Authors: Saurabh Jain; Adarsh Kumar
Addresses: Department of Systemics, School of Computer Science, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India ' Department of Systemics, School of Computer Science, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India
Abstract: In recent times, blockchain has encouraged innovations to handle challenges in many practical applications in which traditional approaches are not found to be successful. This work has proposed a game theory-based approach for consensus building in a distributed network. In this work, the wearable kidney model is analysed to understand the working of the game-theory-based consensus model. The lightweight consensus algorithm consumes fewer resources (suitable for resource constraint devices) and provides an efficient solution to simulate the functionality of a wearable kidney model. The comparative analysis of the result shows that the proposed approach is efficient in fast bit-matching and quick consensus establishment and the kidney blood and urine production are mapped to almost ideal conditions, and variations in delay for bit-matching and algorithm executions are evaluated after that. The comparative analysis shows that algorithm 1 outperforms (at least 2.1%) algorithm 2 in delay analysis because of less distributed functionality.
Keywords: blockchain; consensus protocols; healthcare; game theory; cryptocurrency; hashing; security; distributed ledger; transactions; bit-exchange; attacks.
International Journal of Grid and Utility Computing, 2022 Vol.13 No.5, pp.505 - 525
Received: 10 Apr 2020
Accepted: 23 Dec 2020
Published online: 14 Oct 2022 *