Title :
MALBACO - a new Multi-Agent Load Balanced Ant Colony Optimization algorithm for MANETs
Author :
Sinha, Ditipriya ; Chaki, Rituparna
Author_Institution :
Calcutta Inst. of Eng. & Mgmt, Kolkata, India
Abstract :
Mobile ad hoc networks do not have any fixed topology. Routing in such network is very challenging and difficult due to the mobility of the nodes. Ant colony optimization is an efficient optimization technique used to find the optimum shortest route in the adhoc network. This paper describes a new routing algorithm for MANETs using Ant Colony Optimization technique. Special attention has been given to the load balancing and congestion control in network. Simulation work is presently being undertaken to evaluate the performance of the model.
Keywords :
ad hoc networks; mobile radio; multi-agent systems; optimisation; telecommunication network routing; MALBACO; MANET; congestion control; load balancing; mobile ad hoc networks; multi-agent load balanced ant colony optimization algorithm; network routing; node mobility; optimum shortest route; routing algorithm; Ad hoc networks; Ant colony optimization; Clustering algorithms; Load management; Military communication; Mobile ad hoc networks; Network topology; Particle swarm optimization; Routing protocols; Wireless sensor networks;
Conference_Titel :
Nature & Biologically Inspired Computing, 2009. NaBIC 2009. World Congress on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4244-5053-4
DOI :
10.1109/NABIC.2009.5393501
