An Energy Aware Routing to Optimize Route Selection in Cluster Based Wireless Sensor IoT Network EACW

A Wireless Sensor Network WSN is an autonomous, self organizing, and self configuring network with the capability of speedy deployment anywhere. Internet of Things IoT nodes are use cloud storage to collect information from sensors and transfer it to other IoT nodes or networks via cloud services. Energy efficient communication is likely one of the main conversation factors in WSN, so efficient routing is critical to make use of full power consumption and enhance the network performance. This research proposes an Energy Aware Cluster based Wireless Sensor EACW routing protocol that optimizes route selection by clustering of nodes in a Wireless Sensor IoT network. However, one of the biggest problems to be handled is the energy wastage in transport. Limited energy is one of the prime concerns in WSN IoT and efficient routing is the primary focus to improve energy utilization, which increases the network performance. LEACH is an energy based protocol that works on a cluster based mechanism to make use of the energy efficiently. In this research, we compare the performance of the LEACH protocol with that of the reactive on demand protocol in order to make the most of the networks energy constraints. The proposed scheme shows that nodes have at most imprecise state information, mainly under strong link establishment. EACW routing selects optimizes routes higher energy base route resolution , generates clusters, and has power measurement of each cluster member and cluster head. LEACH chooses that specific node for data transmission so that work raises the reliability of communication. The efficiency of the proposed EACW protocol is compared with CBRW and the performance matrices like live nodes, throughput, overhead and CH and CB information. Apurva Anand | Dr. Sadhna K. Mishra "An Energy Aware Routing to Optimize Route Selection in Cluster Based Wireless Sensor-IoT Network (EACW)" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-7 , December 2022, URL: https://www.ijtsrd.com/papers/ijtsrd52292.pdf Paper URL: https://www.ijtsrd.com/computer-science/computer-network/52292/an-energy-aware-routing-to-optimize-route-selection-in-cluster-based-wireless-sensoriot-network-eacw/apurva-anand