DYMO Routing Protocol in Manets based on Random Forest Classifier Machine Learning Technique

Abstract

Mobile Ad-hoc Network is a structure less freestanding ad-hoc network through which nodes converse with one another via unattached links without requiring any base station or access point. Infrastructure less, decentralized control, dynamic topology are few MANETs properties. Due to free movement of nodes, topology changes which leads to route failure and the performance of the network decreases which becomes a very challenging task in MANET. So best routing protocol is needed for route discovery between mobile nodes. The best routing path for sending data in MANETs can be achieved via Random Forest Classifier machine learning technique. This paper reviews the working of DYMO routing protocol. Further we presented Random Forest classifier machine learning technique.