Dynamic Routing Learning Method for Ad Hoc Network Based on Blockchain Security Attributes

Abstract

The invention discloses an ad hoc network dynamic routing learning method based on the security attribute of the block chain. The method combines the basic technology of the block chain to establish a dynamic routing learning mechanism based on the block security attribute, and improves the traditional routing update method by only using The link packet loss rate is used as the basis for route learning, which innovatively combines security attributes and link packet loss rate as the basis for route learning, thereby improving the security and reliability of UAV networking in various application fields; secondly , Based on the limitation of UAV computing power, the innovative use of blockchain technology to update the security attribute value of the node improves the update efficiency of the security attribute value.

Description

technical field [0001] The present invention relates to the field of block chain and unmanned aerial vehicle network communication, in particular to a method for learning dynamic routing of self-organized network based on the security attribute of block chain. Background technique [0002] The UAV network is a network interconnected by wireless channels. Compared with the traditional network, the nodes of the UAV network move randomly, resulting in the dynamic change of its network topology. At the same time, the network does not have a central node, and the data packets in the network can be arbitrarily changed. Forwarding is performed between nodes, so it is difficult to apply the relatively static route learning method of traditional networks to UAV networks. [0003] Most of the routing learning methods currently used in UAV networks are based on link reachability, node forwarding capability, and energy consumption. The reachability rate of the link refers to the packet...

AI Technical Summary

Problems solved by technology

However, when adding security attributes to the UAV network, some security weaknesses of the UAV network need to be considered, mainly reflected in: the lack of fixed infrastructure in the UAV network, no central control and authentication nodes, All functions are completed by the node itself, and the node assumes the two roles of host and router at the same time, making traditional and complex encryption, authentication and other technologies difficult to implement in the UAV network

Compared with nodes in traditional networks, mobile nodes in UAV networks have limited resources such as computing power, storage space, communication, and power, so complex security and encryption algorithm protocols cannot be deployed in the network.

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