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30 December 2023, Volume 7 Issue 4
Theory and Technology
Autonomous computing and network convergence:architecture, technologies, and prospects
Xiaomao ZHOU, Qingmin JIA, Yujiao HU, Kai GUO, Qianpiao MA, Hui LIU, Renchao XIE
2023, 7(4):  1-12.  doi:10.11959/j.issn.2096-3750.2023.00350
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In view of the new service scenarios and the demand for high intelligence network in computing and network convergence (CNC), the concept of autonomous CNC (Auto-CNC) is elaborated, where intelligence was introduced into all the aspects of CNC, including resource integration, process automation, and system intelligence.The current research directions and remaining challenges of CNC were introduced, and three key features, i.e., intent-driven computing network, the autonomous system operation and the adaptive co-evolution of communication, computing intelligence, were summarized from the proposed Auto-CNC.Meanwhile, the reference architecture and key technologies of Auto-CNC were described, which were followed by several preliminary exploration cases.Finally, future research trends and technical advice were discussed and recommended.

Research on edge offloading delay optimization of cellular networks based on optimal transport theory
Xiangyu LYU, Yong XIAO, Yi ZHONG, Qiang LI, Xiaohu GE
2023, 7(4):  13-27.  doi:10.11959/j.issn.2096-3750.2023.00352
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With the development of the internet of things, a large number of user device (UD) were connected to cellular network.Since the changes in the spatial distribution of UD and application requirements, it is necessary to dynamically adjust the UD’ offloading decision.Comprehensively considering various parameter information in the networks such as the spatial distribution of UD, application requirements, and the processing capability of the edge servers on the base station (BS) side, the offloading decision of UD were optimized from the perspective of distribution.Based on the optimal transport theory, a delay optimization algorithm was proposed to reduce the average delay of the UD’ computing tasks offloading process by reasonably planning the offloading BS of the UD in the networks.The simulation results show that the average delay can be reduced by 81.06% using the proposed offloading mechanism based on delay optimization, and the traffic handled by each BS is balanced.

Uplink assisted downlink channel estimation method of extra-large scale MIMO-OTFS system
Xumin PU, Kaiyuan DENG, Qianbin CHEN
2023, 7(4):  28-38.  doi:10.11959/j.issn.2096-3750.2023.00351
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A low complexity downlink channel estimation method for high-speed mobile scenarios was proposed for the extra-large scale multiple-input multiple-output (MIMO) orthogonal time-frequency space (OTFS) system.Different from the existing studies, the proposed method considers the significant spatial non-stationary characteristics of extra-large scale MIMO-OTFS system.Based on the visible path region, an enhanced sparse orthogonal matching pursuit (OMP) algorithm with low complexity was proposed, uplink-assisted downlink channel estimation was achieved using the mapping relationship between the uplink and downlink channels in the frequency-division duplex (FDD) mode.Simulation results show that the proposed uplink-assisted downlink channel estimation method can accurately represent the non-stationary of the system, and achieve significant improvement in the channel estimation performance while reducing the computational complexity , and still perform well in high-mobility IoT scenarios.

A massive MIMO-OTFS robust transmission scheme for vehicular networks using sensing-assisted communication
Weidong WANG, Hui GAO, Xin SU, Limin XIAO, Shiqiang SUO, Qiusha GONG
2023, 7(4):  39-51.  doi:10.11959/j.issn.2096-3750.2023.00363
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For a multi-user integrated sensing and communication system in the network of vehicles, a robust sensing-assisted communication massive multiple-input multiple-output (MIMO) orthogonal time frequency space (OTFS) transmission scheme was proposed.Due to the limited sensing accuracy of the radar, errors existed in the channel state information (CSI) reconstructed based on sensing parameters.The transmission performance decreased as a result.To address this issue, the CSI in the delay doppler domain was reconstructed based on the sensing parameters by the transmitter firstly.And a robust beam forming scheme was designed considering the CSI error.Secondly, the channel estimation error and inter user interference were perceived by receivers based on sensing parameters.Then the robust receiver was designed by incorporating the perceived interference errors into the signal detector in an analytical way.Finally, numerical simulation results show that the proposed method effectively reduces the system bit error rate and increases the data reception rate of users.The proposed method improves the overall system performance in this situation.

