An Optimal Data Communication System in Wireless Sensor Network Using Artificial Neural Network

Abstract

Wireless sensor networks (WSN) can be referred to as a group of spatially dispersed and dedicated sensors that are self-capable of collecting environmental information, processing it as per requirement, and forwarding it to a base station for different application. In this chapter, the authors focus on secure data transformation in wireless sensor node. The intrusion detection system using sensor node is complicated as sensors lifetime depends upon power consumption and for which the network's lifetime also get affected. Security as well as network lifetime can be enhanced by relocating the computational load of the operation from the sensor nodes to the base station. At base station by encrypting and compressing the data using cryptography and artificial neural network (ANN), the authors increase the security and increase the throughput of the network. On the server side it is decompressed and then decrypted.