Applications of Distributed Ledger Technologies to the Internet of Things

Zhu, Qingyi; Loke, Seng W.; Trujillo-Rasúa, Rolando; Jiang, Frank; Xiang, Yong

doi:10.1145/3359982

Cited by 77 publications

(50 citation statements)

References 88 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The five-layer abstraction of blockchain, including network, consensus, data, execution, and application layers, was defined in several recent works, see e.g., [2], [9], [11]. To describe the architecture and functionality of blockchain simulators, we adapt the five-layer abstraction of DLT, as shown in Fig.…”

Section: A Taxonomy Of Dltsmentioning

confidence: 99%

“…The role of the consensus layer is to get all nodes in the system to reach an agreement on the DLT system state. Most of the existing consensus algorithms fall into one of the following three categories [11]: i) proof-based, ii) vote/Byzantine Fault Tolerance (BFT)-based, and iii) DAGbased consensuses.…”

Section: ) Consensus Layermentioning

confidence: 99%

“…Adding transactions to a DAG-based distributed ledger is easy, but DAG-based consensus is vulnerable to malicious participants who validate their transactions. The current workaround, i.e., introducing a trusted validator, is at the expense of losing decentralization, [11].…”

Section: ) Consensus Layermentioning

confidence: 99%

“…However, all these practical evaluation strategies require the availability of existing systems. We refer interested readers to recent reviews [9], [11] for a more detailed analysis of performance evaluation techniques.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Systematic Review and Empirical Analysis of Blockchain Simulators

2021

View full text Add to dashboard Cite

In recent years, distributed ledger technologies, and especially blockchain, have gained tremendous interest from academia, government, and industry. Although various blockchain-based solutions were created, the lack of tools to evaluate these complex distributed systems may hinder the development of the field. Many advantages of blockchain systems can be demonstrated only at large scales, e.g., using thousands of nodes. An investigation of different implementations and design choices is complicated and hardly feasible on real systems. Meanwhile, blockchain simulators give the possibility to repeat the complex real-world processes at a low cost. This work provides the first and an up-to-date systematic review and empirical analysis of blockchain simulators. Simulators are easily extensible and can test the performance of distributed ledgers using different settings and parameters on a single computer. The features and limitations of selected simulators are summarized and experimentally validated. Finally, recommendations for potential future research directions in the field are provided. INDEX TERMS Bitcoin, distributed ledger technology, blockchain, simulators, systematic review.

show abstract

Section: A Taxonomy Of Dltsmentioning

confidence: 99%

Section: ) Consensus Layermentioning

confidence: 99%

Section: ) Consensus Layermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Systematic Review and Empirical Analysis of Blockchain Simulators

2021

View full text Add to dashboard Cite

show abstract

“…The technology opens up even more opportunities for operating driverless cars. This renders the hashgraph a promising function to use in vehicles, greatly reducing accidents [32].…”

Section: Significance Of Workmentioning

confidence: 99%

Integrating IoT and Blockchain for Ensuring Road Safety: An Unconventional Approach

Prashar

Jha

et al. 2020

Sensors

View full text Add to dashboard Cite

The Internet of things (IoT), the Internet of vehicles, and blockchain technology have become very popular these days because of their versatility. Road traffic, which is increasing day by day, is causing more and more deaths worldwide. The world needs a product that would reduce the number of road accidents. This paper suggests combining IoT and blockchain technology to mitigate road hazards. The new intelligent transportation system technologies and the subsequent emergence of 5G technologies will be a blessing, delivering the necessary speed to ensure both safety and quality of service (QoS). Hashgraph technology, a distributed ledger technology is used to create communication networks between the different vehicles and other relevant parameters. Scheduling the requests according to the priorities for ensuring better QoS quotient can be effectively done using hashgraph. We demonstrated how the hashgraph outstrips other equivalents platforms. The proposed model was simulated using OMNeT++ with proper design and network description files. A hardware implementation of the proposed model was also done. Messages were transferred between the vehicles and prioritized using a hashgraph. This paper proposes an effective model in reducing the accidents in terms of parameters like speed, security, stability, and fairness.

show abstract