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- W3123131504 abstract "The existing Internet of Things (IoT) is obviously interconnected with billions and billions of devices meshed from side to side with numerous technologies for the delivery of smart personalized services and applications. To minimize the amount of energy an IoT network uses, an intelligent routing scheme should be critically considered. The proposed intelligent routing algorithm using a bio-inspired technique can prolong the IoT network lifetime extensively. The knowledge discovery technology drives the research in deciding the competent path for successful routing. It finds unidentified directions to improve the intelligent routing. However, the bio-inspired technique considers the intensive influence of human idea by discovering knowledge from it and continues to use distance (hop count) and energy to define its fitness function. This function in turn keeps more nodes alive, delivers more data packet and reserves more energy. Numerical results confirm the effectiveness of our proposed approach and outperform the existing routing methods in terms of residual energy performance, packet delivery ratio and network lifetime." @default.
- W3123131504 created "2021-02-01" @default.
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- W3123131504 date "2020-11-05" @default.
- W3123131504 modified "2023-09-26" @default.
- W3123131504 title "A Bio-Inspired Technique based on Knowledge Discovery for Routing in IoT Networks" @default.
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- W3123131504 doi "https://doi.org/10.1109/inmic50486.2020.9318105" @default.
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