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LANDMARC Localization Algorithm Based on Weight Optimization

Chinese Journal of Electronics 2018年第6期27卷 1291-1296页

作者： HU Bing PENG Huijun SUN Zhixin Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Ministry of EducationNanjing University of Posts and Telecommunications

In order to solve the problem that the difference of Received signal strength(RSS) between tags will become large when tags are close to the reader, which exists in LANDMARC system, a LANDMARC localization algorithm based on weight optimization is proposed in the paper. We optimize the weight by redefining the formulas of in-weight and ex-weight. In-weight formula is discussed under the free space propagation model. The definition of ex-weight is obtained by analyzing the relationship between RSS and distance under the log-distance path loss model. We evaluate the performance of the proposed algorithm and compare it with the algorithm based on normalized weight. The simulation results show the superior performance of the proposed algorithm in terms of location accuracy.

关键词： Location identification based on dynamic active RFID calibration(LANDMARC) system Radio frequency identification(RFID) Indoor localization Weight optimization

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A Novel Shilling Attack Detection Model Based on Particle Filter and Gravitation

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China communications 2019年第10期16卷 112-132页

作者： Lingtao Qi Haiping Huang Feng Li Reza Malekian Ruchuan Wang College of Computer Nanjing University of Posts and TelecommunicationsNanjing 210003China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing 210003China “Broadband Wireless Communication and Sensor Network Technology”Key Lab of Ministry of Education NUPTNanjing 210003China College of Computer Science and Technology Nanjing University of Aeronautics and AstronauticsNanjing 210016China Department of Computer Science and Media Technology Malmo UniversityMalmo 20506Sweden

With the rapid development of e-commerce, the security issues of collab.rative filtering recommender systems have been widely investigated. Malicious users can benefit from injecting a great quantities of fake profiles into recommender systems to manipulate recommendation results. As one of the most important attack methods in recommender systems, the shilling attack has been paid considerable attention, especially to its model and the way to detect it. Among them, the loose version of Group Shilling Attack Generation Algorithm (GSAGenl) has outstanding performance. It can be immune to some PCC (Pearson Correlation Coefficient)-based detectors due to the nature of anti-Pearson correlation. In order to overcome the vulnerabilities caused by GSAGenl, a gravitation-based detection model (GBDM) is presented, integrated with a sophisticated gravitational detector and a decider. And meanwhile two new basic attributes and a particle filter algorithm are used for tracking prediction. And then, whether an attack occurs can be judged according to the law of universal gravitation in decision-making. The detection performances of GBDM, HHT-SVM, UnRAP, AP-UnRAP Semi-SAD,SVM-TIA and PCA-P are compared and evaluated. And simulation results show the effectiveness and availab.lity of GBDM.

关键词： shilling attack detection model collab.rative filtering recommender systems gravitation-based detection model particle filter algorithm

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Dynamic embedding and scheduling of virtual network service for future networks

Dynamic embedding and scheduling of virtual network service ...

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2019 IEEE International Conference on communications Workshops, ICC Workshops 2019

作者： Cao, Haotong Zhang, Yao Yang, Longxiang Key Lab of Broadband Wireless Communications and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (纸本)9781728123738

Software defined networking (SDN) and network function virtualization (NFV) are two most promising approaches for implementing the network virtualization. Traditional Internet will be transformed into SDN/NFV-enabled networks in the future. Through virtualization, the heterogeneous underlying resources enable to provide agile and customized virtual network (VN) services to end users. However, virtual network function (VNF) embedding and scheduling are crucial to the VN service deployment in the SDN/NFV-enabled networks. In this paper, dynamic VNF embedding and scheduling are jointly investigated for enhancing the VN service provisioning. At first, the VNF embedding and scheduling problem is formulated, using mixed integer linear programming (MILP) approach. Then, a dynamic VNF embedding and scheduling algorithm is proposed. For instance, when a new VN service is requested, the VNFs, constituting the service function chain (SFC) of the VN service, will be embedded and scheduled by the proposed algorithm. If the resource and QoS requirements of the VNFs are not satisfied, a re-embedding and re-scheduling scheme will be triggered. Certain VNFs will be re-embedded and re-scheduled. The dynamic embedding and scheduling have flexible network function placement and improves the underlying resource utilization. Finally, simulation results are illustrated. © 2019 IEEE.

关键词： network function virtualization

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Energy Efficiency Optimization in Heterogeneous networks Based on Deep Reinforcement Learning

Energy Efficiency Optimization in Heterogeneous Networks Bas...

