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15th IEEE International Conference on wireless communications and Signal Processing, WCSP 2023

作者： Wang, Lei Su, Yufei Dou, Haie Cui, Jingwu Zheng, Baoyu Nanjing University of Posts and Telecommunications School of Communications and Information Engineering Nanjing China Nanjing University of Posts and Telecommunications Ministry of Education Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing China

ISBN: (纸本)9798350324662

Offloading for 5G intelligent terminals is an important requirement of mobile edge computing (MEC), which can reduce the load of terminal devices and provide more powerful computing power and services. However, due to the interference between different users and the waste of a lot of resources, the role of MEC is greatly limited. In the article, energy-saving blockchain technology is introduced into the user-centric MEC (UC-MEC) system. However, in UC-MEC, it is necessary to comprehensively consider task offloading and energy consumption optimization in the consensus process to improve overall energy efficiency. To solve these problems, a new offloading model of 5G intelligent terminal is proposed, which realizes safe and efficient resource utilization by jointly optimizing the bandwidth and computing resource allocation of access point (AP). The research also proposed a resource consensus mechanism based on Zookeeper atomic broadcast (RC-ZAB), and the parallel optimization framework of relaxed hybrid alternative direction method of multipliers (RH-ADMM) to solve the problems of resource transaction and energy consumption optimization. The experimental results show that compared with the comparison method, the total energy consumption of the proposed method is reduced by 41.39% at most, and the total delay is reduced by 29.80% at most. © 2023 IEEE.

关键词： blockchain Mobile edge computing resource consensus task offloading user-centric

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Construction method of smart fire control electricity cyber physical system model based on consumption behavior modes 10

Construction method of smart fire control electricity cyber ...

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10th IEEE Joint International Information technology and Artificial Intelligence Conference, ITAIC 2022

作者： Xu, Chenzi Zhu, Leiji Liu, Pingping Xiong, Yong Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Broadband Wireless Communication Technology Laboratory Shanghai200050 China Chinese Academy of Sciences Key Laboratory of Wireless Sensor Network and Communication Shanghai200050 China Shijingshan Beijing100049 China

ISBN: (数字)9781665422079

ISBN: (纸本)9781665422079

With the popularity of smart meters and the development of big data technology, power consumption data is accumulating. In order to help the power sector better understand users and provide better services for users, a variety of user behavior cyber physical system models have been proposed. In order to better construct the cyber physical system model of typical users, this paper proposes a power consumption behavior pattern construction method based on DDTW, and obtains these eight power consumption behavior modes by using the power consumption data of a community in Shanghai. Then, a user cyber physical system model method based on improved K-Modes algorithm is proposed. Combined with the eight power consumption behavior modes, the user cyber physical system models of eight typical users are obtained. The final silhouette coefficient and DBI index are 0.056 and 5.89 respectively. The construction method of smart fire control electricity cyber physical system model based on consumption behavior modes can well extract common power consumption behavior modes from disordered power consumption data, and then through the user cyber physical system model method based on improved K-Modes algorithm, it can well construct the power consumption behavior cyber physical system models of different users, and abstract typical users to provide support for the policy designation of the power department. In addition, the smart fire control electricity cyber physical system model can support the closed-loop control of intelligent fire electrical cyber physical system © 2022 IEEE.

关键词： Cyber Physical System

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Personalized Content Sharing via Mobile Crowdsensing

Personalized Content Sharing via Mobile Crowdsensing

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作者： Zhao, Lindong Wei, Xin Chen, Jianxin Zhou, Liang Guizani, Mohsen Nanjing University of Posts and Telecommunications Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing210003 China Qatar University Department of CSE Doha Qatar

Personalized content sharing will inevitably become one of the core applications of mobile Internet of Things. However, the existing strategies for content sharing are far from effective content personalization, since they either fail to protect the diversity of shared content or harm the enthusiasm of users to participate in cooperation. How to optimize the tradeoff between content personalization and sharing efficiency thus becomes an extremely challenging problem. To circumvent this dilemma, we propose a social-aware personalized content-sharing strategy based on mobile crowdsensing (MCS), which specially introduces positive network externalities derived from MCS and the social network. Specifically, we design a two-stage pricing-participation game to model the interactions between mobile users and a profit-making service provider. By solving the subgame-perfect Nash equilibrium (NE) of the proposed game, an efficient participation mechanism and an optimal-pricing strategy are developed. First, users' decision selection of whether to join MCS is modeled as a social-aware MCS participation game (SA-MPG), and two algorithms for solving the Pareto-optimal NE of SA-MPG are designed. Subsequently, the pricing issue for network operators is investigated by exploiting the supermodularity of SA-MPG. Stochastic network model and real-world data set-based simulations corroborate the significant gain of our proposed strategy. © 2014 IEEE.

关键词： Game theory

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NLOS Error Mitigation in Mobile Location Based on Modified Extended Kalman Filter

NLOS Error Mitigation in Mobile Location Based on Modified E...

