Abstract
Weighted Rough Set (WRS) model finds the candidate node set by finding the similarity relation among the 1-hop and 2-hop neighbors. Weighted Rough set model considers the object (node) importance also and this model gives better results compared with Fisheye State Routing (FSR) in Grid. Weighted Rough set theory is a mathematical tool to deal with vagueness, uncertainty and it also considers the importance of the objects (nodes). In this paper comparison is made with the results of three techniques such as Weighted Rough Set (ROUGH model) in Grid FSR protocol, flooding by Propagating Neighborhood Information Algorithm (FLOODING method) study and Probabilistic Broadcasting Algorithm (APBMAN method) It is found that WRS model has shown improved performance in several important parameters like Throughput, energy consumption, Packet Delivery Ratio, Delay, Overhead and Normalized Overhead with respect to Pause-time.