Trusted Mobile Edge Computing: DAG Blockchain-Aided Trust Management and Resource Allocation

• Published in: IEEE transactions on wireless communications Vol. 23; no. 5; pp. 5006 - 5018
• Main Authors: Yang, Weiwei, Shi, Long, Liang, Hui, Zhang, Wei
• Format: Journal Article
• Language: English
• Published: New York IEEE 01-05-2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Blockchain; Blockchains; Cryptography; Cybersecurity; DAG blockchain; Delay; Delays; distributed trust management mechanism; Edge computing; Internet of Things; MEC; Mobile computing; Network latency; Nodes; Resource allocation; Resource management; Security; Task analysis; Trust; Trust management; Trustworthiness
• ISSN: 1536-1276; 1558-2248
• DOI: 10.1109/TWC.2023.3323974

The integration of directed acyclic graph (DAG) blockchain and mobile edge computing (MEC) has emerged as a promising means to enable computation-intensive, delay-sensitive, and secure task execution in Internet of Things (IoT) applications. However, off-chain task execution results are not credible even if the results have been recorded on the chain, since blockchain cannot extend the trust of on-chain data to off-chain. To make the off-chain and on-chain trust consistent, we first develop a trusted MEC (T-MEC) framework by employing a DAG blockchain-aided decentralized trust management (DAG-DTM) mechanism. Specifically, DAG-DTM evaluates the off-chain trust of edge nodes according to the quality of task execution results, and the trust can be further verified off the chain by any edge node under the same trust management rule. Moreover, the approval time for recording the execution result of the edge node on the chain is positively correlated with the verified off-chain trust, which can further promote on-chain transaction security of trusted edge node. Second, we jointly optimize the bandwidth and computation resource allocation to minimize the system latency that consists of off-chain task execution delay and on-chain transaction confirmation delay. Numerical results compare system latency and security performance between the optimized T-MEC and the benchmark schemes. In particular, the optimized T-MEC can achieve a 33.12% gain of computation delay and a 10.19% gain of system latency at an affordable cost of transaction confirmation delay (i.e., 3.21%) over T-MEC, while meeting the requirements of off-chain task execution latency and on-chain transaction security simultaneously.