4.7 Article

An improved DPoS consensus mechanism in blockchain based on PLTS for the smart autonomous multi-robot system

Journal

INFORMATION SCIENCES
Volume 575, Issue -, Pages 528-541

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2021.06.046

Keywords

Blockchain; DPoS; Consensus mechanism; Smart multi-robot syste; Delegate; Voting

Funding

  1. National Natural Science Foundation [61772099, 61772098, 61802039]
  2. Science and Technology Innovation Leadership Support Program of Chongqing [CSTCCXLJRC201917]
  3. Univer-sity Outstanding Achievements Transformation Funding Project of Chongqing [KJZH17116]
  4. Innovation and Entrepreneurship Demonstration Team Cultivation Plan of Chongqing [CSTC2017kjrc-cxcytd0063]
  5. Technol-ogy Innovation and Application Development Projects of Chongqing [CSTC2019jscx-fxydX0086, cstc2019jscx-fxydX0089, cstc2018jscx-mszd0132]

Ask authors/readers for more resources

Robot systems face security issues, blockchain technology can enhance security; DPoS consensus mechanism plays a critical role in blockchain, operating through representative voting.
Due to the development of robot technology, smart autonomous multi-robot systems face different security problems such as data loss and vulnerabilities. However, the robot information stored in blockchain can be more transparent and effective at ensuring the security of the robot system due to the decentralization, tamper-proof and anonymity of block chain. In the architectural composition of blockchain, Delegated Proof of Stake (DPoS) consensus mechanism is playing a critical role with more decentralization, lower energy consumption and faster confirmation speed. Similar to the board voting, the holders cast a certain number of delegates to perform verification and block generating on their behalf in DPoS. In order to improve the efficiency and flexibility of DPoS consensus mechanism, we propose an improved DPoS consensus mechanism based on the Probabilistic Linguistic Term Set (PLTS) for the smart autonomous multi-robot system. By adding voting options for nodes, the Voting Algorithm with Probabilistic Linguistic Information (VAPLI) calculates the score and deviation degree of each node after tabulating the voting results. The selection of a delegate is based on the comparison of the score and deviation degree. Finally, we explore the model implementation of the improved DPoS consensus mechanism, and verify its feasibility and effectiveness using examples. (c) 2021 Elsevier Inc. All rights reserved.

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