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SwarmDAG: A Partition Tolerant Distributed Ledger Protocol for Swarm Robotics

Jason A. Tran, Gowri Ramachandran, Palash M Shah, Claudiu Danilov, Rodolfo Santiago, Bhaskar Krishnamachari

Year
2019
Citations
26
Access
Open access

Abstract

Blockchain technology has the potential to disrupt applications beyond cryptocurrencies. This work applies the concepts of blockchain technology to swarm robotics applications. Swarm robots typically operate in a distributed fashion, wherein the collaboration and coordination between the robots are essential to accomplishing the application goals. However, robot swarms may experience network partitions either due to navigational and communication challenges or in order to perform certain tasks efficiently. We propose a novel protocol, SwarmDAG, that enables the maintenance of a distributed ledger based on the concept of extended virtual synchrony while managing and tolerating network partitions.

Keywords

Swarm roboticsComputer scienceRobotBlockchainDistributed computingSwarm behaviourRoboticsPartition (number theory)Distributed ledgerProtocol (science)

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