Title :
Routing in telecommunication network with controlled ant population
Author :
Akon, Mohammad Mursalin ; Goswami, Dhrubajyoti ; Jyoti, Shaila Afroz
Author_Institution :
Dept. of Comput. Sci., Concordia Univ., Montreal, Que., Canada
Abstract :
Swarm intelligence based algorithms for routing in telecommunication networks have gained considerable amount of attention in recent years. Swarm intelligence, demonstrated by natural biological swarms, exhibits numerous powerful features that are desirable in communication systems. Mobile agents having swarm intelligence similar to real life ants have been employed to achieve a general, flexible and modular solution for routing in communication networks. We propose a novel scheme to control a population of ant-like mobile agents that can ultimately result in better load balancing and better performance within the network.
Keywords :
artificial intelligence; mobile agents; telecommunication computing; telecommunication network routing; controlled ant population; heterogeneous network components; load balancing; mobile agents; swarm intelligence; telecommunication network routing; Communication system control; Competitive intelligence; Computer science; Intelligent agent; Intelligent networks; Mobile agents; Mobile communication; Particle swarm optimization; Routing; Telecommunication control;
Conference_Titel :
Consumer Communications and Networking Conference, 2004. CCNC 2004. First IEEE
Conference_Location :
Las Vegas, NV, USA
Print_ISBN :
0-7803-8145-9
DOI :
10.1109/CCNC.2004.1286949
