Reliability estimate of mobile agent system for QoS MANET applications

A mobile agent is a particular agent with the ability to migrate from one host to another where it can resume its execution. Mobile agents can be used to save bandwidth and time in wireless and mobile network applications. In this paper we consider reliability issues that need to be addressed before mobile agents can be used for a broad range of commercial applications in mobile adhoc network (MANET). Here we propose an algorithm for estimating the task route reliability of mobile agent systems (MAS) that is based on the conditions of the underlying wireless network. The agents can select their route dynamically. The complexity of MAS makes it hard to obtain the theoretical route reliability of the MAS; instead we estimate it using Monte Carlo simulation. Smooth Random Mobility Model (SRMM) is used to estimate node location at a particular time. Each mobile agent may have different demands for link capacity depending upon the task it is assigned. So a mobile agent is assumed to move through a path that satisfies its Quality of Service (QoS) requirement in terms of link capacity. Link failures are treated to be transient in nature. In this paper, we assume that the MAS consists of a number of simultaneously operating independent groups of mobile agents. The results that we have achieved demonstrate the robustness of the proposed algorithm.