Abstract
The internet and the Internet of Things (IoT) have now become an integral aspect of everyone's lives. The IoT connects people, objects, and networks so that they may respond to any virtual or physical communication without fail. It is thought to be the next epoch in communication, as it has made devices more intelligent and capable. Identification of best nodes and path in connection establishment step is still a difficulty issue. A Grey Wolf Integrated with Jaya Optimization (GWJO) approach is used for selection of optimal node and based on link quality the best route selection is exhibited in this paper. Initial nodes are identified considering delay, distance and energy parameters. The proposed methodology is compared with various performance metrics over the conventional models.
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Kalyani, G., Krishna Jyothi, K., Srilakshmi, K., Chaudhari, S. (2024). A Grey Wolf Integrated with Jaya Optimization Based Route Selection in IoT Network. In: Gunjan, V.K., Kumar, A., Zurada, J.M., Singh, S.N. (eds) Computational Intelligence in Machine Learning. ICCIML 2022. Lecture Notes in Electrical Engineering, vol 1106. Springer, Singapore. https://doi.org/10.1007/978-981-99-7954-7_14
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DOI: https://doi.org/10.1007/978-981-99-7954-7_14
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