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Utilizing ICN Caching for IoT Big Data Management in WSN-Based Vehicular Networks

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IoT and WSN based Smart Cities: A Machine Learning Perspective

Part of the book series: EAI/Springer Innovations in Communication and Computing ((EAISICC))

Abstract

In recent times, the advancements in IoT technology have benefited various application areas. By enabling IoT in automobile communication, vehicles are now expected to support various information and entertainment data transmission. Nevertheless, due to massive data produced by different WSN- and IoT-based multimedia and security-related applications, the management of such huge traffic by vehicular network is a challenge. This chapter utilizes Information-Centric Networking (ICN) to manage each request processing in vehicular environment. Further, to handle large data traffic during request response transmission, caching in ICN is preferred, which will improve the whole network performance by supporting fast delivery of requested content.

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Authors and Affiliations

  1. Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, India

    Divya Gupta & Shalli Rani

  2. Product Specialist, JMA Wireless, Liverpool, NY, USA

    Syed Hassan Ahmed Shah

Authors
  1. Divya Gupta
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  2. Shalli Rani
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  3. Syed Hassan Ahmed Shah
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Editors and Affiliations

  1. Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, India

    Shalli Rani

  2. Intel Corporation, Folsom, CA, USA

    Vyasa Sai

  3. Department of ECE, KPR Institute of Engineering and Technology, Coimbatore, India

    R. Maheswar

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Gupta, D., Rani, S., Shah, S.H.A. (2022). Utilizing ICN Caching for IoT Big Data Management in WSN-Based Vehicular Networks. In: Rani, S., Sai, V., Maheswar, R. (eds) IoT and WSN based Smart Cities: A Machine Learning Perspective. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-84182-9_14

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  • DOI: https://doi.org/10.1007/978-3-030-84182-9_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-84181-2

  • Online ISBN: 978-3-030-84182-9

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