Proceedings of the Conference on Advances in Communication and Control Systems (CAC2S 2013)

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Mobile Agent Migration Strategy using Itinerary Graph and Neural Network

Authors
Nripesh Chauhan, Manjeet Singh
Corresponding Author
Nripesh Chauhan
Available Online April 2013.
Abstract

Mobile agents (MA) needs to migrate to several host to accomplish its task .Migration strategy is responsible for planning out an optimal migration path ,which ensures mobile agent to complete its task correctly and efficiently at the minimum cost .This paper describe the strategy adopted by a mobile agent to complete the task assigned by the user. In this paper we propose an idea in which MA makes use of Dependent Variable Hopfield Neural Network to select an optimal route for migrating from one place to another place.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the Conference on Advances in Communication and Control Systems (CAC2S 2013)
Series
Advances in Intelligent Systems Research
Publication Date
April 2013
ISBN
null
ISSN
1951-6851
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - Nripesh Chauhan
AU  - Manjeet Singh
PY  - 2013/04
DA  - 2013/04
TI  - Mobile Agent Migration Strategy using Itinerary Graph and Neural Network
BT  - Proceedings of the Conference on Advances in Communication and Control Systems (CAC2S 2013)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://www.atlantis-press.com/article/6375
ID  - Chauhan2013/04
ER  -