A scalable blockchain based framework for efficient IoT data management using lightweight consensus

Area of Science:

• Computer Science
• Network Security
• Distributed Systems

Background:

• Blockchain technology offers security solutions for Internet of Things (IoT) networks.
• Existing blockchain solutions face scalability challenges due to the large number of IoT devices and data volume.
• Resource constraints in IoT networks limit the applicability of traditional consensus mechanisms.

Purpose of the Study:

• To propose a scalable blockchain-based framework for managing IoT data.
• To address the scalability and efficiency issues in blockchain-based IoT networks.
• To enhance performance in resource-constrained IoT environments.

Main Methods:

• Utilized the Delegated Proof of Stake (DPoS) consensus algorithm for lightweight transaction validation.
• Implemented an Interplanetary File System (IPFS) for distributed data storage.
• Employed Docker for network performance evaluation (throughput, latency, resource utilization).

Main Results:

• The proposed framework demonstrated low latency, measuring less than 0.976 ms.
• Achieved superior performance compared to Proof of Stake (PoS) consensus.
• Empirical findings validated efficient throughput, latency, and resource utilization.

Conclusions:

• The DPoS-based framework provides a scalable and efficient solution for IoT data management.
• The proposed approach is well-suited for IoT applications demanding low latency and resource efficiency.
• This research contributes to overcoming blockchain scalability limitations in IoT ecosystems.