An algorithm for joint optimization of dynamic routing and scheduling in time-sensitive networking
Yang ZHOU, Honglong CHEN, Lei ZHANG
2023, 7(4):  52-62.  doi:10.11959/j.issn.2096-3750.2023.00318
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Time-sensitive networking (TSN) is a set of protocols developed by the IEEE TSN task group, aiming at achieving deterministic communications over Ethernet.As the implementation method of TSN traffic scheduling is not specified in the protocols, the routing and scheduling algorithm for TSN remains an open issue.The joint optimization problem of routing and scheduling in TSN for industrial applications was modeled, and then an online heuristic algorithm was proposed to deliver the routing and scheduling solution for dynamic traffics.The routing path was determined by optimizing both the transmission delay and network load factors, and the scheduling time was quickly conducted by twice clipping operations.Finally, a simulated TSN testbed was developed with NeSTiNg framework based on OMNeT.The simulation results show that the execution time of the proposed algorithm outperforms the baseline algorithms even with large scale of network size and network traffics.It shows that the proposed algorithm guarantees the real-time performance even in dynamically changing networks.

A UWB NLOS identification method under pedestrian occlusion
Tong WU, Yeshen LI, Zhenhuang HUANG, Yu ZHANG, Wanle ZHANG, Ke XIONG
2023, 7(4):  63-71.  doi:10.11959/j.issn.2096-3750.2023.00348
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Ultrawideband (UWB) is a hot technology for indoor positioning with large bandwidth, strong anti-interference ability, and high multipath resolution capacity.However, due to the complex indoor environment, UWB signal propagation will inevitably be blocked, resulting in non-line-of-sight (NLOS) propagation, which greatly reduces the accuracy of UWB positioning.Therefore, identifying NLOS signals accurately and discarding or correcting them are important to alleviate the problem of the decline in positioning accuracy.The majority of present NLOS identification work focuses on scenes with building structures such as walls.Further discussion is needed for scenes obscured by pedestrians.Since the impact of human obstacles on the signals is more complex and cannot be ignored, the NLOS identification under pedestrian occlusion was studied.By comparing a variety of machine learning methods and signal feature combinations, the random forest method based on the three-dimensional features of the first path signal power, the received signal power, and the measured distance was proposed.These features with fewer dimensions and easy extraction were used to achieve a high identification percentage for NLOS.The experimental results based on the measured data of different devices show that the NLOS identification accuracy based on the proposed method reaches 99.05%, 99.32% and 98.81% respectively.

A hybrid traffic scheduling mechanism applied to large scale time-sensitive networking
Yanjue LI, Wenxuan HAN, Hailong ZHU, Changchuan YIN
2023, 7(4):  72-87.  doi:10.11959/j.issn.2096-3750.2023.00367
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Aiming at large-scale time-sensitive networking (TSN) scenarios that can only ensure frequency synchronization between devices, a hybrid traffic scheduling mechanism was proposed based on time-aware shaper (TAS) combined with cycle specified queuing and forwarding (CSQF).Firstly, a scheme was investigated for achieving periodic cyclic mapping alignment between two adjacent nodes located in different time domains.Secondly, combining segment routing technology, a heuristic algorithm based on CSQF mechanism for joint routing and scheduling was proposed to complete resource allocation for large bandwidth traffic.The experimental results show that the proposed scheme significantly improves the system resource utilization and scheduling success rate compared to existing research results, achieving efficient TSN traffic scheduling in wide area network scenarios.

