Blockchain-Enabled M2M Communications for UAV-Assisted Data Transmission

Abdulaziz Aldaej (), Tariq Ahamed Ahanger and Imdad Ullah
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Abdulaziz Aldaej: College of Computer Engineering and Sciences, Prince Sattam bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia
Tariq Ahamed Ahanger: Management Information Systems Department, College of Business Administration, Prince Sattam bin Abdulaziz University, Al-Kharj 16278, Saudi Arabia
Imdad Ullah: College of Computer Engineering and Sciences, Prince Sattam bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia

Mathematics, 2023, vol. 11, issue 10, 1-17

Abstract: Internet of Things (IoT) technology has uncovered a wide range of possibilities in several industrial sectors where smart devices are capable of exchanging real-time data. Machine-to-machine (M2M) data exchange provides a new method for connecting and exchanging data among machine-oriented communication entities (MOCE). Conspicuously, network services will be severely affected if the underneath IoT infrastructure is disrupted. Moreover, it is difficult for MOCEs to re-establish connectivity automatically. Conspicuously, in the current paper, an analysis is performed regarding potential technologies including unmanned aerial vehicles, blockchain, and mobile edge computing (MEC) that can enable the secure establishment of M2M communications networks that have been compromised to maintain the secure transmissible data. Furthermore, a Markov decision process-based joint optimization approach is proposed for blockchain systems that aims to elevate computational power and performance. Additionally, the dueling deep Q-network (DDQ) is incorporated to address the dynamic and complex optimization issue so that UAV selection is ensured to maximize performance. The results of experimental simulation with several statistical attributes suggest that the proposed framework can increase throughput optimally in comparison to state-of-the-art techniques. Additionally, a performance measure of reliability and stability depicts significant enhancement for the proposed framework.

Keywords: unmanned aerial vehicle; blockchain; security; internet of things (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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