The Research Of Resource Discovery Algorithm In Mobile Peer-to-peer Network

With the development of mobile technology, as well as maturity of peer-to-peer network technology, more and more institution investigate mobile peer-to-peer network. Mobile peer-to-peer network is based upon mobile wireless networks, peers in the network usually are mobile equipment, such as mobile telephone, PDA etc. Compared with traditional peer-to-peer network based on wire establishment, peers in the mobile peer-to-peer network have a strong ability of moving, the joining and departing of the peers become much more random and frequency. Further more, peers have small memory, low capability and limited energy sources.Due to the characteristic of itself, mobile peer-to-peer network have more restriction, which is faced with new challenge of super-peer's selection and resource discovery. The high dynamic of mobile peer-to-peer network make the topology of network changing frequently, and inconsistent of overlay network and bottom physical network topology, which can make worse network capability, higher failure rate of super-peer, longer of query delay, lower effect of data transmission, as well as lower success rate of resource discovery and system instability.In allusion to the characteristic of mobile peer-to-peer, thesis brings forward two algorithms. The first algorithm is the selection of super-peers in mobile peer-to-peer network, can select a peer with more powerful and longer lifetime as a super-peer, and using the technique of backup super-peer, that improving the efficiency of a system in the mobile peer-to-peer network. The experimental results prove that the proposed algorithm could reduce the failure rate of super-peer and shorten the query delay. The second algorithm is the resource discovery algorithm based on super-peer, can select a peer with high capability and weak dynamic as a super-peer, and adopting backup super-peer to query quickly. It improves the performance of resource search and system stability in mobile peer-to-peer network.The experimental results show that the proposed algorithm could reduce the failure rate of index information,shorten the query delay and enhance the success rate of resource search.