Data reduction in MANETs using forward feature construction technique

With limited resource of nodes in Manets, achieving efficiency of a resilient and a secured network is always a challenge. Implementing any algorithm to enhance performance in such a node may result in lowering the lifetime of the network and affects the efficiency of the nodes adversely. Data regression on an incoming data in a node makes the Algorithm more efficient with respect to time and space thereby improving the performance. Apart from that the Algorithm also removes the noise factor from the data before it undergoes any process. The paper proposes the idea of preprocessing the incoming data into a node in a Manet using Sequential Feature Analysis as a Data regression Technique.