Abstract: Mobile Adhoc Network (MANET) is one of the kinds of Wireless networks. The general nature of MANET comprises of non- fixed infrastructure, dynamic nodes, each node act as a router, it is an autonomous user which communicate through wireless links. Due to random movements, the network topology frequently changes, to find the route between source and destination nodes, we use a techniques namely Routing protocol. There are three types of routing protocols in MANET like proactive, reactive and hybrid. In this paper, we would like to improve the performance of one type of proactive routing protocol called Optimized Link State Protocol through Machine Learning (ML) techniques.

Keywords: MANET, OLSR, Machine Learning (ML)

PDF | DOI: 10.17148/IJARCCE.2022.115121

Open chat
Chat with IJARCCE