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IEEE wireless communications and networking Conference (WCNC)

作者： Zhou, Xin Jin, A-Long Meng, Qingmin Key Lab. of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Southeast University Nanjing China National Mobile Communications Research Lab. Southeast University Nanjing China Nanjing University of Posts and Telecommunications Nanjing 210003 China

ISBN: (纸本)9781467304375;9781467304368

Geolocation and tracking of mobile objects is an important issue in wireless communication networks. Various methods have been devised and implemented to deal with such problems whose performance is particularly limited in non-line-of-sight propagation conditions. In this paper, we take advantage of the extended Kalman filter with some extensions, modifications and improvement of previous work to reduce the NLOS error in the location measurement. One of the key contributions of this paper is to present the methods that discriminate the NLOS measurements from the LOS measurements based on the standard deviation and K-means clustering and reconstruct the LOS measurements out of the NLOS measurements by polynomial fit in order to mitigate the NLOS error. Simulation results confirm the effectiveness and accuracy of our approach in comparison with the conventional EKF algorithm. Moreover, we do not model the distribution of the NLOS error due to its intractability.

关键词： Non-Line-of-Sight Extended Kalman filter K-means clustering LOS reconstruction polynomial fit

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Object detection by clustering-based nonparametric kernel density estimation

Object detection by clustering-based nonparametric kernel de...

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作者： Hu, D. Hu, J. Education Ministry's Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications China Jiangsu Province's Key Lab of Image Procession and Image Communications Nanjing University of Posts and Telecommunications China

ISBN: (纸本)9781845648282

Nonparametric model is one of the popular ones for background modeling for its ability to adapt to changes quickly in dynamic environment and enable very sensitive detection of moving objects. However, the method is too complex and computationally inefficient to real-time application. In this paper, a fast and efficient scheme for moving object detection by nonparametric background modeling was proposed, whereas the background was modeled combining clustering theory to eliminate the large amount of redundant information and noise pixels in background modeling stage. Moreover, adaptive background and temporal differencing was used to filter out unchanged background pixels, thus enabling an additional reduction in computational requirements and improving the detection results. Besides, RGB color components were substituted by chromaticity coordinates to suppress shadow effects. Experimental results demonstrated the effectiveness of the proposed algorithm. © 2014 WIT Press.

关键词： Object detection

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Mobility-Aware Multi-Task Migration and Offloading Scheme for Internet of Vehicles

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Chinese Journal of Electronics 2023年第6期32卷 1192-1202页

作者： LI Xujie TANG Jing XU Yuan SUN Ying College of Computer and Information Hohai University State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Key Lab for Wireless Sensor Network and Communication Shanghai Institute of Microsystem School of Information Engineering Jiangsu Open University

In Internet of vehicles, vehicular edge computing(VEC) as a new paradigm can effectively accomplish various tasks. Due to limited computing resources of the roadside units(RSUs), computing ability of vehicles can be a powerful supplement to computing resources. Then the task to be processed in data center can be offloaded to the vehicles by the RSUs. Due to mobility of the vehicles, the tasks will be migrated among the RSUs. How to effectively offload multiple tasks to the vehicles for processing is a challenging problem. A mobility-aware multi-task migration and offloading scheme for Internet of vehicles is presented and analyzed. Considering the coupling between migration and offloading, the joint migration and offloading optimization problem is formulated. The problem is a NP-hard problem and it is very hard to be solved by the conventional methods. To tackle the difficult problem, the idea of alternating optimization and divide and conquer is introduced. The problem can be decoupled into two sub-problems: computing resource allocation problem and vehicle node selection problem. If the vehicle node selection is given, the problem can be solved based on Lagrange function. And if the allocation of computing resource is given, the problem turns into a 0-1 integer programming problem, and the linear relaxation of branch bound algorithm is introduced to solve it. Then the optimization value is obtained through continuous iteration. Simulation results show that the proposed algorithm can effectively improve system performance.

关键词： Costs Computational modeling System performance Simulation Programming Multitasking Resource management

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An expanding ring prediction and location aided AODV routing algorithm

An expanding ring prediction and location aided AODV routing...

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2011 International Conference on Information technology, Computer Engineering and Management Sciences, ICM 2011

作者： Cheng, Chunling Hao, Jingbo Zhang, Dengyin College of Computer Nanjing University of Posts and Telecommunications Nanjing Jiangsu 210003 China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing Jiangsu 210003 China Key Lab. of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Jiangsu Province Nanjing Jiangsu 210003 China

ISBN: (纸本)9780769545226

On the battlefield, the cooperative fighting and communication among combat vehicles require higher service level of real-time transmission. Combat vehicles' fast moving and the links' frequent disruption lead to the increase of packet loss rate, packet delay and routing control overhead ratio. This paper proposes an expanding ring prediction and location aided AODV routing algorithm. It improves AODV routing protocol from both routing discovery and maintenance phases. In the rouing discovery phase, the algorithm limits the scope of sending RREQ through predicting the topology ring;and during the route maintenance phase, it predicts the motion range of destination node with the information provided by GPS to avoid blindness routing. The simulation results show that the proposed routing algorithm can greatly cut down the overload of combat vehicular network, improve the routing delay and reduce packet loss rate. It can meet the real-time requirements of the service transmission among combat vehicles and also improve the performance of the combat vehicular network. © 2011 IEEE.

