References |
: |
[1]Nakamoto S. Bitcoin: a peer-to-peer electronic cash system. 2008.
|
[Google Scholar] |
[2]Yuan Y, Wang FY. Blockchain and cryptocurrencies: model, techniques, and applications. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 2018; 48(9):1421-8.
|
[Crossref] |
[Google Scholar] |
[3]Guo H, Yu X. A survey on blockchain technology and its security. Blockchain: Research and Applications. 2022; 3(2):100067.
|
[Crossref] |
[Google Scholar] |
[4]Abou JJ, Saade RG. Blockchain applications–usage in different domains. IEEE Access. 2019; 7:45360-81.
|
[Crossref] |
[Google Scholar] |
[5]Khan SN, Loukil F, Ghedira-guegan C, Benkhelifa E, Bani-hani A. Blockchain smart contracts: applications, challenges, and future trends. Peer-to-peer Networking and Applications. 2021; 14:2901-25.
|
[Crossref] |
[Google Scholar] |
[6]Manzoor R, Sahay BS, Singh SK. Blockchain technology in supply chain management: an organizational theoretic overview and research agenda. Annals of Operations Research. 2022:1-48.
|
[Crossref] |
[Google Scholar] |
[7]Rejeb A, Treiblmaier H, Rejeb K, Zailani S. Blockchain research in healthcare: a bibliometric review and current research trends. Journal of Data, Information and Management. 2021; 3:109-24.
|
[Crossref] |
[Google Scholar] |
[8]Jafar U, Aziz MJ, Shukur Z. Blockchain for electronic voting system-review and open research challenges. Sensors. 2021; 21(17):1-22.
|
[Crossref] |
[Google Scholar] |
[9]Weerawarna R, Miah SJ, Shao X. Emerging advances of blockchain technology in finance: a content analysis. Personal and Ubiquitous Computing. 2023; 27(4):1495-508.
|
[Crossref] |
[Google Scholar] |
[10]Saari A, Vimpari J, Junnila S. Blockchain in real estate: recent developments and empirical applications. Land Use Policy. 2022; 121:106334.
|
[Crossref] |
[Google Scholar] |
[11]Ali MS, Vecchio M, Pincheira M, Dolui K, Antonelli F, Rehmani MH. Applications of blockchains in the internet of things: a comprehensive survey. IEEE Communications Surveys & Tutorials. 2018; 21(2):1676-717.
|
[Crossref] |
[Google Scholar] |
[12]Choo KK, Ozcan S, Dehghantanha A, Parizi RM. Blockchain ecosystem—technological and management opportunities and challenges. IEEE Transactions on Engineering Management. 2020; 67(4):982-7.
|
[Crossref] |
[Google Scholar] |
[13]Lu Y. The blockchain: state-of-the-art and research challenges. Journal of Industrial Information Integration. 2019; 15:80-90.
|
[Crossref] |
[Google Scholar] |
[14]Uddin MA, Stranieri A, Gondal I, Balasubramanian V. A survey on the adoption of blockchain in IoT: challenges and solutions. Blockchain: Research and Applications. 2021; 2(2):100006.
|
[Crossref] |
[Google Scholar] |
[15]Habib G, Sharma S, Ibrahim S, Ahmad I, Qureshi S, Ishfaq M. Blockchain technology: benefits, challenges, applications, and integration of blockchain technology with cloud computing. Future Internet. 2022; 14(11):1-22.
|
[Crossref] |
[Google Scholar] |
[16]Mazlan AA, Daud SM, Sam SM, Abas H, Rasid SZ, Yusof MF. Scalability challenges in healthcare blockchain system-a systematic review. IEEE Access. 2020; 8:23663-73.
|
[Crossref] |
[Google Scholar] |
[17]Zhou Q, Huang H, Zheng Z, Bian J. Solutions to scalability of blockchain: a survey. IEEE Access. 2020; 8:16440-55.
|
[Crossref] |
[Google Scholar] |
[18]Xie J, Yu FR, Huang T, Xie R, Liu J, Liu Y. A survey on the scalability of blockchain systems. IEEE Network. 2019; 33(5):166-73.
|
[Crossref] |
[Google Scholar] |
[19]Khan D, Jung LT, Hashmani MA. Systematic literature review of challenges in blockchain scalability. Applied Sciences. 2021; 11(20):1-27.
|
[Crossref] |
[Google Scholar] |
[20]Kim S, Kwon Y, Cho S. A survey of scalability solutions on blockchain. In international conference on information and communication technology convergence 2018 (pp. 1204-7). IEEE.
|
[Crossref] |
[Google Scholar] |
[21]https://www.statista.com/statistics/730806/daily-number-of-bitcoin-transactions/. Accessed 15 May 2024.
