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With the rapid development of computer technology and network technology, the number of users on the Internet increased dramatically, the traditional C / S network is faced with many problems and challenges, and promote peer-to-peer network (Peer-to-Peer network, referred to as the rapid development of peer-to-peer network) mode. P2P network technology proposed a new distributed network design patterns to solve the inherent disadvantage of the C / S network model provides a new direction for the development of network technology and the efficient use of resources. How to quickly and accurately locate resources is one of the core issues of the P2P network research, the establishment of efficient resource search mechanism has become an important research topic, but also P2P network is currently a hot research topic. In-depth study on the basis of the P2P network resources search mechanism, with a focus on the search algorithm in unstructured P2P network, too many redundant messages in the search mechanism of existing resources, the search for low efficiency, proposed two improved algorithms, aimed at reducing the number of redundant query messages in the network, reducing the the message redundancy rate, improve the success rate of resource search. First, the analysis of the P2P network technology related content. P2P network resource search technology research background and significance of the research situation, the definition of P2P networks, technical features and applications, elaborated on the P2P network topology, the focus of typical resource search mechanism in the P2P network. Secondly, the unstructured P2P network resource search strategy based on neighbors - neighbors. In this strategy, the introduction of the neighbors - neighbors, while considering the neighbors of activity and resource hits, to meet the conditions of neighbors path forwarding the query message, the query message is sent to the target resource may exist in the area, reduce the quantity of redundant query messages. The experimental results show that the strategy to reduce the message redundancy rate, and improve the success rate of the resource search. Again, focusing on the ant colony algorithm. Ant colony algorithm is a population-based heuristic optimization algorithm for solving complex combinatorial optimization problems, as a swarm intelligence techniques, ant colony algorithm has a strong global optimization ability and parallelism, faster search results, It has a distinct advantage in the dynamically changing network optimization, more suitable for dynamic network resource searches. Finally, the resource search strategy based on ant colony algorithm in unstructured P2P network. Ant colony algorithm applied to unstructured P2P network resource search, the intelligent search of resources. The strategy takes advantage of the ant pheromones positive feedback principle and neighbor node degree information for routing to select, effectively guide the generation of the search path, taking into account neighbor - neighbor node information, and to some extent reduce the quantity of redundant query messages. The experimental results show that this strategy can achieve efficient resource locator, reduces the number of query messages, reduce a message redundancy rate, improve the success rate of the resource search, search strategy is an effective unstructured P2P network resources.
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