Paper Info
Title
Clustering in mobile ad hoc networks with differential evolution
Abstract
This paper presents a new, differential-evolution based method for solving the problem of optimal selection of cluster-heads and cluster-members in mobile ad hoc networks. A novel encoding scheme is used to represent nodes in the network graph, and randomly-generated networks of different sizes are solved. The present method handles problems of much larger sizes than do the best-known methods in the literature. Empirical results show the superiority of this method over state-of-the-art approaches on two counts: quality of the solution and time to find the solution.
Year
DOI
Venue
2011
10.1109/CEC.2011.5949890
IEEE Congress on Evolutionary Computation
Keywords
Field
DocType
evolutionary computation,mobile ad hoc networks,cluster-heads,cluster-members,differential evolution,mobile ad hoc networks
Mobile computing,Mobile ad hoc network,Computer science,Ad hoc wireless distribution service,Theoretical computer science,Differential evolution,Optimized Link State Routing Protocol,Wireless ad hoc network,Cluster analysis,Genetic algorithm
Conference
ISSN
ISBN
Citations 
Pending
978-1-4244-7834-7
7
PageRank 
References 
Authors
0.55
8
3
Name
Order
Citations
PageRank
Uday K. Chakraborty187344.61
Swagatam Das26026276.66
Travis E. Abbott3605.25