A mobile peer network resource discovery method based on vector positioning

Abstract

The invention discloses a mobile counter network resource discovery method introducing the vector position. The theory of polar coordinate position is introduced and divides the logic area of the whole cellular network according to the big attributive area, the distance and the direction and establishes a new routing table with 3D position vector information, thereby realizing functions of accurate and rapid position of the cellular network and the bi-directional seeking of the resource. The method covers the shortage that the prior algorithm can only seek the resource in one direction and reduces the network expenditure due to the frequent motion of nodes and so on; the introduction of the dynamic cellular manage mechanism realizes the dynamic allocation of the network resources, the interaction of the information between nodes of each stage well expresses the characteristics of the distributed counter network. The method realizes the hierarchical management of the network and the efficient resource discovery; the provided strategy of the vector positioning router is also suitable for the practical large-scale mobile counter network.

Description

technical field [0001] The invention relates to a peer-to-peer network in a mobile environment, in particular to an efficient resource discovery method based on position vector positioning. The technology belongs to the cross-technical application field of mobile communication, computer network and distributed computing. Background technique [0002] Peer-to-Peer network (Peer-to-Peer, P2P) is an overlay network (Overlay) built between the actual physical layer and the application layer. P2P, especially the structured P2P network, is more and more widely used. The great success of MP2P has made researchers focus on the mobile peer-to-peer network (Mobile Peer-to-Peer, MP2P) with larger scope, stronger distribution and wider participation. However, the characteristics of the mobile environment itself, such as the network topology changes brought about by node mobility, the limitations of the node's own resources and capabilities, and the inherent defects of the mobile networ...

AI Technical Summary

Problems solved by technology

However, each node in the ring only contains the information of adjacent nodes, and the speed of resource discovery is relatively slow. When the network scale is large, this speed is unacceptable

In addition, after each node has been hash-mapped, the location information of the node is destroyed; nodes from the same subnet are likely to have far apart physical node numbers, that is, the phenomenon that although they are close logically, they are far apart physically. This further slows down resource discovery

Images