Abstract
The real-time applications of wireless sensor networks (WSNs) have potential design limitations such as energy and other quality-of-services (QoS) constraints in the context of Internet of things (IoT). This work basically formulates two different retransmission strategies for optimized cross-layer design and integrates the framework with a swarm intelligence technique-assisted bacteria foraging optimization for efficient CH selection IoT. The proposed work formulates analytical modeling to realize the formulated concept and simulates the computational design in a numerical computing tool. Finally, an extensive simulation shows the effectiveness of the formulated system in terms of delay, throughput, remaining energy and packet delivery ratio.
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Shreyas, J., Reddy, C.S., Udayaprasad, P.K., Chouhan, D., Dilip Kumar, S.M. (2021). Bacteria Foraging Optimization-Based Geographical Routing Scheme in IoT. In: Gao, XZ., Kumar, R., Srivastava, S., Soni, B.P. (eds) Applications of Artificial Intelligence in Engineering. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-33-4604-8_32
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DOI: https://doi.org/10.1007/978-981-33-4604-8_32
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