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| 1 | 面向边缘计算的制造资源感知接入与智能网关技术研究显示文摘针对云端智能制造与智慧服务系统应用中面临的大量异构制造设备资源感知接入困难、数据分析时延大等问题,分析探讨了面向边缘计算的制造资源感知接入特点、应用场景及接入模型构建方法;研究开发了边缘智能网关软件系统,设计了云边协同服务架构,实现了多种通信协议支持、数据采集分发、应用管理与安全防护等功能。分析了云边协同服务模式下边缘节点智能网关的重要作用与任务,结合复杂装备智能制造样板间生产线与虚拟工厂应用系统,实现了制造资源感知接入技术、边缘智能网关功能验证与应用示范。 | 邹萍 张华 马凯蒂 程仕通 | 2020 | 计算机集成制造系统2020，26，1： | 28 |
| 2 | SG-Edge:电力物联网可信边缘计算框架关键技术显示文摘随着国家电网电力物联网的逐步推进,作为其核心支撑技术的边缘计算框架逐渐成为研究热点.首先,总结了物联网和边缘计算框架方面的已有研究工作;其次,通过分析电力物联网在业务场景、边缘计算、信息安全等方面的关键技术难题,提出了一种适应于电力物联网的可信边缘计算框架SG-Edge;随后,结合边缘框架的可信防护关键难题,给出了硬件可信引导、软件行为动态度量等关键技术方法;最后,从业务适应性、安全性以及性能等方面对SG-Edge进行了全面评估,并对未来研究可能面临的挑战进行了展望. | 杨维永 刘苇 崔恒志 魏兴慎 黄皓 廖鹏 钱柱中 王元强 | 2022 | 软件学报2022，33，2： | 11 |
| 3 | Unintentional forking analysis in wireless blockchain networks显示文摘The forking problem plays a key role in the security issue,which is a major concern in the blockchain system.Although many works studied the attack strategy,consensus mechanism,privacy-protecting and security performance analysis,most of them only address the intentional forking caused by a malicious attacker.In fact,without any attacker,unintentional forking still remains due to transmission delay and failure,especially in wireless network scenarios.To this end,this paper investigates the reason for generating unintentional forking and derives the forking probability expression in Wireless Blockchain Networks(WBN).Furthermore,in order to illustrate the unintentional forking on the blockchain system,the performances in terms of resource utilization rate,block generation time,and Transaction Per Second(TPS)are investigated.The numerical results show that the target difficulty of hash algorithm in generating a new block,the delay time of broadcasting,the network scale,and the transmission failure probability would affect the unintentional forking probability significantly,which can provide a reliable basis for avoiding forking to save resource consumption and improving system performance. | Qilie Liu Yinyi Xu Bin Cao Lei Zhang Mugen Peng | 2021 | Digital Communications and Networks2021，7，3： | 3 |
| 4 | 高速公路中的移动边缘计算研究显示文摘中国高速公路的建设使得目前在公路侧出现了大量计算设备,为在高速公路场景中使用移动边缘计算技术提供了可能。移动边缘计算能够在高速为车辆提供低延时、高带宽和可靠的计算服务,是实现交通智能化的重要手段。考虑到高速公路的特殊环境,文中研究了任务卸载和资源调度等关键技术并结合5G,建立了面向高速公路行车任务的移动边缘计算模型。针对不同种类的计算任务,设计了有效的任务卸载策略,提出一种动态融合的调度策略以实现高效的合理的资源调度,该策略结合了遗传算法和蚁群算法。为验证该模型的有效性,使用负载均衡度作为性能指标对其进行仿真实验。实验结果表明,该算法与同类算法相比能够有效减小负载差异,降低计算成本。 | 宋海宁 焦健 刘永 | 2021 | 计算机科学2021，48，S01： | 3 |
| 5 | 基于云边融合的指挥信息系统探讨显示文摘指挥信息系统是情报信息收集、辅助指挥决策、收发作战指令的重要工具。为了应对未来信息化战争提出的新挑战,本文提出了基于云边融合的指挥信息系统这一构想,利用云计算、边缘计算等技术构建由云中心-边缘域-终端节点组成的新型指挥信息系统,并对其功能特点及未来发展趋势进行探讨。 | 张洪瑞 王青海 杜家兴 | 2020 | 信息技术与信息化2020，，9： | 1 |
| 6 | Mobility-driven user-centric AP clustering in mobile edge computing-based ultra-dense networks显示文摘ultra-Dense Network(UDN)has been envisioned as a promising technology to provide high-quality wireless connectivity in dense urban areas,in which the density of Access Points(APs)is increased up to the point where it is comparable with or surpasses the density of active mobile users.In order to mitigate inter-AP interference and improve spectrum efficiency,APs in UDNs are usually clustered into multiple groups to serve different mobile users,respectively.However,as the number of APs increases,the computational capability within an AP group has become the bottleneck of AP clustering.In this paper,we first propose a novel UDN architecture based on Mobile Edge Computing(MEC),in which each MEC server is associated with a user-centric AP cluster to act as a mobile agent.In addition,in the context of MEC-based UDN,we leverage mobility prediction techniques to achieve a dynamic AP clustering scheme,in which the cluster structure can automatically adapt to the dynamic distribution of user traffic in a specific area.Simulation results show that the proposed scheme can highly increase the average user throughput compared with the baseline algorithm using max-SINR user association and equal bandwidth allocation,while it guarantees at the same time low transmission delay. | Shuxin He Tianyu Wang Shaowei Wang | 2020 | Digital Communications and Networks2020，6，2： | 1 |
