Design and Implementation of Network Coverage Area in WSN Using Swarm Optimization Techniques

In this paper, the concept of wireless sensor network optimization methodologies is covered. A wireless sensor network consists of several sensor nodes, each of which collects data from the environment it is sensing and sends it to the base station. Wireless sensor networks use optimization techniques to lower overall energy consumption and deal with routing difficulties. A wireless sensor network (WSN) is made up of a number of small embedded devices called sensors and uses wireless ad hoc communication to exchange data. By carefully choosing their location within a physical medium and interacting with it, they may monitor environmental physical properties and transmit sensed data. Recent advancements in sensing, processing, and communication technology, as well as the need to continuously monitor physical occurrences, led to the development of wireless sensor networks (WSNs). To extend the life of networks and reduce energy use, several optimization strategies have been proposed. The article gives a general overview of the types of swarm intelligence (SI)-based algorithms that have been most successful in addressing energy-based lifespan optimization issues.