Mobile Agent Migration Strategy using Itinerary Graph and Neural Network

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/).

Download article (PDF)

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
SP  - 338
EP  - 341
SN  - 1951-6851
UR  - https://www.atlantis-press.com/article/6330
ID  - Chauhan2013/04
ER  -