Design and Optimization in MEC-Based Intelligent Rail System by Integration of Distributed Multi-Hop Communication and Blockchain

Autor: Linlin Tian, Meng Li, Pengbo Si, Ruizhe Yang, Yang Sun, Zhuwei Wang
Rok vydání: 2023
Předmět:
Zdroj: Mathematical Problems in Engineering. 2023:1-11
ISSN: 1563-5147
1024-123X
DOI: 10.1155/2023/8858263
Popis: Mobile edge computing technology has emerged as a novel computing paradigm that makes use of resources close to the devices of the smart rail system. Nevertheless, it is difficult to support data offloading to the stations directly from different trains due to the limited coverage of the stations equipped with MEC servers. Therefore, multi-hop ad hoc network is considered and introduced in this case. In this paper, an improved architecture is proposed for the MEC-based smart rail system by blockchain and multi-hop data communication. The requesting trains can offload the tasks to MEC servers by multi-hop transmission between trains, even when requesting trains are not covered by servers. Furthermore, we utilize the blockchain technology for the authenticity and anti-falsification of information during multi-hop transmission. Then, the offloading routing path and offloading strategy are co-optimized to minimize both delay and cost of the system. The proposed majorization problem is formulated as a Markov decision process (MDP) and solved by deep reinforcement learning (DRL). In comparison to other existing schemes, simulation results demonstrate that the proposed scheme can greatly improve system performance.
Databáze: OpenAIRE
Externí odkaz:
Nepřihlášeným uživatelům se plný text nezobrazuje