TY  - JOUR
U1  - Zeitschriftenartikel, wissenschaftlich - begutachtet (reviewed)
A1  - Akrasi-Mensah, Nana Kwadwo
A1  - Tchao, Eric Tutu
A1  - Sikora, Axel
A1  - Agbemenu, Andrew Selasi
A1  - Welte, Dominik
A1  - Nunoo-Mensah, Henry
A1  - Ahmed, Abdul-Rahman
A1  - Keelson, Eliel
ED  - Abawajy, Jemal
T1  - An Overview of Technologies for Improving Storage Efficiency in Blockchain-Based IIoT Applications
JF  - Electronics
N2  - Since the inception of blockchain-based cryptocurrencies, researchers have been fascinated with the idea of integrating blockchain technology into other fields, such as health and manufacturing. Despite the benefits of blockchain, which include immutability, transparency, and traceability, certain issues that limit its integration with IIoT still linger. One of these prominent problems is the storage inefficiency of the blockchain. Due to the append-only nature of the blockchain, the growth of the blockchain ledger inevitably leads to high storage requirements for blockchain peers. This poses a challenge for its integration with the IIoT, where high volumes of data are generated at a relatively faster rate than in applications such as financial systems. Therefore, there is a need for blockchain architectures that deal effectively with the rapid growth of the blockchain ledger. This paper discusses the problem of storage inefficiency in existing blockchain systems, how this affects their scalability, and the challenges that this poses to their integration with IIoT. This paper explores existing solutions for improving the storage efficiency of blockchain–IIoT systems, classifying these proposed solutions according to their approaches and providing insight into their effectiveness through a detailed comparative analysis and examination of their long-term sustainability. Potential directions for future research on the enhancement of storage efficiency in blockchain–IIoT systems are also discussed.
KW  - blockchain
KW  - IIoT
KW  - scalability
KW  - storage efficiency
KW  - storage optimization
KW  - compression
KW  - summarization
KW  - machine learning
Y1  - 2022
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:ofb1-opus4-61388
SN  - 2079-9292
SS  - 2079-9292
U6  - https://doi.org/10.3390/electronics11162513
DO  - https://doi.org/10.3390/electronics11162513
VL  - 11
IS  - 16
PB  - MDPI
CY  - Basel
ER  -