Witness-based Approach for Scaling Distributed Ledgers to Massive IoT Scenarios
| Autor: | Duc-Lam Nguyen, Petar Popovski, Israel Leyva-Mayorga |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Scheme (programming language)
FOS: Computer and information sciences Distributed Ledgers IoT Blockchain Computer science 02 engineering and technology Systems and Control (eess.SY) Electrical Engineering and Systems Science - Systems and Control Computer Science - Networking and Internet Architecture Distributed ledger 0202 electrical engineering electronic engineering information engineering FOS: Electrical engineering electronic engineering information engineering Environment Monitoring Scaling scalability computer.programming_language Networking and Internet Architecture (cs.NI) Witness business.industry Scale (chemistry) 020206 networking & telecommunications Proof-of-work system Ledger 020201 artificial intelligence & image processing business computer Computer network |
| Zdroj: | Nguyen, L D, Leyva-Mayorga, I & Popovski, P 2020, Witness-based Approach for Scaling Distributed Ledgers to Massive IoT Scenarios . in 2020 IEEE 6th World Forum on Internet of Things (WF-IoT) ., 9221269, IEEE, 2020 IEEE 6th World Forum on Internet of Things (WF-IoT), New Oreleans, Louisiana, United States, 02/06/2020 . https://doi.org/10.1109/WF-IoT48130.2020.9221269 WF-IoT |
| DOI: | 10.1109/WF-IoT48130.2020.9221269 |
| Popis: | 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. Comment: 6 pages, 7 figures, conference paper |
| Databáze: | OpenAIRE |
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