A blockchain sharding scheme in edge computing
Jun WANG, Jianwei MA, Jinxi LUO
2023, 7(4):  88-100.  doi:10.11959/j.issn.2096-3750.2023.00333
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The low security and poor privacy of the data in edge computing restrict the development of edge computing.Block chains can provide security for data in edge computing using their own tamper resistance, while protecting privacy by use of traceability.But the bottleneck of blockchain's scalability has become a barrier to their application in the field of edge computing.To solve the problem that blockchain can not meet the needs of a large number of nodes to process data at the same time when applied to edge computing, a two-layer sharding scheme was presented, which meets the needs of edge computing scenarios.Geographic location-based partitioning of nodes was implemented using the improved K-means algorithm, and a local blockchain network consensus (LBNC) algorithm was designed based on the idea of delegated proof of stake (DPoS) and practical Byzantine fault tolerance (PBFT).Simulation results show that the proposed scheme has less delay and higher throughput than those of PBFT, and the total throughput increases with the number of shards.

A ZigBee network anonymous authentication scheme based on Chebyshev chaotic mapping and CRT
Wei LIAO, Lesheng HE, Heng YIN, Shengtao YU, Jiarui QUAN
2023, 7(4):  101-109.  doi:10.11959/j.issn.2096-3750.2023.00368
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A ZigBee network anonymous authentication scheme based on Chebyshev chaotic mapping and Chinese remainder theorem (CRT) was proposed to solve the problems such as the incomplete reliability of ZigBee network trust center and the lack of identity authentication when accessing the network.The proposed scheme can not only realize two-way authentication of anonymous identity, but also ensure the security of key distribution when ZigBee network structure changes dynamically.It is mainly based on a ZigBee and NB-IoT wireless heterogeneous gateway, so that the server can effectively manage the nodes in the network through this gateway.From security analysis and comparison with other related literature, the proposed scheme has higher security, with anonymity and unlink ability.In addition, the results show that the proposed scheme has more advantages than other schemes on the computational overhead.

Charging path optimization in mobile wireless rechargeable sensor networks
Quanlong NIU, Riheng JIA, Minglu LI
2023, 7(4):  110-122.  doi:10.11959/j.issn.2096-3750.2023.00364
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The wireless power transfer technique is promising in solving the energy bottleneck of sensor nodes in wireless sensor networks, which can thus prolong the network lifetime or even maintain sustainable network operations.Most existing works focused on optimizing the static chargers’ deployment or mobile chargers’ charging path for static sensor nodes with fixed sensor node positions, ignoring the scenario with mobile sensor nodes.Thus, design and optimize the charging path of a mobile charger was studied for dynamic wireless sensor networks with mobile sensor nodes, to maximize the charging utility within a finite time horizon, that is, the charger can encounter as more sensor nodes as possible in a limited time and charge them.Notice that the mobile charger may stop to simultaneously charge multiple nodes within its charging range during its charging tour.The proposed charging path optimization problem was proven to be an APX-hard problem.Then, based on the constructed directed acyclic graph using discretization method, a layer-wise pruning algorithm based on the backtracking method was proposed.The proposed algorithm took the solution generated by the greedy algorithm as the benchmark and searched the optimal charging path under a fixed time division by layer-wise pruning.Simulation results show that the proposed algorithm can effectively improve the charging utility .

Trajectory design and bandwidth allocation strategy in UAV-assisted MEC network
Xue JIANG, Liang ZHAO
2023, 7(4):  123-131.  doi:10.11959/j.issn.2096-3750.2023.00329
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The unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) network, where the UAV can be used as a mobile base station to collect data from the multiple user devices was studied.Since it should satisfy the UAV velocity constraint, the system computation latency constraint, and the system communication latency constraint, a joint scheme of bandwidth allocation and UAV 3D trajectory was proposed to minimize the total energy consumption of the network.The corresponding non-convex optimization problem that is difficult to solve was converted into two sub-optimization problems, which are the UAV 3D trajectory optimization subproblem by fixing bandwidth allocation, and the user equipment bandwidth allocation subproblem by fixing UAV 3D trajectory.Experiments demonstrate that the energy consumption of the proposed algorithm is less than that of the other two typical algorithms.Furthermore, the theoretical basis for solving the limited resource and energy problem in UAV-assisted MEC network was provided.

