New strategy of probabilistic Flooding with Fuzzy & Rough Sets techniques

As MANET is an infrastructure less, problems related to reduce Flooding by Propagating Neighborhood Information Algorithm (PNIA) is instant path transformation with reverence to transform in topology and blocking in the network. In this paper we have explained on PNIA with Grid Fisheye State Routing Protocol for MANET and implemented with various metrics in NS3 Simulator. Also the proposed work is interpreted in Fuzzy-Rough Set Theory. The new sets of laws are formulated with the Fuzzy and Rough set technique which have eradicated some unrelated attributes for finding the most excellent routing to decrease flooding by using ID3 Entropy Algorithm. The set of laws were evaluated in Grid Fisheye-State Routing (GFSR) protocol in the Network Simulator-3 based on certain parameters such as Maximum Energy Consumed, Average Energy Consumed, Overall Residual Energy and Average Residual Energy.