A Delegated Proof of Proximity Scheme for Industrial Internet of Things Consensus
| Autor: | Gerhard P. Hancke, Sherrin J. Isaac, Aikaterini Mitrokotsa, Lehlogonolo P. I. Ledwaba |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Flexibility (engineering)
Cryptocurrency Blockchain Computer science business.industry Distributed computing 020206 networking & telecommunications Context (language use) Cryptography computer science 02 engineering and technology Proof-of-stake 020204 information systems Ledger Distributed ledger 0202 electrical engineering electronic engineering information engineering business Block (data storage) |
| Zdroj: | IECON |
| Popis: | Recently, work with Distributed Ledger Technologies (DLTs) has focussed on leveraging the decentralised, immutable ledger for use outside of cryptocurrency. One industry poised to benefit from DLTs is the Industrial Internet of Things (IIoT); as the inherent cryptographic mechanisms and alternative trust model make DLTs an attractive solution for distributed networks. Existing DLTs are unsuitable for the IIoT, owing to the large computational and energy requirements for consensus operations and the slow throughput of validated blocks. With limited processing, energy and storage resources and a deadline sensitive operational environment, DLTs in their current state could serve to introduce intolerable latency into IIoT processes and deplete constrained, device resources. Designed for the IIoT context, and based off Delegated Proof of Stake, this work serves to introduce a new consensus mechanism called Delegated Proof of Proximity (DPoP). Using existing location discovery processes, nodes in close proximity to a sensor event are elected as delegates; whose role is to handle consensus and block generation. In using information already known to IIoT devices, DPoP aims to reduce wasted effort, improve throughput by limiting the number of nodes required for consensus operations and improve scalability and flexibility of DLT solutions as the IIoT network continues to grow. |
| Databáze: | OpenAIRE |
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