Witness-based Approach for Scaling Distributed Ledgers to Massive IoT Scenarios

Lam Duc Nguyen*, Israel Leyva-Mayorga, Petar Popovski

*Kontaktforfatter

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

4 Citationer (Scopus)
43 Downloads (Pure)

Abstract

Distributed Ledger Technologies (DLTs) are playing a major role in building security and trust in Internet of Things (IoT) systems. However, IoT deployments with a large number of devices, such as in environment monitoring applications, generate and send massive amounts of data. This would generate vast number of transactions that must be processed within the distributed ledger. In this work, we first demonstrate that the Proof of Work (PoW) blockchain fails to scale in a sizable IoT connectivity infrastructure. To solve this problem, we present a lightweight distributed ledger scheme to integrate PoW blockchain into IoT. In our scheme, we classify transactions into two types: 1) global transactions, which must be processed by global blockchain nodes and 2) local transactions, which can be processed locally by entities called witnesses. Performance evaluation demonstrates that our proposed scheme improves the scalability of integrated blockchain and IoT monitoring systems by processing a fraction of the transactions, inversely proportional to the number of witnesses, locally. Hence, reducing the number of global transactions.
OriginalsprogEngelsk
Titel2020 IEEE 6th World Forum on Internet of Things (WF-IoT)
Antal sider6
ForlagIEEE (Institute of Electrical and Electronics Engineers)
Publikationsdato13 okt. 2020
Artikelnummer9221269
ISBN (Trykt)978-1-7281-5504-3
ISBN (Elektronisk)978-1-7281-5503-6
DOI
StatusUdgivet - 13 okt. 2020
Begivenhed2020 IEEE 6th World Forum on Internet of Things (WF-IoT) - New Oreleans, USA
Varighed: 2 jun. 202016 jun. 2020

Konference

Konference2020 IEEE 6th World Forum on Internet of Things (WF-IoT)
Land/OmrådeUSA
ByNew Oreleans
Periode02/06/202016/06/2020

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