Abstract: Data from the physical world is connected to IoT-powered computational models through wireless sensor networks. Specialized transducers used in wireless sensor networks enable limited-energy Iot devices to sense their surroundings. One of the most important design considerations in WSNs is energy consumption due to the practical difficulty of replacing batteries in sensor networks.
The clustering method is essential for raising the energy effectiveness of a sensor network. The right cluster head choice can help with network load balancing, energy conservation, and increased durability. The cluster head selection process using the Cuckoo search algorithm and the data transmission process using multi hop AODV routing are the key themes of the study. By calculating network efficiency using an average of throughput and remaining energy, the final conclusions are obtained. Simulated findings show that the suggested strategy performs better than the current I-SEP method.
Keywords: AODV, Wireless Sensor Networks, Internet of Things, Clustering, Energy Efficiency, CSA
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DOI:
10.17148/IJARCCE.2023.12824
