Open AccessCooperative Problem Solving in Telecommunication Network
Author(s) -
S. Rakesh,
Bharat Choudhary,
Rachna Sandhu
Publication year - 2013
Publication title -
international journal of management and information technology
Language(s) - English
Resource type - Journals
ISSN - 2278-5612
DOI - 10.24297/ijmit.v4i3.4548
Subject(s) - computer science , simplicity , telecommunications network , swarm intelligence , swarm behaviour , distributed computing , swarm robotics , ant colony , communications system , telecommunications , computer network , artificial intelligence , ant colony optimization algorithms , machine learning , particle swarm optimization , philosophy , epistemology
Swarm intelligence, as demonstrated by natural biological swarms, has numerous powerful properties desirable in many engineering systems, such as telecommunication. Communication network management is becoming increasingly difficult due to the increasing size, rapidly changing topology, and complexity of communication networks. This paper describes how biologically-inspired agents can be used to solve control problems in telecommunications. These agents, inspired by the foraging behaviour of ants, exhibit the desirable characteristics of simplicity of action and interaction. The colle ction of agents, or swarm system, deals only with local knowledge and exhibits a form of distributed control with agent communication effected through the environment. In this paper we explore the application of ant-like agents to the problem of routing in telecommunication networks.