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ThinkMind // International Journal On Advances in Networks and Services, volume 4, numbers 1 and 2, 2011 // View article netser_v4_n12_2011_5


Reliability Estimation of Mobile Agent System in MANET with Dynamic Topological and Environmental Conditions

Authors:
Chandreyee Chowdhury
Sarmistha Neogy

Keywords: Mobile Ad hoc network; Monte-Carlo; Reliability; Mobility Model; Fault-tolerance;

Abstract:
A mobile agent is an agent with the ability to migrate from one host to another where it can resume its execution. Mobile agents can be used in wireless and mobile network applications in order to save bandwidth and time. In this paper we consider reliability issues that need to be addressed before mobile agents can be used in a broad range of applications in Mobile Adhoc Network. We show how a Mobile Agent based System can be made more reliable despite the uncertainties introduced by underlying network environment. Adhoc network brings in new aspects to dependability because the characteristics of such network affect reliability of the services offered by the agent system. Here we propose an algorithm for estimating the task route reliability of a system of agents that is based on the conditions of the underlying network. The system consists of independent agent groups, each group corresponds to a particular application for which these are deployed. The complexity of mobile agent based system combined with the underlying dynamic topology of adhoc network drives us to estimate it using Monte Carlo simulation. Smooth Random Mobility Model is used to estimate node location at a particular time. Environmental factors like multipath propagation that affect the received signal power are also considered. The results achieved demonstrate the robustness of the proposed algorithm. This paper demonstrates a reliability estimation model for mobile agent based system in mobile adhoc network and shows that reliability is heavily dependent on the conditions of the network and on agent heterogeneity.

Pages: 55 to 65

Copyright: Copyright (c) to authors, 2011. Used with permission.

Publication date: September 15, 2011

Published in: journal

ISSN: 1942-2644

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