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Blockchain-Based Reliable Fog-Cloud Service Solution for IIoT

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Chinese Journal of Electronics 2021年第2期30卷 359-366页

作者： DAI Meiling XU Siya shao sujie GUO shaoyong QIU Xuesong XIONG Ao State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications

Industrial Internet of things(IIoT) deploys a large number of smart devices to obtain industrial data, which will be transmitted to cloud for analysis to improve industrial productivity. The management of large-scale devices is complicated, and it's also a challenge to choose a high-quality cloud service for data analysis as the number of service with similar functions increases. To address these issues, we propose a reliable fog-cloud service solution with blockchain-based fog-cloud architecture. In fog layer, we build a management blockchain between fog servers and design a management method for industrial devices; In cloud layer, we construct a service blockchain between cloud service providers to form an open "service market". Quality of service and reputation based matching algorithm and reputation-based consensus algorithm are designed. The simulation results show correctness and efficiency of algorithms, and validate effectiveness of our proposed solution.

关键词： industrial data management blockchain management method large-scale devices reputation-based consensus algorithm data analysis industrial productivity IIoT smart devices industrial devices open service market fog layer matching algorithm cloud computing cloud service providers service blockchain cloud layer high-quality cloud service fog servers fog blockchain-based reliable fog-cloud service solution blockchain-based fog-cloud architecture

WiFi6 Dynamic Channel Optimization Method for Fault Tolerance in Power Communication Network

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Computers, Materials & Continua 2023年第6期75卷 5501-5519页

作者： Hong Zhu Lisha Gao Lei Wei Guangchang Yang sujie shao Nanjing Power Supply Branch State Grid Jiangsu Electric Power Co.Nanjing210000China State Key Laboratory of Networking and Switching Technology Beijing University of Posts and TelecommunicationsBeijing100876China

As the scale of power networks has expanded,the demand for multi-service transmission has gradually *** emergence of WiFi6 has improved the transmission efficiency and resource utilization of wireless ***,it still cannot cope with situations such as wireless access point(AP)*** solve this problem,this paper combines orthogonal fre-quency division multiple access(OFDMA)technology and dynamic channel optimization technology to design a fault-tolerant WiFi6 dynamic resource optimization method for achieving high quality wireless services in a wirelessly covered network even when an AP ***,under the premise of AP layout with strong coverage over the whole area,a faulty AP determination method based on beacon frames(BF)is ***,the maximum signal-to-interference ratio(SINR)is used as the principle to select AP reconnection for the affected ***,this paper designs a dynamic access selection model(DASM)for service frames of power Internet of Things(IoTs)and a schedul-ing access optimization model(SAO-MF)based on multi-frame transmission,which enables access optimization for differentiated *** the above mechanisms,a heuristic resource allocation algorithm is proposed in *** results show that the method can reduce the delay by 15%and improve the throughput by 55%,ensuring high-quality communication in power wireless networks.

关键词： WiFi6 OFDMA fault tolerance dynamic channel optimization cross-slot scheduling access

Traffic Scheduling Mechanism Based on Interference Avoidance for Meter Data Collection in Wireless Smart Grid Communication Networks

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China Communications 2015年第7期12卷 142-153页

作者： shao sujie GUO shaoyong QIU Xuesong MENG Luoming LEI Min State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing 100876 China Information Security Center Beijing University of Posts and Telecommunications Beijing 100876 China National Engineering Laboratory for Disaster Backup and Recovery Beijing 100876 China Nanjing University of Information Science & Technology (NUIST) Nanjing 210044 China

Meter Data Collection Building Area Network(MDCBAN) deployed in high rises is playing an increasingly important role in wireless multi-hop smart grid meter data collection. Recently, increasingly numerous application layer data traffic makes MDCBAN be facing serious communication pressure. In addition, large density of meter data collection devices scattered in the limited geographical space of high rises results in obvious communication interference. To solve these problems, a traffic scheduling mechanism based on interference avoidance for meter data collection in MDCBAN is proposed. Firstly, the characteristics of network topology are analyzed and the corresponding traffic distribution model is proposed. Next, a wireless multi-channel selection scheme for different Floor Gateways and a single-channel time unit assignment scheme for data collection devices in the same Floor Network are proposed to avoid interference. At last, a data balanced traffic scheduling algorithm is proposed. Simulation results show that balanced traffic distribution and highly efficient and reliable data transmission can be achieved on the basis of effective interference avoidance between data collection devices.