| 7 | 云、边缘和雾计算安全性研究综述显示文摘随着云计算技术在学术界与工业界的快速发展和广泛应用,云计算领域中的信息安全和隐私问题成为当前研究的热点。从云计算到边缘计算再到雾计算,不同的计算范式形成各自独特的计算生态系统,这些系统具有不同体系结构、信息存储和处理能力。由于不同的计算生态系统具有一定的异质性,使得多样性计算在信息安全和隐私保护方面仍面临着诸多挑战性的问题。介绍了云、边缘和雾计算3种范式的背景知识以及它们之间的相似性与差异性,3种范式各自在信息安全和隐私保护方面的相关技术及其特征;综述了3种范式在信息安全以及隐私威胁方面所面临的挑战,总结了不同的安全部署与隐私机制以解决此类挑战。确定了信息安全与隐私机制的部署缺陷是由多样性计算的异质性所导致,融合不同的信息安全部署技术可以进一步加强信息的安全性与隐私性。 | 冉黎琼 翁越男 徐小玲 宋海权 陈金勇 高林 吴凌淳 陈琴 徐康镭 | 2023 | 无线电工程2023，53，2： | 1 |
| 8 | Adaptive delay-energy balanced partial offloading strategy in Mobile Edge Computing networks显示文摘Mobile Edge Computing(MEC)-based computation offloading is a promising application paradigm for serving large numbers of users with various delay and energy requirements.In this paper,we propose a flexible MECbased requirement-adaptive partial offloading model to accommodate each user's specific preference regarding delay and energy consumption.To address the dimensional differences between time and energy,we introduce two normalized parameters and then derive the computational overhead of processing tasks.Different from existing works,this paper considers practical variations in the user request patterns,and exploits a flexible partial offloading mode to minimize computation overheads subject to tolerable delay,task workload and power constraints.Since the resulting problem is non-convex,we decouple it into two convex subproblems and present an iterative algorithm to obtain a feasible offloading solution.Numerical experiments show that our proposed scheme achieves a significant improvement in computation overheads compared with existing schemes. | Shumei Liu Yao Yu Lei Guo Phee Lep Yeoh Branka Vucetic Yonghui Li | 2023 | Digital Communications and Networks2023，9，6： | 0 |
| 9 | 适用于物联网安全的机器学习方法综述显示文摘物联网已成为重要的网络范式,并且有许多智能设备通过物联网连接。尽管如此,要完全实现物联网愿景仍然存在许多障碍,其中安全和隐私较为关键。确保物联网中的安全和隐私特别复杂,尤其是对于能源供应有限和计算能力低下的资源受限设备而言。机器学习作为另一个重要领域,在计算机视觉、计算机图形学、自然语言处理、语音识别、决策和智能控制等方面均有应用。本文对机器学习在物联网安全中的应用进行了概述。首先对物联网设备及其安全问题进行介绍,然后提供了全面的调查,重点介绍了适用于物联网安全的机器学习技术的最新进展,并描述了各种物联网应用。此外,还讨论了研究挑战和未解决的问题。 | 车欣 | 2023 | 人工智能2023，，4： | 0 |
| 10 | Towards a next-generation production system for industrial robots: A CPS-based hybrid architecture for smart assembly shop floors with closed-loop dynamic cyber physical interactions显示文摘Given the multiple varieties and small batches,the production of industrial robots faces the ongoing challenges of flexibility,self-organization,self-configuration,and other“smart”requirements.Recently,cyber physical systems have provided a promising solution for the requirements mentioned above.Despite recent progress,some critical issues have not been fully addressed at the shop floor level,including dynamic reorganization and reconfiguration,ubiquitous networking,and time constrained computing.Toward the next generation production system for industrial robots,this study proposed a hybrid architecture for smart assembly shop floors with closed-loop dynamic cyber physical interactions.Aiming for dynamic reorganization and reconfiguration,the study also proposed modularized smart assembly units for the deployment of physical assembly processes.Enabling technologies,such as multiagent system(MAS),self-organized wireless sensor actuator networks,and edge computing,were discussed and then integrated into the proposed architecture.Furthermore,a multijoint robot assembly process was selected as a target scenario.Thus,an MAS was developed to simulate the coordination and negotiation mechanisms for the proposed architecture on the basis of the Java Agent Development Framework platform. | Qingmeng TAN Yifei TONG Shaofeng WU Dongbo LI | 2020 | Frontiers of Mechanical Engineering2020，15，1： | 0 |
| 11 | 移动边缘计算的系统架构和关键技术分析显示文摘随着移动互联网和物联网应用的快速发展,传统的集中式云计算遇到了严峻的挑战,例如高延迟、低频谱效率和非自适应机器类型的通信。为了解决这些挑战,新技术正在推动将集中式云计算功能转移到网络边缘设备。移动边缘计算被认为是物联网和任务关键型、垂直解决方案的关键推动因素,被公认为是一种关键的架构概念和技术之一。文章讨论分析了移动边缘计算的系统架构和关键技术。 | 董春利 王莉 | 2019 | 无线互联科技2019，16，13： | 0 |
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