Research on agricultural IoT pest and disease image recognition algorithm based on STM32
Botao XU, Xiang CHEN
2023, 7(4):  132-141.  doi:10.11959/j.issn.2096-3750.2023.00365
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In modern agriculture IoT systems, edge computing is an indispensable component.In this context, it is feasible to deploy lightweight pest and disease image recognition tasks on edge devices.However, due to the constraints of device computation and storage capabilities, this task faces significant challenges.To address these challenges, an economically practical method was proposed for pest and disease image recognition on STM32 edge devices.Specifically, the MobileNetv2 structure was improved to better suit the characteristics of STM32, quantization-aware training technique was used to compresses the network, model portability was enhanced.Meanwhile, the X-CUBE-AI was used to arrange the model and evaluate the performance.Experimental results demonstrate that the proposed model not only ensures image classification accuracy but also reduces the Flash and RAM resource consumption on STM32 compared to other lightweight networks.

Retail commodity detection method based on location learnable visual center mechanism
Xiaohua LYU, Mingchen WEI, Libo LIU
2023, 7(4):  142-152.  doi:10.11959/j.issn.2096-3750.2023.00366
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To address the problem of low detection accuracy caused by the difficulty in effectively capturing significant and diversified feature information for packaging deformation and overlap products, a location learnable visual center (LLVC) mechanism was designed to improve YOLOX-s, achieving higher detection accuracy.To effectively deal with product packaging deformation and overlap phenomena, firstly, global context information was captured through a lightweight multi-layer perceptron to help the model better understand spatial information in product features.Secondly, the local feature representation ability was enhanced by the designed LLVC and the spatial information was used to allocate learnable weights for local features to increase the attention of discriminative local features.Finally, the intersection over union (IoU) loss function was replaced with centered intersection over union (CIoU) and power parameters were introduced on this basis to effectively reduce the missed detection rate.Experimental results show that the proposed method achieves an accuracy of 91.3% on the retail product checkout (RPC) dataset, which is 2.2% higher than YOLOX-s and better than current mainstream lightweight object detection algorithms.At the same time, frame per second (FPS) is 97 frame/s, and the model size is 9.48 MB.It can accurately and in real-time detect retail products in scenarios where computing resources are limited.

A Wi-Fi sensing method for complex continuous human activities based on CNN-BiGRU
Yang LIU, Anming DONG, Jiguo YU, Kai ZHAO, You ZHOU
2023, 7(4):  153-167.  doi:10.11959/j.issn.2096-3750.2023.00360
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Human activity sensing based on Wi-Fi channel state information (CSI) has an important application prospect in future intelligent interaction scenarios such as virtual reality, intelligent games, and the metaverse.Accurate sensing of complex and continuous human activities is an important challenge for Wi-Fi sensing.Convolutional neural network (CNN) has the ability of spatial feature extraction but is poor at modeling the temporal features of the data.While long short-term memory (LSTM) network or gated recurrent unit (GRU) network, which are suitable for modeling time-series data, neglect learning spatial features of data.In order to solve this problem, an improved CNN that integrates bidirectional gated recurrent unit (BiGRU) network was proposed.The bi-directional feature extraction ability of BiGRU was used to capture the correlation and dependence of the front and back information in the time series data.The extraction of the spatiotemporal features of the time series CSI data was realized, and then the mapping relationship between the action and the CSI data was present.Thus the recognition accuracy of the complex continuous action was improved.The proposed network structure was tested with basketball actions.The results show that the recognition accuracy of this method is above 95% under various conditions.Compared with the traditional multi-layer perceptron (MLP), CNN, LSTM, GRU, and attention based bidirectional long short-term memory (ABLSTM) baseline methods, the recognition accuracy has been improved by 1%~20%.

