A Bayesian Network Based Invulnerability Evaluation Method for High Dynamic Mobile Ad Hoc Networks

Abstract

A Bayesian Network-Based Method for Invulnerability Assessment of Highly Dynamic Mobile Ad Hoc Networks. The invention aims at improving the anti-destroy and anti-interference ability of the mobile self-organizing network, ensuring main services, and reducing the damage range, based on the selection of the central node, and using the Bayesian network model and the ARMA model as means to solve the problem of high dynamic mobile self-organizing Network link state assessment problem. Through the central node election and active detection, the network topology and the running status of the active path are obtained, combined with the Bayesian network, the degraded link in the active route is inferred, and the message is broadcast; the relevant nodes associated with the degraded link receive After the message to the central node, based on historical data. Combined with the ARMA model, the degradation duration of the degraded link is predicted. The invention cites a Raft-based consensus election algorithm, a Bayesian structure learning method, a Bayesian parameter learning method, a local joint tree reasoning model and an autoregressive moving average model (ARMA).

Description

technical field [0001] The invention relates to the field of link state assessment of mobile ad hoc networks, in particular to a network invulnerability assessment method based on Bayesian networks. Background technique [0002] The mobile ad hoc network is an ad hoc peer-to-peer network with a temporary topological structure composed of movable nodes connected arbitrarily. The network does not have a fixed network infrastructure, nor does the network provide a central control unit, and all network nodes are connected spontaneously to form a dynamic topology. Each node in the network has the function of sending data, receiving data and forwarding data. Since the mobile ad hoc network nodes are unreliable and prone to damage, wireless links are often easily disturbed, resulting in highly dynamic changes in network topology and wireless link quality, which in turn have a greater impact on network availability. Therefore, network invulnerability is an important indicator for ...

AI Technical Summary

Problems solved by technology

Since the mobile ad hoc network nodes are unreliable and prone to damage, wireless links are often easily disturbed, which causes high dynamic changes in network topology and wireless link quality, which in turn has a greater impact on network availability.

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