Congestion control for IoT using channel trust based approach

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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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Poddar, M., Chaki, R., & Pal, D. (2018). Congestion control for IoT using channel trust based approach. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11127 LNCS, pp. 392–404). Springer Verlag. https://doi.org/10.1007/978-3-319-99954-8_33

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