable. Clearly, mobility is at the core of crowdsensing in particular, and SIoT in general. While several mobility management techniques have emerged, an extensive body of applicable research has been developed in the past twenty years, in the form of the Mobile IPv6 (MIPv6) and related protocols. As of press time over seventy RFCs had been published by the IETF on MIPv6 and related MIPv6 mobility protocols; yet, MIPv6 has received relatively little attention up to now in the IoT. Broad deployment of SIoT will benefit from MIPv6 technologies. This chapter describes key MIPv6 features and its propitious applicability to crowdsensing and SIoT, particularly given 3rd Generation Partnership Project (3GPP) recent adoption of it for some 4G/5G scenarios.

Keywords

  • Crowdsensing
  • Mobile crowdsensing
  • Social Internet of Things (SIoT)
  • Mobile IPv6 (MIPv6)
  • Mobility
  • Localization
  • Location based services (LBS)
  • Wireless
  • Multimedia encoding
  • 3GPP

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Acknowledgements

The authors wish to thank Wen Hseih, Kazem Sohraby and Chonggang Wang for inputs provided.

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Authors and Affiliations

  1. DVI Communications Inc., New York, NY, USA

    Daniel Minoli & Benedict Occhiogrosso

  2. Department of Computer Science, San Diego State University, San Diego, CA, USA

    Wei Wang

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  1. Daniel Minoli
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  2. Wei Wang
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Correspondence to Daniel Minoli .

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Editors and Affiliations

  1. Information Technology Department, Faculty of Computers and Artificial Intelligence, Cairo University, Giza, Egypt

    Prof. Aboul Ella Hassanien

  2. Department of Computer Science and Engineering, Faculty of Engineering, Manipal University Jaipur, Jaipur, Rajasthan, India

    Prof. Roheet Bhatnagar

  3. Information Technology Department, Faculty of Computers and Information, Cairo University, Giza, Egypt

    Dr. Nour Eldeen M. Khalifa

  4. Information Technology Department, Faculty of Computers and Information, Cairo University, Giza, Egypt

    Dr. Mohamed Hamed N. Taha

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Minoli, D., Wang, W., Occhiogrosso, B. (2020). MIPv6 in Crowdsensing Applications for SIoT Environments. In: Hassanien, A., Bhatnagar, R., Khalifa, N., Taha, M. (eds) Toward Social Internet of Things (SIoT): Enabling Technologies, Architectures and Applications. Studies in Computational Intelligence, vol 846. Springer, Cham. https://doi.org/10.1007/978-3-030-24513-9_3

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