The Research Of MP2P Network Resource Search Method Based On Improved Ant Colony Algorithm

Network information resources become diversified for the rapid changes of wirelesscommunication and mobile computing technology, the Internet users’ communicationstandard requirements on the network information become more stringent. The researchershave paid attention to make the user enjoy the sharing of resources anytime and anywhere,complete the seamless access to wireless network. Meanwhile, the MP2P network technologyalso emerges as the times require and becomes the focus of academia. The main purpose ofMP2P technology is to make a fusion of the traditional P2P technology, mobile computingand wireless network, to realize the sharing of resources and meet user applicationrequirements anytime and anywhere. However, we must complete the MP2P networkresource search with lightweight and efficient in order to meet the demands of the userapplication and further diversified service. To sum up, the focus of this study is to improveMP2P network resources’ search efficiency and success rate, enhance the MP2P networkrobustness and ensure the normal operation of MP2P network.To begin with, this paper introduces the MP2P technology on domestic and foreignresearch progress, analyzes the research value and the current technical problems and thenrecommends the ant colony algorithm principle and relevant improvement measures. At theMP2P network’s highly dynamic and the nodes’ random movement state, the subject proposesHeterogeneous Multiple Ant Colony Algorithm to complete the unstructured networkresources search and improve the resources’ search efficiency and search solution’s diversityfrom distributed parallel search and global routing. In order to save network bandwidthand improve network utilization, the subject makes the integration of routing monitortechnology and responses to the related query by using the methods of monitoringresponse message at the search process. In the face of resource search or in the transmissionof the network storm, this paper puts forward the ants dynamic intelligent live managementmechanism to prevent the broadcast storm, reduce the network load; according to the nodefailure problems, issue also raises a detection mechanism and backup of QoS mechanism toguarantee the resources transmission link connectivity and the target resource node’s validity.At last, the algorithm designs a series of performance indicators (such as efficiency, thesuccess rate and the network load and so on) to conduct the performance analysis. Theexperimental simulation results, a series of algorithms the subject put forward to improve the search efficiency and success rate, ensure the MP2P network communication effectivenessand the network robustness at highly unstable conditions and ultimately achieve the researchobjectives that master’s thesis desired.