Empirical Analysis on Energy Efficient and Secured Data Transmission in Wireless Networks

Abstract

Wireless Sensor Networks (WSNs) comprised number of sensor nodes to sense and to transmit the data packets to the base station. The sensor nodes are battery-powered with limited energy capabilities. Routing in WSN is a significant component of communication network. Energy is considered as an important factor for performing efficient data transmission in WSN. Machine learning algorithms are employed to perform energy-efficient data transmission. Different optimization methods are used to perform energy-efficient data transmission in WSN. The optimization method is to minimize the energy consumption and to increase the network lifetime during data transmission in WSN. In optimization process, energy-efficient sensor nodes are selected for performing data transmission. With selected energy-efficient sensor nodes, the network lifetime gets improved in WSN. But, the energy efficiency remained key problem in WSN. Consequently, an artificial intelligence with optimization methods is introduced for energy-efficient data transmission in WSN to increase the network lifetime with lesser energy consumption.