Sensor-Chain: A Scalable and Lightweight Blockchain Framework for the Internet of Things
Authors/Creators
- 1. M. Tech Scholar, Department of Electronics & Communication Engineering, Technocrats Institute of Technology-CSE, Bhopal (M.P.), India
- 2. Head of Department, Department of Electronics & Communication Engineering, Technocrats Institute of Technology-CSE, Bhopal (M.P.), India
- 3. Associate Professor, Department of Electronics & Communication Engineering, Technocrats Institute of Technology-CSE, Bhopal (M.P.), India
Description
Blockchain (BC) has gained a lot of interest because of its immutable nature and the security and privacy advantages that come with it. The Internet of Things (IoT) presents security and privacy concerns that BC has the ability to address. BC, though, is computationally. The IoT context is not appropriate for pricey, restricted scalability technology that also has large bandwidth overheads and delays. We suggest a tier-structured Lightweight Scalable BC (LSB) that is tailored to IoT needs. We investigate LSB in a smart home environment as a sample illustration of more extensive IoT uses. In a smart home, low-resource gadgets benefit from a centralised management that all incoming and outgoing requests are processed while creating shared keys for communication. By creating an overlay network where high resource devices collaborate to jointly run a public BC that provides end-to-end privacy and security, LSB enables decentralisation. To cut costs, the overlay is divided into various clusters, and each cluster leader is in charge of overseeing the public BC. LSB uses a number of optimisations, such as lightweight consensus, distributed trust, and throughput management techniques. Qualitative justifications show that LSB is resistant to various security assaults. Numerous simulations demonstrate that LSB improves BC scalability and reduces packet cost and latency when compared to comparable baselines.
Files
Sensor-Chain A Scalable and Lightweight Blockchain Framework for the.pdf
Additional details
References
- 1. Yiyang, C., & Takashio, K. (2022, October). A Floating Calculation Revamp For the Ethereum Blockchain-Based IoT Systems. In 2022 IEEE 8th World Forum on Internet of Things (WF-IoT) (pp. 1-6). IEEE.
- 2. Zhou, J., Feng, G., & Wang, Y. (2021). Optimal deployment mechanism of blockchain in resource-constrained IoT systems. IEEE Internet of Things Journal, 9(11), 8168-8177.
- 3. Rodrigues, C. K. D. S., & Rocha, V. (2021). Towards blockchain for suitable efficiency and data integrity of IoT ecosystem transactions. IEEE Latin America Transactions, 19(7), 1199-1206.
- 4. Xu, C., Qu, Y., Luan, T. H., Eklund, P. W., Xiang, Y., & Gao, L. (2021). A lightweight and attack-proof bidirectional blockchain paradigm for Internet of Things. IEEE Internet of Things Journal, 9(6), 4371-4384.
- 5. Al Sadawi, A., Hassan, M. S., & Ndiaye, M. (2021). A survey on the integration of blockchain with IoT to enhance performance and eliminate challenges. IEEE Access, 9, 54478-54497.
- 6. Ashton, K. (2009). That 'internet of things' thing. RFID journal, 22(7), 97-114.
- 7. Nakamoto, S. (2008). Bitcoin: A peer-to-peer electronic cash system. Decentralized business review.
- 8. Franco, P. (2014). Understanding Bitcoin: Cryptography, engineering and economics. John Wiley & Sons.
- 9. Tang, Y., Tasnim, S., Pissinou, N., Iyengar, S. S., & Shahid, A. (2018, December). Reputation-aware data fusion and malicious participant detection in mobile crowdsensing. In 2018 IEEE International Conference on Big Data (Big Data) (pp. 4820-4828). IEEE.
- 10. Pan, J., Wang, J., Hester, A., Alqerm, I., Liu, Y., & Zhao, Y. (2018). EdgeChain: An edge-IoT framework and prototype based on blockchain and smart contracts. IEEE Internet of Things Journal, 6(3), 4719-4732.