Rank Based Adaptive Algorithm for Route Generation in Multi Source Energy Harvesting Wireless Sensor Network

WSNs are suitable for a variety of technical applications, including monitoring, control, and surveillance of electrical plants, to name a few. Sensors will connect, conspire, contribution, and onward data without the need for a central controller in a multi-hop method. The route optimization technique is used to address the long networking problem and give the quickest path between communication nodes in order to obtain essential data. Short distances are generated as a result of the optimization, which decreases the requirement for route floods. As a result, the shortest path requirement is undesirable for WSN, as it may result in many nodes losing power and high signaling and processing expenses owing to network rebuilding. The rank is completely based on capacity of each node and energy flow route of each node. The architecture of a multi-hop wireless sensor network is viewed as a distributed computer infrastructure in this study, and a route setting method based on it is offered.