关键词： smart grid communication meter data collection traffic scheduling interference avoidance building area network

Area-Based Connected Dominating Set Construction and Maintenance Algorithm in Ubiquitous Stub Environment

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China Communications 2015年第9期12卷 141-149页

作者： Guo shaoyong Xing Ningzhe Fu Ning shao sujie You Fucheng State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications School of Electronic and Information Engineering Beijing Jiaotong University Beijing Guo Dian Tong Networking Technology Company Limited Information Engineering School of Beijing Institute of Graphic Communication

In order to construct and maintain stability Connected Dominating Set over MANET in Ubiquitous Stub Network, this paper proposes a novel area-based CDS construction and maintenance algorithm. The algorithm is divided into three phases: 1) Area Partition; 2) Area Expansion; 3) Area Connection. In additional, maintenance strategy is proposed in each phase respectively to handle node mobility with timer. At last, the simulation is implemented with OPNET and MATLAB and the results are analyzed in detailed with Size of CDS, Message Overhead and other indexes.

关键词： connected dominating set ubiquitous stub network timer MANET

Liveness detection of occluded face based on dual-modality convolutional neural network

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The Journal of China Universities of Posts and Telecommunications 2021年第4期28卷 1-12页

作者： Ming Yue Li Wenmin Xu Siya Gao Lifang Zhang Hua shao sujie Yang Huifeng State Key Laboratory of Networking and Switching Technology Beijing University of Posts and TelecommunicationsBeijing 100876China State Grid Hebei Information and Telecommunication Branch Shijiazhuang 050013China

Facial recognition has become the most common identity authentication technologies. However, problems such as uneven light and occluded faces have increased the hardness of liveness detection. Nevertheless, there are a few pieces of research on face liveness detection under occlusion conditions. This paper designs a face recognition technique suitable for different degrees of facial occlusion, which employs the facial datasets of near-infrared(NIR) images and visible(VIS) light images to examine the single-modality detection accuracy rate(experimental control group) and the corresponding high-dimensional features through the residual network(ResNet). Based on the idea of data fusion, we propose two feature fusion methods. The two methods extract and fuse the data of one and two convolutional layers from two single-modality detectors respectively. The fusion of high-dimensional features apply a new ResNet to get the dual-modality detection accuracy. And then, a new ResNet is applied to test the accuracy of dual-modality detection. The experimental results show that the dual-modality face liveness detection model improves face live detection accuracy and robustness compared with the single-modality. The fusion of two-layer features from the single-modality detector can also improve face detection accuracy by utilizing the above-mentioned dual-modality detector, and it doesn’t increase the algorithm’s complexity.

关键词： face deception face occlusion near-infrared image residual network feature fusion

Delay and Energy Consumption Oriented UAV Inspection Business Collaboration Computing Mechanism in Edge Computing Based Electric Power IoT

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Chinese Journal of Electronics 2023年第1期32卷 13-25页

作者： shao sujie LI Yi GUO shaoyong WANG Chenhui CHEN Xingyu QIU Xuesong State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Blockchain Research Department China Electronics Standardization Institute

With the development of Internet of things(IoT) technology and smart grid infrastructure,edge computing has become an effective solution to meet the delay requirements of the electric power IoT. Due to the limitation of battery capacity and data transmission mode of IoT terminals, the business collaboration computing must consider the energy consumption of the terminals. Since delay and energy consumption are the optimization goals of two co-directional changes, it is difficult to find a business collaboration computing mechanism that simultaneously minimizes delay and energy *** paper takes the unmanned aerial vehicle(UAV) inspection business scenario in the electric power IoT based on edge computing as the representative, and proposes a two-stage business collaboration computing mechanism including resources allocation and task allocation to optimize the business delay and energy consumption of UAV by decoupling the complex correlation between resource allocation and task allocation. A steepest descent resource allocation algorithm is proposed. On the basis of resource allocation, an improved multiobjective evolutionary algorithm based on decomposition by dynamically adjusting the size of neighborhood and the cross distribution index is proposed as a task allocation algorithm to minimize energy consumption and business delay. Simulation results show that our algorithms can respectively reduce the business delay and energy consumption by more than6.4% and 9.5% compared with other algorithms.

