Enhancement of Energy Efficiency and Network Lifetime Using Modified Cluster Based Routing in Wireless Sensor Networks

WSN (Wireless Sensor Network) is gradually evolving into the most prevalent technology adopted in business and industrial sectors as a result of major developments in processing, communication, and low-power consumption of embedded computer devices. WSNs are quickly evolving into a cutting-edge technology that may be used in a variety of contexts. In wireless sensor networks, the most critical difficulty is often seen as being the use of energy. Researchers have investigated a variety of approaches in order to find a solution to this significant challenge posed by wireless sensor networks. One of these approaches, a routing strategy that is founded on clustering, has been shown to be useful in research studies and is currently regarded as one of the finest solutions to resolve the challenge of excessive energy expenditure. The intention of this study was to find a way to reduce the amount of energy that was used while maintaining acceptable levels of performance. At the beginning, the algorithm will separate the network into individual cells or clusters. The genetic algorithm was then brought into the picture, and it was utilised to determine the optimal number of nodes that should be present in a network. Following the placement of the nodes in the surroundings, the chromosomal length is adjusted to be equal to the quantity of nodes in order to facilitate the process of gradual convergence. As a consequence of this, the length of the chromosomes is reduced, and we are able to reach convergence on the optimal solution more quickly. The cluster heads found inside each chromosome, on the other extreme, are passed to the K-Means method as starting points in order to facilitate a rapid clustering process.