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  4. A Delegated Proof of Proximity Scheme for
    Industrial Internet of Things Consensus
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A Delegated Proof of Proximity Scheme for Industrial Internet of Things Consensus

ISSN
978-1-7281-5414-5
ISBN
978-1-7281-5414-5
Type
conference paper
Date Issued
2020-10-18
Author(s)
Ledwaba, Lehlogonolo
;
Hancke, Gerhard P.
;
Mitrokotsa, Aikaterini  
;
Isaac, Sherrin J.
DOI
10.1109/IECON43393.2020.9254661
Abstract
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.
Language
English
HSG Classification
contribution to scientific community
Book title
The 46th Annual Conference of the {IEEE} Industrial Electronics Society, {IECON} 2020
Publisher
IEEE
Start page
4441
End page
4446
Pages
5
Event Title
The 46th Annual Conference of the {IEEE} Industrial Electronics Society, {IECON} 2020
Event Location
Singapore
Event Date
18-21 October
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/111675
Subject(s)

computer science

Division(s)

ICS - Institute of Co...

Eprints ID
262149
File(s)
Thumbnail Image
Name

09254661.pdf

Size

574.85 KB

Format

Adobe PDF

Checksum (MD5)

89df1b1be791bc15522d6c502b144ab1

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