Opportunity network data distribution method based on centrality degree and opportunity network system

Abstract

The invention belongs to the communication technology field and especially relates to an opportunity network data distribution method based on a centrality degree and an opportunity network system. The opportunity network data distribution method based on the centrality degree comprises the following steps of stepS1) calculating a centrality degree of a node and a data transmission probability; stepS2) generating new data and a forwarding token of the data by a source node, for the node whose the forwarding token number is not 1, according to the data transmission probability and a future meeting probability of the node and a destination node, carrying out half division processing till that the forwarding token is 1 or the data is successfully forwarded to the destination node. By using the opportunity network data distribution method based on the centrality degree, under the condition that a transcript is not added, a data forwarding success rate is increased and data forwarding time delay is reduced.

Description

technical field [0001] The invention belongs to the technical field of communication, and in particular relates to a centrality-based opportunistic network data distribution method and an opportunistic network system. Background technique [0002] With more and more users of handheld mobile terminals, building a handheld switching network faces great opportunities and challenges. Handheld switching networks use opportunistic transmission to communicate between people in a dynamic and end-to-end network environment. The main challenge of handheld switching networks is how to design a data distribution mechanism without end-to-end connections. An opportunistic network is a self-organizing network that does not require a complete path between the source node and the destination node, and uses the encounter opportunities brought about by node movement to realize network communication. [0003] At present, the commonly used data distribution methods mainly include: direct transf...

AI Technical Summary

Problems solved by technology

Due to the harsh network environment of opportunistic networks, the success rate of forwarding can be improved by adding copies, but it will cause a very heavy burden on the opportunistic network that already has scarce network resources.

[0006] In addition, the common disadvantage of the above data distribution method is that the current data distribution method does not provide other new methods to improve forwarding efficiency except for adjusting the number of copies.

At the same time, none of the above data distribution methods can adapt to the changes in the network environment.

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