Energy-Efficient Resource Allocation and Relay-Selection for Wireless Sensor Networks

Abstract

concern in wireless sensor networks (WSNs). This work uses Cluster-Based Energy-Efficient Techniques (CBEET) to optimize energy-efficient relay selection and resource allocation in WSNs. The suggested approach relies on clustering sensor nodes dynamically and electing a cluster head who is in charge of gathering and sending data to the base station from each cluster. The strategy considerably minimizes energy usage by optimizing multi-hop communication by selective relay selection and reducing direct long-range transmissions. To further increase the lifespan of the network, adaptive relay selection algorithms are also used to distribute energy loads among nodes. Comparing the CBEET method to conventional flat-network approaches, simulation findings show that it prolongs network sustainability, improves energy efficiency, and lowers communication overhead. The creation of scalable, energy-conscious WSN systems appropriate for long-term, resource-constrained IoT applications is aided by this work.