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Bayesian trust model-based network end-to-end delay optimization method

A trust model and network-side technology, applied in the network field, can solve problems such as ignorance

Active Publication Date: 2016-06-22
BEIJING INFORMATION SCI & TECH UNIV
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Problems solved by technology

However, this approach ignores the impact of trust relationships between nodes on end-to-end latency

Method used

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  • Bayesian trust model-based network end-to-end delay optimization method
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  • Bayesian trust model-based network end-to-end delay optimization method

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Embodiment Construction

[0069] The present invention will be further described below by means of accompanying drawings and examples. Note that this example is intended to facilitate understanding of the present invention, and does not limit the present invention.

[0070] refer to figure 1 , a network end-to-end delay optimization method based on a Bayesian trust model of the present invention, comprising the following steps:

[0071] Step (1): At any initial moment, initialize the unit square network scenario, transmission data flow and transmission scheduling model of the mobile ad hoc network.

[0072] In step (1), the network environment needs to be initialized first. In the two-hop mobile ad hoc network environment, the unit square network range of the mobile ad hoc network is divided into m*m cells, such as figure 2 As shown, in this example, the unit square network range is divided into 8*8 cells, that is, m=8. At the initial moment, randomly arrange n=64 mobile nodes in the network. Cho...

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Abstract

The invention relates to a Bayesian trust model-based network end-to-end delay optimization method. The method includes the following steps that: the unit square network scene, transmission data streams and transmission scheduling model of a mobile ad hoc network are initialized; the data forwarding behaviors of each node are monitored, the number of the times of successful data forwarding and the number of the times of failed data forwarding of all the nodes at a T time point are collected and are put into statistics, and the average number of the times of the successful data forwarding and failed data forwarding is calculated; the trust ranks of all the nodes in an network environment and the trust rank of the environment at a T+1 time point are assessed by using Bayesian method; based on closed theoretic analysis on the upper bound of the Bayesian trust model-based network end-to-end delay of the two-hop mobile ad hoc network, the optimally theoretical upper bound of the Bayesian trust model-based network end-to-end delay and a corresponding trust threshold value are obtained; and the trust threshold value is introduced to the network environment, and trust evaluation is performed on meeting non-destination nodes, and a decision whether to choose the meeting nodes as relay nodes is made. With the method of the invention adopted, end-to-end delay of data transmission in the two-hop mobile ad hoc network can be reduced.

Description

technical field [0001] The invention belongs to the field of network technology, and in particular relates to a method for optimizing network end-to-end delay through a Bayesian trust model in a two-hop single-copy mobile ad hoc network. Background technique [0002] At present, with the rapid development of wireless mobile communication and mobile terminal equipment, mobile ad hoc networks (Mobile Adhoc Networks, MANETs for short), as a kind of non-central ad hoc Widely used in network environment. One of the goals of implementing the MANET is to provide high-quality data communication services in the shortest possible time, and the users served by the MANET usually have extremely strict requirements on network delay time. [0003] In traditional mobile ad hoc networks, because nodes move randomly and randomly choose whether to cooperate with neighbor nodes, this causes waste of data resources and increases irrelevant delays. Rational selection of relay nodes to forward d...

Claims

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Application Information

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IPC IPC(8): H04W24/02H04W40/22
Inventor 蔡英汤飞范艳芳
Owner BEIJING INFORMATION SCI & TECH UNIV
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