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Abstract: Mobile agent-based routing is a newly proposed routing technique for using in large networks. In order to save network resources, it is desirable to dispatch a small number of mobile agents to get a high probability of finding the destination (probability of success). Therefore, it is not only necessary but also important to analyze the searching activity and the population growth of mobile agents for improving the performance in agent-driven networks. Yet currently there is a lack of such analysis. In this paper, we present a new mobile agent-based routing model for describing the behavior of mobile agents for network routing. Then we analyze both the probability of success and the population growth of mobile agents running in the network. The theoretical results show that the probability of success and the number of mobile agents can be controlled by adjusting relevant parameters according various network characteristics. Our results reveal new theoretical insights into the statistical behaviors of mobile agents and provide useful tools for effectively managing mobile agents in large networks.

FURTHER ANALYSIS ON THE APPLICATION OF MOBILE AGENTS IN NETWORK ROUTING