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.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.