|
[22]https://learn.bybit.com/blockchain/bitcoin-mempool-what-happens-to-the-unconfirmed-transactions/. Accessed 15 May 2024.
|
[23]https://www.statista.com/statistics/730818/average-number-of-ethereum-transactions/. Accessed 15 May 2024.
|
[24]Akrasi-mensah NK, Tchao ET, Sikora A, Agbemenu AS, Nunoo-mensah H, Ahmed AR, et al. An overview of technologies for improving storage efficiency in blockchain-based IIoT applications. Electronics. 2022; 11(16):1-25.
|
[Crossref] |
[Google Scholar] |
[25]Kim T, Lee S, Kwon Y, Noh J, Kim S, Cho S. SELCOM: selective compression scheme for lightweight nodes in blockchain system. IEEE Access. 2020; 8:225613-26.
|
[Crossref] |
[Google Scholar] |
[26]Yu B, Li X, Zhao H. PoW-BC: a PoW consensus protocol based on block compression. KSII Transactions on Internet & Information Systems. 2021; 15(4).
|
[Google Scholar] |
[27]Chen X, Lin S, Yu N. Bitcoin blockchain compression algorithm for blank node synchronization. In 11th international conference on wireless communications and signal processing (WCSP) 2019 (pp. 1-6). IEEE.
|
[Crossref] |
[Google Scholar] |
[28]Qi S, Lu Y, Zheng Y, Li Y, Chen X. Cpds: enabling compressed and private data sharing for industrial internet of things over blockchain. IEEE Transactions on Industrial Informatics. 2020; 17(4):2376-87.
|
[Crossref] |
[Google Scholar] |
[29]Guo Z, Gao Z, Liu Q, Chakraborty C, Hua Q, Yu K, et al. RNS-based adaptive compression scheme for the block data in the blockchain for IIoT. IEEE Transactions on Industrial Informatics. 2022; 18(12):9239-49.
|
[Crossref] |
[Google Scholar] |
[30]Marsalek A, Zefferer T, Fasllija E, Ziegler D. Tackling data inefficiency: compressing the bitcoin blockchain. In 18th international conference on trust, security and privacy in computing and communications/13th international conference on big data science and engineering (trustcom/bigdatase) 2019 (pp. 626-33). IEEE.
|
[Crossref] |
[Google Scholar] |
[31]Xu L, Chen L, Gao Z, Xu S, Shi W. EPBC: efficient public blockchain client for lightweight users. In proceedings of the 1st workshop on scalable and resilient infrastructures for distributed ledgers 2017 (pp. 1-6). ACM.
|
[Crossref] |
[Google Scholar] |
[32]Dorri A, Kanhere SS, Jurdak R. MOF-BC: a memory optimized and flexible blockchain for large scale networks. Future Generation Computer Systems. 2019; 92:357-73.
|
[Crossref] |
[Google Scholar] |
[33]Nadiya U, Mutijarsa K, Rizqi CY. Block summarization and compression in bitcoin blockchain. In international symposium on electronics and smart devices 2018 (pp. 1-4). IEEE.
|
[Crossref] |
[Google Scholar] |
[34]Palai A, Vora M, Shah A. Empowering light nodes in blockchains with block summarization. In 9th IFIP international conference on new technologies, mobility and security 2018 (pp. 1-5). IEEE.
|
[Crossref] |
[Google Scholar] |
[35]Shi D, Wang X, Xu M, Kou L, Cheng H. Ress: a reliable and efficient storage scheme for bitcoin blockchain based on raptor code. Chinese Journal of Electronics. 2023; 32(3):577-86.
|
[Crossref] |
[Google Scholar] |
[36]Qi X, Zhang Z, Jin C, Zhou A. A reliable storage partition for permissioned blockchain. IEEE Transactions on Knowledge and Data Engineering. 2020; 33(1):14-27.
|
[Crossref] |
[Google Scholar] |
[37]Liu Y, Wang K, Lin Y, Xu W. mathsf LightChain: a lightweight blockchain system for industrial internet of things. IEEE Transactions on Industrial Informatics. 2019; 15(6):3571-81.
|
[Crossref] |
[Google Scholar] |
[38]Li C, Zhang J, Yang X, Youlong L. Lightweight blockchain consensus mechanism and storage optimization for resource-constrained IoT devices. Information Processing & Management. 2021; 58(4):102602.
|
[Crossref] |
[Google Scholar] |
[39]Chen J, Lv Z, Song H. Design of personnel big data management system based on blockchain. Future Generation Computer Systems. 2019; 101:1122-9.
|
[Crossref] |
[Google Scholar] |
[40]Mei H, Gao Z, Guo Z, Zhao M, Yang J. Storage mechanism optimization in blockchain system based on residual number system. IEEE Access. 2019; 7:114539-46.
