Efficient consensus algorithm based on improved DPoS in UAV-assisted mobile edge computing

Aiming at the problems of low decentralization, low motivation for node voting, and malicious behavior of nodes for the traditional DPoS consensus mechanism in the blockchain-based UAV-assisted mobile edge computing environment, this paper proposes an improved DPoS-based consensus mechanism approach. First, the framework of a blockchain-based UAV-assisted mobile edge computing system is given, and the consensus mechanism design problem in this framework is analyzed. Second, a proxy node selection model is established based on the rights and votes obtained by the blockchain nodes, and the proxy nodes are selected to participate in the consensus process of the current cycle. Then, the voting behavior, block generation behavior, and block verification behavior of nodes are classified into positive and malicious behaviors to reward and punish the reputation value of nodes. Finally, a blockchain-based UAV-assisted mobile edge computing experimental environment is built, and the TDPoS algorithm, ADRP algorithm, and RDPoS algorithm are used as benchmark algorithms to experimentally compare with the proposed improved DPoS consensus-based algorithm. The experimental results show that the algorithms in this paper can improve network throughput, reduce block-out delay, and increase the proportion of secure proxy nodes.

Automated summary

This paper proposes an improved DPoS-based consensus mechanism to address the issues of low decentralization, low motivation for node voting, and malicious behavior in the traditional DPoS consensus mechanism for blockchain-based UAV-assisted mobile edge computing. The study provides a framework for a blockchain-based UAV-assisted mobile edge computing system and analyzes the consensus mechanism design problem. It establishes a proxy node selection model based on blockchain node rights and votes and classifies node behaviors into positive and malicious behaviors to reward and punish reputation value. Experimental results demonstrate that the proposed algorithms can enhance network throughput, reduce block-out delay, and increase the proportion of secure proxy nodes.