A Novel Technique to Control Congestion in MANET using Knowledge Base Learning

Abstract

MANET is mobile ad-hoc network in which mobile nodes can create the route from source to destination when they required. The path establishment from source to destination in mobile ad-hoc network is done on the basis of routing protocols. AODV is on-demand reactive routing protocol. In AODV routing protocol, during data transfer from source to destination a number of problem arises like congestion, packet loss and link failure. Due to congestion performance of the network degrades. Many algorithms had been proposed to overcome this problem. In this paper, we are proposing a novel technique for congestion control in MANET based on knowledge base learning.

Authors and Affiliations

Archana Kumari, Dr. Shaveta Rani, Dr. Paramjeet Singh

Keywords

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  • EP ID EP19197
  • DOI -
  • Views 215
  • Downloads 4

How To Cite

Archana Kumari, Dr. Shaveta Rani, Dr. Paramjeet Singh (2014). A Novel Technique to Control Congestion in MANET using Knowledge Base Learning. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 2(12), -. https://europub.co.uk/articles/-A-19197