Searching in Navigable Small-world Network

Shortages of traditional intelligent agent searching are slow speed and having robustness problems, because of the large amount of information to exchange. Therefore, it cannot meet the requirements of society now. In order to improve the search efficiency and fault tolerance, this paper studies the small world network model of Kleinberg, and finds this kind of network structure can be contained in a bounded path length. Kleinberg's model is the foundation of the proposed solution. Forming a navigable small world network and providing an external view of a consistent entity as a unified service by AMS and DF. The result indicate that the proposed navigable network can reduce the scale of information exchange from n(2) to 2.5(logn)(2), and keep the search failure rate below 10%.