Different Types of Swarm Intelligence Algorithm for Routing

Swarm intelligence (SI) is emerged with collective intelligence of groups of simple agents. SI offers an alternative way of designing intelligent system, in which autonomy, emergence and distributed functioning replaces control, preprogramming and centralization systems. This approach emphasizes on...

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Bibliographic Details
Published in2009 International Conference on Advances in Recent Technologies in Communication and Computing pp. 604 - 609
Main Authors Sharvani, G.S., Cauvery, N.K., Rangaswamy, T.M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2009
Subjects
Ant Based Control algorithm
Ant Colony Based Routing Algorithm
Antnet algorithm
Centralized control
Communication networks
Communication system control
Control systems
Distributed control
Intelligent agent
Intelligent systems
Mobile
Particle swarm optimization
Robustness
Routing
Swarm Intelligence
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Summary:Swarm intelligence (SI) is emerged with collective intelligence of groups of simple agents. SI offers an alternative way of designing intelligent system, in which autonomy, emergence and distributed functioning replaces control, preprogramming and centralization systems. This approach emphasizes on distributed, flexibility, robustness and direct or indirect communication among relatively simple agents. A new class of algorithms, inspired by swarm intelligence, is currently being developed that can solve numerous problems of modern communications networks. These algorithms rely on the interaction of a multitude of simultaneously interacting agents. They are Ant Based Control algorithm, Antnet algorithm, Ant Colony Based Routing Algorithm, Mobile Ant Based Routing, Termite. They differ based on the applications used. A survey of such algorithms is presented here.
ISBN:9781424451043
1424451043
DOI:10.1109/ARTCom.2009.157