Abstract
The mobile ad hoc network (MANET) wireless system offers a few favorable circumstances, including minimal effort, basic system support, and helpful administration scope. In these systems, congestion can happen anywhere in the route while information getting forwarded from source node to destination node. These nodes can introduce long delays, which affect the overall efficiency of a system. Congestion leads to high data loss, long postponement, and time misuse of asset. To avoid it, effective congestion control mechanism should be applied that makes best use the accessible system assets and keeps the load underneath the limit. This paper proposed a mechanism to control the congestion as well as bestow better performance with respect to network parameters under dynamic behavior. Existing on-demand routing protocol is modified with local route establishment process and fuzzy-based reliable node detection mechanism is used to resolve the collision. The result taken in different scenarios by varying number of nodes concludes that the proposed approach is effective as compared to existing congestion control implemented in on-demand routing protocol.
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Pillai, B., Singhai, R. (2020). Congestion Control Using Fuzzy-Based Node Reliability and Rate Control. In: Das, K., Bansal, J., Deep, K., Nagar, A., Pathipooranam, P., Naidu, R. (eds) Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 1057. Springer, Singapore. https://doi.org/10.1007/978-981-15-0184-5_7
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DOI: https://doi.org/10.1007/978-981-15-0184-5_7
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