关键词： Forecasting

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Gossip-based indexing ring topology for 2-dimension spatial data in overlay networks

Gossip-based indexing ring topology for 2-dimension spatial ...

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2012 International Workshop on Information and Electronics Engineering, IWIEE 2012

作者： Zou, Z.Q. Wang, Y. Hu, B. Wang, R.C. College of Computer Nanjing University of Posts and Telecommunications Nanjing Jiangsu 210003 China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing Jiangsu 210003 China Key Lab. of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Jiangsu Province Nanjing Jiangsu 210003 China

Overlay networks are used widely in the Internet, such as retrieval and share of files, multimedia games and so on. However, in distributed system, the retrieval and share of 2-dimension spatial data still have some difficult problems and can not solve the complex retrieval of 2-dimension spatial data efficiently. This article presents a new indexing overlay networks, named 2D-Ring, which is the ring topology based on gossip for 2-dimension spatial data. The peers in our overlay networks exchange the information periodically and update each local view by constructing algorithm. 2-dimension spatial data is divided by quad-tree and mapped into control points, which are hashed into 2D-Ring by SHA-1 hash function. In such way, the problem of 2-dimension spatial data indexing is converted to the problem of searching peers in the 2D-Ring. A large of extensive experiments show that the time complexity of constructing algorithm of 2D-Ring can reach convergence logarithmically as a function of the network size and hold higher hit rate and lower query delay. © 2011 Published by Elsevier Ltd.

关键词： Overlay networks

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CVCA: A Complex-Valued Classifiable Autoencoder for MmWave Massive MIMO Physical Layer Authentication

CVCA: A Complex-Valued Classifiable Autoencoder for MmWave M...

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2023 IEEE INFOCOM Conference on Computer communications Workshops, INFOCOM WKSHPS 2023

作者： Zeng, Xinyuan Wang, Chao Wang, Cheng-Cai Li, Zan Xidian University State Key Laboratory of Integrated Service Network Xi'an710071 China Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing210003 China School of Automation Science and Electrical Engineering Beihang University Beijing100191 China

ISBN: (纸本)9781665494274

For protecting millimeter wave (mmWave) communications from clone attacks, this paper employs the deep learning to propose a physical layer authentication (PLA) approach for detecting attackers and classifying multiple legitimate nodes simultaneously. Different from conventional upper-layer authentication mechanisms, the proposed PLA approach exploits the spatial and temporal characteristics of mmWave channels to extract the unique fingerprints for building a lightweight channel-based authentication method. However, the existing threshold-based PLA methods could not discriminate multiple nodes, and supervised learning based approaches have limited application due to the unavailability of attackers' channel state information (CSI) in practice. Besides, traditional real-valued deep neural networks cannot exploit the phase information of complex channels efficiently, which is unsuitable for designing the PLA scheme. Considering these, we propose a complex-valued classifiable autoencoder induced PLA scheme that includes a novel complex-valued long short-term memory (LSTM) module. Simulation results validate the superiority of our proposed PLA approach by comparing it with existing approaches and demonstrate that the detection probability of clone attacks positively correlates with antenna number. The classification performance is satisfactory even under the challenging experimental condition. © 2023 IEEE.

关键词： Authentication

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A Positioning Method and Realization on Single Satellites in Different Orbits Using TDOA

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China communications 2023年第7期20卷 108-121页

作者： Laiding Zhao Xun Zhu Gengxin Zhang Zhaowen Wang College of Telecommunications and Information Engineering Nanjing University of Posts and TelecommunicationsNanjing 210003China Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and TelecommunicationsNanjing 210003China “Telecommunication and Network”National Engineering Research Center Nanjing University of Posts and TelecommunicationsNanjing 210003China Shanghai Aerospace Electronic Technology Institute Shanghai 201109China

The main geolocation technology currently used in COSPAS-SARSAT system is TDOA/FDOA or three-star TDOA,the principle is to determine the location of the signal source by using the difference in arrival time and frequency of the wireless signal between different ***,ground monitoring stations need to be equipped with more than two antenna receiving stations,and multiple satellites should be able to simultaneously relay the distress signal from the target source in order to achieve the geolocation ***,when the ground receiving system has only one antenna receiving station,or the target source is in a heavily obscured environment,the ground side is unable to receive the forwarded signals from multiple satellites at the same time,which will make it impossible to *** address these problems,in this paper,a time-sharing single satellite geolocations method based on different orbits is proposed for the first *** method uses one or several low-earth orbit satellites(LEO)and mediumearth orbit satellites(MEO)in the visible area,and the receiving station only needs one pair of receiving antennas to complete the *** can effectively compensate for the shortcomings of the traditional TDOA using the same moment and have better positioning accuracy compared with the single satellite in the same *** to the limited experimental conditions,this paper tests the navigation satellite using different orbit time-sharing single satellite geolocations,and proves that the positioning method has high positioning accuracy and has certain promotion and application value.

关键词： different orbit time-sharing non-convex optimization single satellite TDOA

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