Reliability estimation of mobile agent systems using the Monte Carlo approach

In this paper two algorithms are proposed for estimating the reliability of mobile agent systems, which are based on the conditions of the underlying computer network. A third algorithm is proposed for generating a random static planning strategy for mobile agents. The complexity of the mobile agent system network makes it hard to obtain the reliability of the system theoretically; instead we estimate it using the Monte Carlo simulation approach. In this paper, we assume that the system consists of a number of independent mobile agents operating simultaneously. The results we have achieved demonstrate the robustness of the proposed algorithms.