Design and implementation of low-cost hardware architecture for authentication encryption algorithm SM4-GCM
Rui CHEN, Chunqiang LI
2023, 7(4):  168-179.  doi:10.11959/j.issn.2096-3750.2023.00362
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The internet of things (IoT) has gained wide adoption across various industries, driving digitalization and intelligence in industry applications.However, the data collected by IoT devices in some industry applications may be closely linked to user privacy and property security.To ensure the security of such data, a cost-effective, multifunctional hardware architecture design based on the Chinese authenticated encryption algorithm SM4-GCM (Galois/Counter Mode) was proposed, which offered a balanced approach to performance, cost, and hardware-level data confidentiality and integrity assurance, and supported three operation modes: SM4-CTR, SM4-ECB, and SM4-GCM.The implementation results on the field programmable gate array (FPGA) development board demonstrate that the design requires only 1 761 look-up tables and 1 825 registers, occupies only 604 slices, and has a throughput rate of 39.78 Mbit/s@100 MHz.These results suggest that the proposed design can effectively meet the requirements of IoT data security applications.

2023 Vol.7 No.4 No.3 No.2 No.1
2022 Vol.6 No.4 No.3 No.2 No.1
2021 Vol.5 No.4 No.3 No.2 No.1
2020 Vol.4 No.4 No.3 No.2 No.1
2019 Vol.3 No.4 No.3 No.2 No.1
2018 Vol.2 No.4 No.3 No.2 No.1
2017 Vol.1 No.3 No.2 No.1
Internet of things and pan-healthcares
Jianguo MA,Hengyue JIN
Chinese Journal on Internet of Things. 2018 Vol. 2 (1): 42-55 doi: 10.11959/j.issn.2096-3750.2018.00040
Abstract3814)   HTML81)    PDF (8173KB)(22368)    Knowledge map   
Development trend of IoT industry in China
Yu SUN
Chinese Journal on Internet of Things. 2017 Vol. 1 (3): 1-5 doi: 10.11959/j.issn.2096-3750.2017.00024
Abstract3022)   HTML294)    PDF (903KB)(3939)    Knowledge map   
Technology and application progress on Internet of Things
WU He-quan
Chinese Journal on Internet of Things. 2017 Vol. 1 (1): 1-6 doi: 10.11959/j.issn.2096-3750.2017.00001
Abstract3346)      PDF (673KB)(3776)    Knowledge map   
Smart Internet of things aided by“terminal-edge-cloud” cooperation
Dapeng WU,Puning ZHANG,Ruyan WANG
Chinese Journal on Internet of Things. 2018 Vol. 2 (3): 21-28 doi: 10.11959/j.issn.2096-3750.2018.00060
Abstract8619)   HTML414)    PDF (6218KB)(3198)    Knowledge map   
Space-air-ground integrated networks:review and prospect
Xuemin(Sherman) SHEN,Nan CHENG,Haibo ZHOU,Feng LYU,Wei QUAN,Weisen SHI,Huaqing WU,Conghao ZHOU
Chinese Journal on Internet of Things. 2020 Vol. 4 (3): 3-19 doi: 10.11959/j.issn.2096-3750.2020.00142
Abstract3417)   HTML525)    PDF (4834KB)(3178)    Knowledge map   
Development status and challenges of LEO IoT
Geng-xin ZHANG,Xiao JIE,Zhi-cheng QU
Chinese Journal on Internet of Things. 2017 Vol. 1 (3): 6-9 doi: 10.11959/j.issn.2096-3750.2017.00025
Abstract5919)   HTML147)    PDF (457KB)(3052)    Knowledge map   
Security of the industrial Internet of things and localization of the core technology
Guangnan NI
Chinese Journal on Internet of Things. 2018 Vol. 2 (2): 1-7 doi: 10.11959/j.issn.2096-3750.2018.00046
Abstract1933)   HTML69)    PDF (1165KB)(3014)    Knowledge map   
Space-air-ground integrated vehicular network for immersive driving experience
Zhi-sheng NIU,SHEN Sherman,Qin-yu ZHANG,Yu-liang TANG
