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Congestion Control for IoT Using Channel Trust Based Approach

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Book cover Computer Information Systems and Industrial Management (CISIM 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11127))

Abstract

Nowadays in the area of Internet of Things (IoT), congestion control has become an essential research area because of people and devices are progressively get connected over the network. The idea behind congestion control mechanisms originated from the point of network bandwidth, node processing ability, server capacities, channel capacity, flow of the link, number and size of distinct flow and channel reliability. Here we have used the concept of different RED, AMID and COAP based congestion control mechanisms. We have measure two level of congestion control that is node level and channel trustability. In this paper we have presented literature review of some of existing congestion control mechanisms. A congestion control model has also been proposed, which uses the measure of node level congestion and channel-trust for decision making.

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Authors and Affiliations

  1. Calcutta Institute of Engineering and Management, Kolkata, India

    Moumita Poddar & Debdutta Pal

  2. University of Calcutta, Kolkata, India

    Rituparna Chaki

Authors
  1. Moumita Poddar
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  2. Rituparna Chaki
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  3. Debdutta Pal
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Corresponding author

Correspondence to Moumita Poddar .

Editor information

Editors and Affiliations

  1. Bialystok University of Technology, Bialystok, Poland

    Khalid Saeed

  2. Warsaw University of Technology, Warsaw, Poland

    Władysław Homenda

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Poddar, M., Chaki, R., Pal, D. (2018). Congestion Control for IoT Using Channel Trust Based Approach. In: Saeed, K., Homenda, W. (eds) Computer Information Systems and Industrial Management. CISIM 2018. Lecture Notes in Computer Science(), vol 11127. Springer, Cham. https://doi.org/10.1007/978-3-319-99954-8_33

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  • DOI: https://doi.org/10.1007/978-3-319-99954-8_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-99953-1

  • Online ISBN: 978-3-319-99954-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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