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An Energy-Efficient Cluster Routing Protocol Based on Improved Butterfly Optimization Algorithm
B.R. Sathishkumar
Wireless Sensor Networks (WSN) encounter major operational difficulties, particularly concerning problems with data collection and energy exhaustion. These factors considerably undermine the reliability of WSNs. This approach proposes a clustered routing technique based on the Improved Butterfly Optimization Algorithm (IBOA) to address these issues. The primary goal of implementing this approach is to reduce resource imbalances among sensing networks and improve overall WSN longevity. WSN based on IBOA consume lesser energy, and sensor nodes have more energy for operations. Further, the transmission goal function for WSNs additionally establishes and validates energy and data transmission balance models. Following the use of IBOA, WSN nodes are used for locating public node positional information, which is applied to improve the protocol’s routing performances and target node location discriminations. As a result, this study investigates the effects of IBOA on the life cycles and energy consumption of Wireless Sensor Networks (WSN). Furthermore, a low-power routing technique based on location and direction has been developed to improve the features and routing efficiency of WSN. This method ensures precise delivery of messages to intended nodes, significantly boosting data packet transmission rates while conserving approximately 0.21% more energy compared to existing approaches.
Keywords: Energy-efficient clustering routing protocol, improved butterfly optimization algorithm, hybrid energy efficient distributed clustering, transmission rate, energy consumption, wireless sensor networks