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Deep Reinforcement Learning Based Joint Edge Resource Management in maritime network

China Communications 2020年第5期17卷 211-222页

作者： Fangmin Xu Fan Yang Chenglin Zhao Sheng Wu School of Information and Communication Engineering Beijing University of Posts and TelecommunicationsBeijing 100876China

Due to the rapid development of the maritime networks, there has been a growing demand for computation-intensive applications which have various energy consumption, transmission bandwidth and computing latency requirements. Mobile edge computing(MEC) can efficiently minimize computational latency by offloading computation tasks by the terrestrial access network. In this work, we introduce a space-air-ground-sea integrated network architecture with edge and cloud computing components to provide flexible hybrid computing service for maritime service. In the integrated network, satellites and unmanned aerial vehicles(UAVs) provide the users with edge computing services and network access. Based on the architecture, the joint communication and computation resource allocation problem is modelled as a complex decision process, and a deep reinforcement learning based solution is designed to solve the complex optimization problem. Finally, numerical results verify that the proposed approach can improve the communication and computing efficiency greatly.

关键词： maritime network edge computing computation offload computation latency reinforcement learning deep learning

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Location privacy protection of maritime mobile terminals

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Digital Communications and networks 2022年第6期8卷 932-941页

作者： Xin Su Su Jiang Dongmin Choi College of IOT Engineering Hohai UniversityChangzhou213022China Division of Undeclared Majors Chosun UniversityRepublic of Korea

Mobile Edge Computing(MEC)can support various high-reliability and low-delay applications in maritime networks(MNs).However,security risks in computing task offloading *** this study,the location privacy leakage risk of maritime Mobile Terminals(MMTs)is quantified during task offloading and relevant Location Privacy Protection(LPP)schemes of MMT are considered under two kinds of task offloading *** single-MMT and single-time offloading scenario,a dynamic cache and spatial cloaking-based LPP(DS-CLP)algorithm is proposed;and under the multi-MMTs and multi-time offloading scenario,a pseudonym and alterable silent period-based LPP(PA-SLP)strategy is *** results show that the DS-CLP can save the response time and communication cost compared with traditional algorithms while protecting the MMT location ***,extending the alterable silent period,increasing the number of MMTs in the maritime area or improving the pseudonym update probability can enhance the LPP effect of MMTs in ***,the study results can be effectively applied to MNs with poor communication environments and relatively insufficient computing resources.

关键词： Location privacy protection maritime network Mobile edge computing Task floading

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China's Global Shipping Connectivity:Internal and External Dynamics in the Contemporary Era(1890–2016)

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Chinese Geographical Science 2018年第2期28卷 202-216页

作者： Cesar DUCRUET WANG Liehui French National Center for Scientific Research UMR 8504 Geographie-citesParis F-75006France The Center for Modern Chinese City Studies East China Normal UniversityShanghai 200062China School of Urban and Regional Science East China Normal UniversityShanghai 200241China

China's global shipping connectivity had been somewhat overlooked as the bulk of related studies predominantly focused on the throughput volume of its own port cities. This article tackles such lacunae by providing a relational perspective based on the extraction of vessel movement archives from the Lloyd's List corpus. Two complementary analyses are proposed: long-term dynamics with all ships included(1890–2008) and medium-term dynamics focusing on container flows(1978–2016). Each analysis examines China's maritime connectivity in various ways and on different spatial scales, from the global to the local, in terms of concentration, vulnerability, and expansion. The main results underline the influence of technological, economic, and political factors on the changing distribution of connectivity internally and externally. In particular, China has managed to reduce its dependence upon external transit hubs, to increase the internal connectivity of its own port system, and to strengthen its dominance towards an increasing number of foreign nodes and trade partners through the maritime network.

关键词： China connectivity maritime network port system vessel movements

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