ICGST- AIML Journal

AIML Volume 06 - Issue (II) ICGST

GENETIC ALGORITHM FOR DISTANCE VECTOR ROUTING TECHNIQUE

M.Roberts Masillamani1, Avinankumar Vellore Suriyakumar2, Rajesh Ponnurangam2 and G.V.Uma3
1Dean, Computing Sciences, Computer Science Department, Hindustan College of Engineering affiliated to Anna University, P.O.Box No.01, Padur, Kelambakkam-605103 TamilNadu,India. Tel: +91-4114-27474262/27474395
2Final Year, Bachelor of Engineering in Computer Science and Engineering, Computer Science Department Hindustan College of Engineering affiliated to Anna University, P.O.Box No.01, Padur,, Kelambakkam-605103
TamilNadu,India. Tel: +91-4114-27474262/27474395
3Assistant Professor, Department of Computer Science and Engineering
College of Engineering, Guindy, Chennai, TamilNadu, India

Abstract:

 Routing packets from the source to the destination machine is the fundamental function of the network layer. Modern computer networks generally use dynamic routing algorithms rather than the static ones. Two dynamic algorithms in particular, Distance vector routing and Link state routing, are the most popular. In this paper, the optimization of distance vector routing technique using genetic algorithm, is being proposed. Distance vector routing technique causes congestion, as all the routing tables of the routers connected in the network needs to be refreshed after a stipulated time interval. The proposed technique minimizes the congestion by reducing the number of ECHO packets transmitted and uses genetic algorithm to optimize the path selection.

Keywords:Distance vector routing technique, Genetic algorithm, Congestion, ECHO packet, AODV

(Full Paper 300KB)

BibTex:

@ARTICLE{P1120625107,

 AUTHOR = {M.Roberts Masillamani and Avinankumar Vellore Suriyakumar and  Rajesh Ponnurangam and G.V.Uma},

TITLE = {GENETIC ALGORITHM FOR DISTANCE VECTOR ROUTING TECHNIQUE},

JOURNAL =  {The International Journal of Artificial Intelligence and Machine Learning},

YEAR = {2006},

VOLUME = {6},

ISSUE ={2},

PAGES={59--62}

}

(Full Paper 300KB)