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IEEE International Conference on communications Workshops, ICC

作者： Daoping Shi Feng Tian Shengchen Wu Key Lab of Broadband Wireless Communication and Sensor Network Technology (Nanjing Universityof Posts and Telecommunications) Ministry of Education Nanjing China Jiangsu Key Laboratory of Wireless Communications Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (数字)9781728174402

ISBN: (纸本)9781728174419

To meet the rapid increasing requirement of service and application of communication, heterogeneous wireless networks with the macrocell and the femtocells are considered in this paper. How to deal with resource allocation efficiently and dynamically in heterogeneous wireless networks puts forward to an urgent problem. In this paper, we aim to maximize the overall network's energy efficiency, where multiple femto base stations are randomly and densely distributed in the coverage of macro base station. We first construct an EE model and formulate the problem for optimization. Then we propose a Nature DQN algorithm in deep reinforcement learning to solve it with power discretization. Finally, in simulations, it demonstrates that the proposed Nature DQN can not only achieve better energy efficiency than Q-learning and water-filling but also accelerate the convergence.

关键词： Optimization Resource management Macrocell networks wireless networks Machine learning Femtocells Interference

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Direct measurement of the concurrence of hybrid entangled state based on parity check measurements

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Chinese Physics B 2019年第1期28卷 205-209页

作者： Man Zhang Lan Zhou Wei Zhong Yu-Bo Sheng Institute of Quantum Information and Technology Nanjing University of Posts and TelecommunicationsNanjing 210003China School of Science Nanjing University of Posts and TelecommunicationsNanjing 210003China Key Laboratory of Broadband Wireless Communication and Sensor Network Technology(Ministry of Education) Nanjing University of Posts and TelecommunicationsNanjing 210003China

The hybrid entangled state is widely discussed in quantum information processing. In this paper, we propose the first protocol to directly measure the concurrence of the hybrid entangled state. To complete the measurement, we design parity check measurements(PCMs) for both the single polarization qubit and the coherent state. In this protocol, we perform three rounds of PCMs. The results show that we can convert the concurrence into the success probability of picking up the correct states from the initial entangled states. This protocol only uses polarization beam splitters, beam splitters, and weak cross-Kerr nonlinearities, which is feasible for future experiments. This protocol may be useful in future quantum information processing.

关键词： hybrid entangled state quantum computation parity measurement concurrence

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SiamIRPN: Siamese Visual Tracking with Improved Region Proposal networks

SiamIRPN: Siamese Visual Tracking with Improved Region Propo...

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Frontiers of Robotics and Software Engineering (FRSE), International Conference on

作者： Dun Cao Renhua Dai Tianyu Zhao Fayez Alqahtani Amr Tolba R. Simon Sherratt Min Zhu School of Computer and Communications Engineering Changsha University of Science and Technology Changsha Hunan China Key Lab of Broadcast Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education Software Engineering Department College of Computer and Information Sciences King Saud University Riyadh Saudi Arabia Computer Science Department Community College King Saud University Riyadh Saudi Arabia School of Biomedical Engineering The University of Reading United Kingdom College of Information Science and Technology Zhejiang Shuren University Zhejiang China

Though introducing the Region Proposal network (RPN) from object detection enabled Siamese trackers’ success, RPN-based trackers still struggle in challenging scenarios. We posit that the reason comes from two major limitations of the introduced RPN, where one is that the external structure of the RPN is simple and straight, the other is that the internal components used in RPN cannot cope with complex scenes. In this paper, we propose an Improved RPN (IRPN) suitable for visual tracking. Externally, we place a Convolutional Block Attention Mechanism (CBAM) to the IRPN, and internally, we adopt the advanced component groups for the IPRN. Using multiple IRPN blocks and deep architecture, we propose a Siamese tracker (SiamIRPN) having a layer-wise structure. Comprehensive experiments and ablation studies on five benchmarks (VOT-2019, OTB100, UAV123, GOT-10k, and NFS) show our proposed SiamIRPN achieves competitive performance.

