Data Gathering Optimization Using ACO and Genetic Algorithm in WSN

The Wireless Sensor Network (WSN) is a series of sensor nodes that detect, process and transmit information about any sensing area. In order to increase network lifetimes during data processing, various energy-efficient protocols are of great importance. The parameter that is important in a sensor network for protocols is its knowledge of energy. The distance of nodes from the base station and inter-nodal differences in the network are the reasons that influence unequal energy dissipation between the nodes. The planned protocol should therefore be energy efficient and stable to deal with. Elegant solutions to the problem are given by PEGASIS, which creates a chain using a greedy algorithm. In this article, we first use the greedy chain to introduce PEGASIS and then use the Genetic Algorithm to create the data routing chain, which uses its crossover and mutation operators and finds an optimised data collection routing route. For the same amount of nodes, the Genetic Algorithm increases the network lifespan. Extensive simulations are performed and on the basis of energy consumption and number of rounds, the effects of PEGASIS and GA are compared with each other.