|
[Crossref] |
[Google Scholar] |
[41]Zhao Y, Niu B, Li P, Fan X. A novel enhanced lightweight node for blockchain. In blockchain and trustworthy systems: first international conference, blocksys 2019, Guangzhou, China, 2019, Proceedings 1 2020 (pp. 137-49). Springer Singapore.
|
[Crossref] |
[Google Scholar] |
[42]Xu Z, Han S, Chen L. CUB, a consensus unit-based storage scheme for blockchain system. In 34th international conference on data engineering 2018 (pp. 173-84). IEEE.
|
[Crossref] |
[Google Scholar] |
[43]Xu Y. Section-blockchain: a storage reduced blockchain protocol, the foundation of an autotrophic decentralized storage architecture. In 23rd international conference on engineering of complex computer systems 2018 (pp. 115-25). IEEE.
|
[Crossref] |
[Google Scholar] |
[44]Li D, Dai J, Jiang R, Wang X, Xu Y. GAPG: a heuristic greedy algorithm for grouping storage scheme in blockchain. In IEEE/CIC international conference on communications in China (ICCC Workshops) 2020 (pp. 91-5). IEEE.
|
[Crossref] |
[Google Scholar] |
[45]Liu T, Wu J, Li J, Li J. Secure and balanced scheme for non-local data storage in blockchain network. In 21st international conference on high performance computing and communications; 17th international conference on smart city; 5th international conference on data science and systems (HPCC/SmartCity/DSS) 2019 (pp. 2424-7). IEEE.
|
[Crossref] |
[Google Scholar] |
[46]Dai X, Xiao J, Yang W, Wang C, Jin H. Jidar: a jigsaw-like data reduction approach without trust assumptions for bitcoin system. In 39th international conference on distributed computing systems 2019 (pp. 1317-26). IEEE.
|
[Crossref] |
[Google Scholar] |
[47]Wang X, Wang C, Zhou K, Cheng H. Ess: an efficient storage scheme for improving the scalability of bitcoin network. IEEE Transactions on Network and Service Management. 2021; 19(2):1191-202.
|
[Crossref] |
[Google Scholar] |
[48]Matzutt R, Kalde B, Pennekamp J, Drichel A, Henze M, Wehrle K. Coinprune: shrinking bitcoin’s blockchain retrospectively. IEEE Transactions on Network and Service Management. 2021; 18(3):3064-78.
|
[Crossref] |
[Google Scholar] |
[49]Heo JW, Ramachandran GS, Dorri A, Jurdak R. Blockchain storage optimisation with multi-level distributed caching. IEEE Transactions on Network and Service Management. 2022; 19(4):3724-36.
|
[Crossref] |
[Google Scholar] |
[50]Pyoung CK, Baek SJ. Blockchain of finite-lifetime blocks with applications to edge-based IoT. IEEE Internet of Things Journal. 2019; 7(3):2102-16.
|
[Crossref] |
[Google Scholar] |
[51]Gao J, Li B, Li Z. Blockchain storage analysis and optimization of bitcoin miner node. In communications, signal processing, and systems: proceedings of the 2018 CSPS volume III: systems 7th 2020 (pp. 922-32). Springer Singapore.
|
[Crossref] |
[Google Scholar] |
[52]Chen H, Wang Y. MiniChain: a lightweight protocol to combat the UTXO growth in public blockchain. Journal of Parallel and Distributed Computing. 2020; 143:67-76.
|
[Crossref] |
[Google Scholar] |
[53]Mizrahi A, Rottenstreich O. Blockchain state sharding with space-aware representations. IEEE Transactions on Network and Service Management. 2020; 18(2):1571-83.
|
[Crossref] |
[Google Scholar] |
[54]Cai X, Geng S, Zhang J, Wu D, Cui Z, Zhang W, et al. A sharding scheme-based many-objective optimization algorithm for enhancing security in blockchain-enabled industrial internet of things. IEEE Transactions on Industrial Informatics. 2021; 17(11):7650-8.
|
[Crossref] |
[Google Scholar] |
[55]Jia D, Xin J, Wang Z, Wang G. Optimized data storage method for sharding-based blockchain. IEEE Access. 2021; 9:67890-900.
|
[Crossref] |
[Google Scholar] |
[56]Xu Y, Huang Y. Segment blockchain: a size reduced storage mechanism for blockchain. IEEE Access. 2020; 8:17434-41.
|
[Crossref] |
[Google Scholar] |
[57]Zamani M, Movahedi M, Raykova M. Rapidchain: scaling blockchain via full sharding. In proceedings of the SIGSAC conference on computer and communications security 2018 (pp. 931-48). ACM.
