File Searching Method Research Based On Pheromone's Induction For Mobile P2P Networks

With the rapid development of mobile communication technology and mobile terminal equipment's performance rising, mobile network technology is developing rapidly. Mobile P2P network is the product of this period, combined with the characteristics of P2P and mobile network, the relevant technology of the P2P is introduced into the mobile network for application has the important meaning for mobile operators and users. But because of these characteristics, such as mobile P2P network's topology changes frequently, constraints of the node's resource, and network layer addressing and the identify mechanisms are not unified etc, to realize the series of related technology of P2P in the mobile network bring about many problems, the resource search performance dropped and network security declined etc.The outstanding problems in the resource search area is, faced on the network topology changes frequently, the search methods are not flexible enough, the algorithm's adaptivity and strain capacity is limited, the search success rate and reliability is significantly reduced. Based on the analysis of the existing improvement and update technology, the resource search process of mobile P2P is easy to cause the local network nodes are visited too frequent, and at last cause the search success rate is not high and the reliability to lower, this paper put forward the following solutions:Firstly, through the comparison and analysis between the mobile P2P and KaZaA network, this paper gave a mobile P2P network model, M-KaZaA. It includes the overall architecture and specific details design, from the network topology, the node sign methods to the resource storage ways. These designs provide the foundation for the following document retrieval methods.Secondly, based on the M-KaZaA network, this paper gave a file searching method based on the Pheromone's induction, which use the idea of Pheromone in the Ant Colony Algorithm. It uses the records of every document retrieval process to provide guidance for the future search, which makes the search process moved from radio diffusion modes to the directional transmission. This method improves the document retrieval success rate and reliability efficiently. At the same time in introducing Ant Colony Algorithm is effective to solve the network load problems following with the search process.Finally, through the simulation experiment and the interpretation of result proved the validity and feasibility of this method.