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Krishnamohan, Theviyanthan
- Improving Byzantine Fault Tolerance in Swarm Robotics Collective Decision-making Scenario via a New Blockchain Consensus Algorithm
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Authors
Affiliations
1 Department of Computer Science and Engineering, University of Westminster, GB
1 Department of Computer Science and Engineering, University of Westminster, GB
Source
ICTACT Journal on Soft Computing, Vol 13, No 4 (2023), Pagination: 3027-3033Abstract
Swarm robotics applies concepts of swarm intelligence to robotics. Discrete consensus achievement is one of the major behaviors found in swarm robotics. Various algorithms have been developed for discrete consensus achievement. However, existing discrete consensus achievement algorithms are vulnerable to Byzantine robots. Blockchain has been successfully used to mitigate the negative effect of Byzantine robots. Nevertheless, since the blockchain solution uses the Proof-of-Work blockchain consensus algorithm, it is vulnerable to the 51% attack. Besides, the swarm also takes longer to achieve consensus. This research proposes a novel blockchain consensus algorithm called Proof-of-Identity—which uses a private-public key pair and a swarm controller—to create a dynamically permissioned blockchain that would negate the 51%-attack problem associated with the Proof-of-Work algorithm while also reducing the consensus time. This proposed solution was tested against the classical solution and the existing blockchain solution using the collective perception scenario. Test results show that the Proof-of-Identity algorithm prevents the 51%-attack problem while improving the consensus time in comparison to the existing blockchain solution without affecting the exit probability.Keywords
Blockchain, Swarm Robotics, Proof Of Identity, Proof Of Work, Blockchain Consensus Algorithm, Collective Perception.
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