efficient routing in DTN using ONEsim using Machine learning techniques

project requirements are as follows 1. there is ieee paper which should be executed and modified further for better efficiency i have attached that ieee paper below 2. the code should be executed in the networking simulator called ONESIm, it is completely based on JAVA , its is best simulator for delay tolerant networks , it produces reports i,e no of packets delivered lost , efficiency etc and produces simulations based on the code , this simulator is based on routing protocols like epidemic , spray n wait ...so what we are doing is writing better code to give better efficiency then inbuilt codes present , simulator is very easy if one knows java perfectly and little machine learning concepts links for installing and understanding the simulator : [login to view URL] [login to view URL] [login to view URL] 3. in the ieee paper they have used decision tree and neural network , code to be implemented in SVM as modification or any other modification to the paper ... [login to view URL] [login to view URL] [login to view URL]