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Secrecy Outage Probability Analysis Based on Cognitive Decode-and-Forward Relaying

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Computers, Materials & Continua 2020年第3期62卷 1387-1395页

作者： Ruoyu Su Xiaojun Sun Fei Ding Dengyin Zhang Hongbo Zhu M.I.M.Wahab Jiangsu Key Laboratory of Wireless Communications Nanjing University of Posts and Tele-CommunicationsNanjing210003China Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Ministry of EducationNanjing University of Posts and TelecommunicationsNanjing210003China School of Information Science and Engineering Southeast UniversityNanjing210018China Department of Electrical and Computer Engineering Faculty of Engineering and Applied ScienceMemorial University of NewfoundlandSt.John’sA1B 3X5Canada Department of Mechanical and Industrial Engineering Ryerson UniversityToronto M5B 2K3Canada

wireless communications have to face to several different security issues in practice due to the nature of *** information theory is well known to provide efficient approaches to address security issues in wireless communications,which attracts much attention in both industry and academia in recent *** this paper,inspired by information theory,we study the outage probability of the opportunistic relay selection based on cognitive decode-and-forward relaying with the secrecy ***,the closed-form expression of the outage probability is ***,the asymptotic performance evaluation on the basis of the analytical results is *** simulation results show that the relay selection can reduce the outage probability in accordance with our theoretical analysis.

关键词： Secure communication average secrecy rate relay selection probability density function

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Optimization on Cooperative communications Based on network Coding in Multi-hop wireless networks

Optimization on Cooperative Communications Based on Network ...

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International wireless communications and Mobile Computing Conference, IWCMC

作者： Xiande Bu Chuan Liu Qiang Yu Lei Yin Feng Tian State Grid Laboratory of Electric Power Communication Network Global Energy Interconnection Research Institute Nanjing China Key Lab of Broadband Wireless Communication and Sensor Network Technology (Nanjing Universityof Posts and Telecommunications) Ministry of Education Nanjing China

ISBN: (数字)9781728131290

ISBN: (纸本)9781728131306

Cooperative communications (CC) based on network coding (NC) can significantly increase the capacity of wireless networks. In this paper, we investigate how to apply NC in multi-hop wireless networks with multiple relay nodes and multiple sessions to achieve more practical and general CC based on NC. Based on NC, we consider to jointly optimize relay node selecting, scheduling and flow routing in CC in a multi-hop wireless network. We not only construct a mathematical model but also formulate a maximum-minimum (Max-Min) optimization problem for it. Then we reformulate and solve it with CPLEX. Through simulation, we validate that the achieved rate gain by NC can be greatly improved than the one by CC.

关键词： Relays Spread spectrum communication wireless networks Routing Optimization Mathematical model network coding

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Fog node selection for low latency communication and anomaly detection in fog networks

Fog node selection for low latency communication and anomaly...

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2019 International Conference on communications, Information System, and Computer Engineering, CISCE 2019

作者： Li, Yuxiao Zhang, Yazhong Liu, Yuxiang Meng, Qingmin Tian, Feng Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education College of Telecommunications and Information Engineering Nanjing210003 China

ISBN: (纸本)9781728136813

The application of 5G in IOT (Internet of things) puts forward strict requirements for network latency. In view of the fog network scenario with large-scale IOT devices, this paper proposes a procedure of unsupervised learning to efficiently realize the requirement of low-latency communication. We propose an integrated K-means clustering and PCA fog computing design, which facilitates a new service of fog, anomaly detection. Computer simulation shows that, in the presence of large-scale path loss, shadow and small-scale fading channel, the system design with low latency needs to consider the deployment of dense fog nodes and adopt more frequency or power resources at the same time. The proposed procedure and machine learning design not only facilitates the selection of fog nodes, but also presents a new example of anomaly detection using fog nodes. © 2019 IEEE.

关键词： Fog

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Privacy amplification scheme based on composite coding

arXiv

引用

arXiv 2021年

作者： Li, Wei Zhao, Shengmei Nanjing University of Posts and Telecommunications Institute of Signal Processing and Transmission Nanjing210003 China Nanjing University of Posts and Telecommunications Key Lab Broadband Wireless Communication and Sensor Network Ministy of Education Nanjing210003 China National Laboratory of Solid State Microstructures Nanjing University Nanjing210093 China

Privacy amplification is an indispensable step in the post-processing of quantum key distribution, which can be used to compress the redundancy of shared key and improve the security level of the key. The commonly used privacy amplification is based on the random selection of universal hash functions, which needs the help of an additional random source, while it does not exist in general. In this paper, we propose a privacy amplification scheme based on composite coding, which is an extension of quantum CSS codes to classical linear codes. Compared with the universal hashing function, the proposed scheme does not need other random sources, and the randomness can be completely provided by the qubit string. Furthermore, the information-theoretic bound for the extraction of the key is obvious in composite coding. Copyright © 2021, The Authors. All rights reserved.

关键词： Quantum cryptography

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