Privacy and Energy Preserving Parallel Machine Intelligence Based Wireless Sensor Network with Path Relocation

In WSNs (Wireless Sensor Network), how to conserve the limited power resources of sensors to extend the network lifetime of the network as long as possible while performing the sensing and sensed data reporting tasks, is the most critical issue in the network design. In many applications, the node closer to the Source and destination are overburdened with huge traffic load as the data from the entire region are forwarded through them to reach to the sink. In this project, the path relocation concept is used to reduce the delay and also to reduce the data loss in the network. By path relocation we can form the larger network. By using the Parallel Machine intelligence the actor nodes are created and it is used for the path selection during the process of communication. To increase the security in the network Modified RSA Algorithm is used. This algorithm is used to increase the security in the packet transfer during the process of communication in the network. As the result, it shows that the proposed method performs well when compared with the existing method in terms of security, loss and the delay factor. The performance analysis is done with the graphical representation