|
[Crossref] |
[Google Scholar] |
[58]Jia D, Xin J, Wang Z, Guo W, Wang G. ElasticChain: support very large blockchain by reducing data redundancy. In web and big data: second international joint conference, APWeb-WAIM 2018, Macau, China, 2018, Proceedings, Part II 2 2018 (pp. 440-54). Springer International Publishing.
|
[Crossref] |
[Google Scholar] |
[59]Luu L, Narayanan V, Zheng C, Baweja K, Gilbert S, Saxena P. A secure sharding protocol for open blockchains. In proceedings of the SIGSAC conference on computer and communications security 2016 (pp. 17-30). ACM.
|
[Crossref] |
[Google Scholar] |
[60]Raman RK, Varshney LR. Dynamic distributed storage for blockchains. In international symposium on information theory 2018 (pp. 2619-23). IEEE.
|
[Crossref] |
[Google Scholar] |
[61]Yin B, Li J, Wei X. EBSF: node characteristics-based block allocation plans for efficient blockchain storage. IEEE Transactions on Network and Service Management. 2022; 19(4):4858-71.
|
[Crossref] |
[Google Scholar] |
[62]Zhou K, Wang C, Wang X, Chen S, Cheng H. A novel scheme to improve the scalability of bitcoin combining ipfs with block compression. IEEE Transactions on Network and Service Management. 2022; 19(4):3694-705.
|
[Google Scholar] |
[63]Hassanzadeh-nazarabadi Y, Küpçü A, Özkasap Ö. LightChain: scalable DHT-based blockchain. IEEE Transactions on Parallel and Distributed Systems. 2021; 32(10):2582-93.
|
[Crossref] |
[Google Scholar] |
[64]Yu B, Li X, Zhao H. Virtual block group: a scalable blockchain model with partial node storage and distributed hash table. The Computer Journal. 2020; 63(10):1524-36.
|
[Crossref] |
[Google Scholar] |
[65]Chen X, Zhang K, Liang X, Qiu W, Zhang Z, Tu D. HyperBSA: a high-performance consortium blockchain storage architecture for massive data. IEEE Access. 2020; 8:178402-13.
|
[Crossref] |
[Google Scholar] |
[66]Zheng Q, Li Y, Chen P, Dong X. An innovative IPFS-based storage model for blockchain. In IEEE/WIC/ACM international conference on web intelligence 2018 (pp. 704-8). IEEE.
|
[Crossref] |
[Google Scholar] |
[67]Xu C, Wang K, Li P, Guo S, Luo J, Ye B, Guo M. Making big data open in edges: a resource-efficient blockchain-based approach. IEEE Transactions on Parallel and Distributed Systems. 2018; 30(4):870-82.
|
[Crossref] |
[Google Scholar] |
[68]Koshy P, Babu S, Manoj BS. Sliding window blockchain architecture for internet of things. IEEE Internet of Things Journal. 2020; 7(4):3338-48.
|
[Crossref] |
[Google Scholar] |
[69]Zhang J, Zhong S, Wang J, Yu X, Alfarraj O. A storage optimization scheme for blockchain transaction databases. Computer Systems Science & Engineering. 2021; 36(3):521-35.
|
[Crossref] |
[Google Scholar] |
[70]Liao Z, Cheng S, Zhang J, Wu W, Wang J, Sharma PK. GpDB: a graph-partition based storage strategy for DAG-blockchain in edge-cloud IIoT. IEEE Transactions on Industrial Informatics. 2022.
|
[Crossref] |
[Google Scholar] |
[71]Xu M, Feng G, Ren Y, Zhang X. On cloud storage optimization of blockchain with a clustering-based genetic algorithm. IEEE Internet of Things Journal. 2020; 7(9):8547-58.
|
[Crossref] |
[Google Scholar] |
[72]Nartey C, Tchao ET, Gadze JD, Yeboah-akowuah B, Nunoo-mensah H, Welte D, et al. Blockchain-IoT peer device storage optimization using an advanced time-variant multi-objective particle swarm optimization algorithm. EURASIP Journal on Wireless Communications and Networking. 2022; 2022(1):5.
|
[Crossref] |
[Google Scholar] |
[73]Akrasi-mensah NK, Agbemenu AS, Nunoo-mensah H, Tchao ET, Ahmed AR, Keelson E, et al. Adaptive storage optimization scheme for blockchain-IIoT applications using deep reinforcement learning. IEEE Access. 2022; 11:1372-85.
|
[Crossref] |
[Google Scholar] |
[74]Zhou Y, Ren Y, Xu M, Feng G. An improved NSGA-III algorithm based on deep Q-networks for cloud storage optimization of blockchain. IEEE Transactions on Parallel and Distributed Systems. 2023; 34(5):1406-19.
|
[Crossref] |
[Google Scholar] |
|