Intelligent Block Assignment for Blockchain Based Wireless IoT Systems

Zhou, J., Feng, G., Sun, Y. and Luo, H. (2020) Intelligent Block Assignment for Blockchain Based Wireless IoT Systems. In: 54th IEEE International Conference on Communications (ICC), Dublin, Ireland, 7-11 June 2020, ISBN 9781728150901 (doi: 10.1109/ICC40277.2020.9149394)

213666.pdf - Accepted Version



In legacy blockchain based systems, each involved node has to store a complete blockchain to ensure the system security without any central authoritative controller. However, it is usually impossible for a wireless IoT node to store a complete blockchain, especially for those simple sensor nodes without sufficient storage and computing resources. In this paper, we propose a block assignment scheme for blockchain based wireless IoT systems with aim to tackle the blockchain storage problem. Specifically, we propose to maintain a complete blockchain by a set of IoT nodes in a collaborative way on the premise of ensuring that each node can check every transaction. On the other hand, we should save the storage space of IoT nodes to the greatest extent for saving more blocks so as to maximize the lifetime of IoT nodes. We formulate this optimal block assignment problem as a 0-1 mixed integer-programming problem. We propose to incorporate Chaotic optimized algorithm into Genetic algorithm to provide an efficient near-optimal solution. Compared with the brute-force and conventional Genetic algorithms, our proposed algorithm can achieve the minimum storage occupancy to store blocks. Meanwhile, the proposed algorithm has the lowest computational complexity.

Item Type:Conference Proceedings
Additional Information:This work was supported by the Ministry of Education of China, Chunhui Project under Grant number 192618, the National Science Foundation of China under Grant number 61871099 and 61631004, and the Fundamental Research Funds for the Central Universities under Grant number ZYGX2019J122.
Glasgow Author(s) Enlighten ID:Sun, Dr Yao and Feng, Professor Gang
Authors: Zhou, J., Feng, G., Sun, Y., and Luo, H.
College/School:College of Science and Engineering > School of Engineering
Copyright Holders:Copyright © 2020 IEEE
First Published:First published in Proceedings of ICC 2020 - 2020 IEEE International Conference on Communications (ICC)
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

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