Abstract
The term “Internet of Things (IOT)” has been contested because devices only need to be independently reachable and accessed through the Internet, not even the whole Internet. In the IOT the wireless sensor network (WSN) part of it. IOT WSN is used to connect the different sensors. Numerous uses for wireless sensor networks are currently being researched. The sensor network usually operates on the batteries. Reducing energy consumption during data transmission and node communication will increase network lifetime. One of the challenging criteria in the IOT is maintaining the energy level for a longer duration. The energy level of the sensor networks is consumed mainly during Base Station (BS) communication, inter-node communication, and data sensing. The proposed approach is a multimodal approach, creates a meta-heuristic optimization strategy to lower the communication's energy-level consumption of the sensor networks. The suggested model will segment the WSN into various clusters. The proposed approach has the combination of the modified LEACH and Modified Cuckoo algorithm to reduce the energy consumption of the WSN-IOT sensor nodes during communication. The modified LEACH algorithm is used to choose the cluster's head (CH). In order to choose the best route from CH to BS, the Modified CUCKOO algorithm is employed. With an ideal number of clusters, balanced energy dissipation, and low-energy consumption, the proposed model can improve network performance.
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Rao, M.G., Pawar, S., Priyanka, H., Hemant Kumar Reddy, K., Vatsala, G.A. (2024). Lifetime Enhancement of the IOT WSN Using the Hybrid Optimization Technique. In: Shetty, N.R., Prasad, N.H., Nalini, N. (eds) Advances in Computing and Information. ERCICA 2023. Lecture Notes in Electrical Engineering, vol 1104. Springer, Singapore. https://doi.org/10.1007/978-981-99-7622-5_16
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