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A delegated proof of proximity scheme for industrial internet of things consensus

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dc.contributor.author Ledwaba, LPI
dc.contributor.author Hancke, GP
dc.contributor.author Mitrokotsa, A
dc.contributor.author Isaac, Sherrin J
dc.date.accessioned 2021-04-06T10:05:26Z
dc.date.available 2021-04-06T10:05:26Z
dc.date.issued 2020-10
dc.identifier.citation Ledwaba, L., Hancke, G., Mitrokotsa, A. & Isaac, S.J. 2020. A delegated proof of proximity scheme for industrial internet of things consensus. http://hdl.handle.net/10204/11951 . en_ZA
dc.identifier.isbn 978-1-7281-5414-5
dc.identifier.isbn 978-1-7281-5413-8
dc.identifier.isbn 978-1-7281-5415-2
dc.identifier.uri DOI: 10.1109/IECON43393.2020.9254661
dc.identifier.uri https://ieeexplore.ieee.org/document/9254661
dc.identifier.uri http://hdl.handle.net/10204/11951
dc.description.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. en_US
dc.format Fulltext en_US
dc.language.iso en en_US
dc.source 46th Annual Conference of the IEEE Industrial Electronics Society (IECON), Singapore, Singapore, 18-21 October 2020 en_US
dc.subject Blockchain en_US
dc.subject Consensus en_US
dc.subject Delegated Proof of Proximity en_US
dc.subject Distributed Ledger Technologies en_US
dc.subject DLTs en_US
dc.subject Industrial Internet of Things en_US
dc.subject IIoT en_US
dc.title A delegated proof of proximity scheme for industrial internet of things consensus en_US
dc.type Conference Presentation en_US
dc.description.pages 6pp en_US
dc.description.note Copyright: IEEE. Due to copyright restrictions, the attached PDF file contains the accepted version of the published item. For access to the published item, please consult the publisher's website: https://ieeexplore.ieee.org/document/9254661/footnotes#footnotes en_US
dc.description.cluster Next Generation Enterprises & Institutions
dc.description.impactarea Advanced Internet of Things en_US
dc.identifier.apacitation Ledwaba, L., Hancke, G., Mitrokotsa, A., & Isaac, S. J. (2020). A delegated proof of proximity scheme for industrial internet of things consensus. http://hdl.handle.net/10204/11951 en_ZA
dc.identifier.chicagocitation Ledwaba, LPI, GP Hancke, A Mitrokotsa, and Sherrin J Isaac. "A delegated proof of proximity scheme for industrial internet of things consensus." <i>46th Annual Conference of the IEEE Industrial Electronics Society (IECON), Singapore, Singapore, 18-21 October 2020</i> (2020): http://hdl.handle.net/10204/11951 en_ZA
dc.identifier.vancouvercitation Ledwaba L, Hancke G, Mitrokotsa A, Isaac SJ, A delegated proof of proximity scheme for industrial internet of things consensus; 2020. http://hdl.handle.net/10204/11951 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Ledwaba, LPI AU - Hancke, GP AU - Mitrokotsa, A AU - Isaac, Sherrin J AB - 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. DA - 2020-10 DB - ResearchSpace DP - CSIR J1 - 46th Annual Conference of the IEEE Industrial Electronics Society (IECON), Singapore, Singapore, 18-21 October 2020 KW - Blockchain KW - Consensus KW - Delegated Proof of Proximity KW - Distributed Ledger Technologies KW - DLTs KW - Industrial Internet of Things KW - IIoT LK - https://researchspace.csir.co.za PY - 2020 SM - 978-1-7281-5414-5 SM - 978-1-7281-5413-8 SM - 978-1-7281-5415-2 T1 - A delegated proof of proximity scheme for industrial internet of things consensus TI - A delegated proof of proximity scheme for industrial internet of things consensus UR - http://hdl.handle.net/10204/11951 ER - en_ZA
dc.identifier.worklist 24201 en_US


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