关键词： Energy consumption Heuristic algorithms Collaboration Autonomous aerial vehicles Delays Power systems Resource management

面向多工作流的基于容器的边缘微服务选择机制

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电子与信息学报 2022年第11期44卷 3748-3756页

作者：邵苏杰吴磊钟成郭少勇卜宪德北京邮电大学网络与交换技术国家重点实验室北京100876 国网河北省电力有限公司雄安新区供电公司雄安071600 国网智能电网研究院有限公司南京210003

边缘计算已经成为物联网(IOT)的有效解决方案,微服务模型将物联网应用程序划分为一组松散耦合、相互依赖的细粒度微服务。由于边缘节点资源有限,并发请求争夺容器实例,如何在移动边缘计算环境下为复杂工作流应用的并发请求生成合适的微... 详细信息

边缘计算已经成为物联网(IOT)的有效解决方案,微服务模型将物联网应用程序划分为一组松散耦合、相互依赖的细粒度微服务。由于边缘节点资源有限,并发请求争夺容器实例,如何在移动边缘计算环境下为复杂工作流应用的并发请求生成合适的微服务执行方案是一个需要解决的重要问题。为此,该文首先建立了基于容器的微服务选择架构,并构建了服务时延模型和网络资源消耗模型,以减少平均延迟和网络消耗。其次,提出一种基于优先级机制和改进蚁群的微服务选择算法(MS-PAC),利用任务截止时间优先分配紧急任务以保证延迟,并利用蚁群算法的信息素机制寻找全局最优解。实验表明,该算法能有效地降低平均时延和网络消耗。

关键词：微服务选择边缘计算容器调度工作流网络资源消耗

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特征关联的服务功能链可靠性优化算法

电讯技术 2024年第1期64卷 83-90页

作者：张顺利邵苏杰晋中学院信息技术与工程系山西晋中030619 北京邮电大学计算机学院北京100876

针对优化服务功能链(Service Function Chain,SFC)可靠性时资源利用率低的问题,提出了特征关联的服务功能链可靠性优化算法。首先,从底层节点的资源可用率、周边资源密集度、全网中心性评价其作为虚拟网络功能(Virtual Network Function... 详细信息

针对优化服务功能链(Service Function Chain,SFC)可靠性时资源利用率低的问题,提出了特征关联的服务功能链可靠性优化算法。首先,从底层节点的资源可用率、周边资源密集度、全网中心性评价其作为虚拟网络功能(Virtual Network Function,VNF)实例备选节点的优势,从VNF实例的节点度数与带宽流量评价其作为备选对象的优势。其次,逐个对优越性最高的VNF实例选择备份底层节点,直到所有SFC的可靠性满足客户要求。在为VNF实例选择备份底层节点时,提出了基于资源特征关联感知的备份节点选择算法,将当前VNF实例所映射的底层节点与其他待备份VNF实例的底层节点的邻接节点进行关联,为当前VNF实例选择最优备份底层节点的同时,减少为其他待备份VNF实例选择备份底层节点时链路的开销。仿真结果表明,相比于已有算法,该SFC可靠性优化算法下备份实例数降低了约29%,备份带宽资源消耗降低了约42%,SFC接受率提升了约12%。

关键词：网络功能虚拟化(VNF) 服务功能链(SFC) 服务可靠性资源备份特征关联

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面向动态环境的虚拟光网络资源优化算法

电讯技术 2024年第3期64卷 409-415页

作者：张顺利邵苏杰晋中学院信息技术与工程系山西晋中030619 北京邮电大学计算机学院北京100876

为解决采用单个虚拟网特征重配置导致虚拟网接受率低的问题,基于资源竞争特征重构底层网络模型,并基于此构建虚拟网映射线性规划模型。设计了无划分的随机舍入优化算法和有划分的随机舍入优化算法,为每个虚拟网分配全局最优的底层网络... 详细信息

为解决采用单个虚拟网特征重配置导致虚拟网接受率低的问题,基于资源竞争特征重构底层网络模型,并基于此构建虚拟网映射线性规划模型。设计了无划分的随机舍入优化算法和有划分的随机舍入优化算法,为每个虚拟网分配全局最优的底层网络资源。与现有算法相比,该算法下虚拟网请求的平均接受率提升11%,节点资源平均利用率提升61%,链路资源平均利用率提升27%。

关键词：虚拟光网络虚拟网底层网络资源分配