By Topic

Scalable distributed discovery of resource paths in telecommunication networks using cooperative ant-like agents

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)

Future user controlled development of telecommunication services combined with powerful terminal equipment results in many heterogenous services running in a peer-to-peer execution environment. Locating a desired service in such an environment is challenging. We present a swarm based optimization algorithm which is capable of finding paths of resources in a complex network environment. The algorithm is fully distributed and may be implemented using simple ant-like mobile agents. On the contrary to existing localization mechanisms for peer-to-peer systems the algorithm considers all accessed resources between (and including) the client side and server side when a resource path is evaluated. Scalability is achieved by making agents cooperate during search when they have overlapping search profiles. Results from simulations are promising. The expected cooperative behavior is shown to be present, i.e. a set of near optimal resource paths conforming to a set of different but overlapping search profiles may be found with improved performance.

Published in:

Evolutionary Computation, 2003. CEC '03. The 2003 Congress on  (Volume:2 )

Date of Conference:

8-12 Dec. 2003