Chinese Journal on Internet of Things. 2017 Vol. 1 (2): 17-27 doi: 10.11959/j.issn.2096-3750.2017.00014
Abstract4548)   HTML150)    PDF (4544KB)(2911)    Knowledge map   
Backscatter communication technology and Internet of Things
WANG Gong-pu, XIONG Ke, LIU Ming, GAO Fei-fei, ZHONG Zhang-dui
Chinese Journal on Internet of Things. 2017 Vol. 1 (1): 67-75 doi: 10.11959/j.issn.2096-3750.2017.00009
Abstract8151)      PDF (1257KB)(2827)    Knowledge map   
Research on wireless access technologies for Internet of things
Jianchi ZHU,Bei YANG,Peng CHEN,Xiaoming SHE,Qi BI
Chinese Journal on Internet of Things. 2018 Vol. 2 (2): 73-84 doi: 10.11959/j.issn.2096-3750.2018.00056
Abstract1799)   HTML96)    PDF (2128KB)(2726)    Knowledge map   
Global IoT development status and development proposals of IoT in China
LUO Song, JIA Xue-qin, XU He-yuan, LIU Duo
Chinese Journal on Internet of Things. 2017 Vol. 1 (1): 7-12 doi: 10.11959/j.issn.2096-3750.2017.00002
Abstract2158)      PDF (623KB)(2704)    Knowledge map   
Kernel of Internet of Things:Internet of Data
Qi ZHANG,Hao YANG,Q.S.Quek Tony,Shi JIN,Hong-bo ZHU
Chinese Journal on Internet of Things. 2017 Vol. 1 (3): 10-16 doi: 10.11959/j.issn.2096-3750.2017.00026
Abstract2533)   HTML58)    PDF (1057KB)(2681)    Knowledge map   
On 6G and wide-area IoT
Xiaohu YOU, Hao YIN, Hequan WU
Chinese Journal on Internet of Things. 2020 Vol. 4 (1): 3-11 doi: 10.11959/j.issn.2096-3750.2020.00158
Abstract2290)   HTML608)    PDF (1690KB)(2617)    Knowledge map   
The innovation and development strategy of the Internet of Things science and technology industry based on the “3S” mode
Hong-bo ZHU, Hao YIN
Chinese Journal on Internet of Things. 2017 Vol. 1 (2): 1-16 doi: 10.11959/j.issn.2096-3750.2017.00013
Abstract2080)   HTML74)    PDF (1536KB)(2504)    Knowledge map   
Tramway obstacles detection based on information fusion of MMV radar and machine vision
Guang-yao ZHAI,Rong CHEN,Jian-feng ZHANG,Ji-guang ZHANG,Cheng WU,Yi-ming WANG
Chinese Journal on Internet of Things. 2017 Vol. 1 (2): 76-83 doi: 10.11959/j.issn.2096-3750.2017.00021
Abstract4772)   HTML136)    PDF (1622KB)(2494)    Knowledge map   
Research progress and trend of big data-driven intelligent transportation system
Chen YU,Lijuan ZHANG,Hai JIN
Chinese Journal on Internet of Things. 2018 Vol. 2 (1): 56-63 doi: 10.11959/j.issn.2096-3750.2018.00041
Abstract2379)   HTML132)    PDF (754KB)(2469)    Knowledge map   
State of the art of industrial network technologies: a review and outlook
ZHANG Hong-ke, CHENG Yu-jun, YANG Dong
Chinese Journal on Internet of Things. 2017 Vol. 1 (1): 13-20 doi: 10.11959/j.issn.2096-3750.2017.00003
Abstract2416)      PDF (2891KB)(2396)    Knowledge map   
Internet of vehicles empowered by edge intelligence
Yan ZHANG,Ke ZHANG,Jiayu CAO
Chinese Journal on Internet of Things. 2018 Vol. 2 (4): 40-48 doi: 10.11959/j.issn.2096-3750.2018.00080
Abstract3102)   HTML157)    PDF (2184KB)(2362)    Knowledge map   
Application and development of Internet of things in medical service
Zhibiao WANG, Peng RAN, Qiao CHEN
Chinese Journal on Internet of Things. 2018 Vol. 2 (3): 1-10 doi: 10.11959/j.issn.2096-3750.2018.00058
Abstract3612)   HTML326)    PDF (4926KB)(2319)    Knowledge map   
Indoor localization system based on multi-information fusion
NIU Jian-wei, QI Zhi-ping, LYU Wei-feng, LI Hui-yong, SHENG Hao
Chinese Journal on Internet of Things. 2017 Vol. 1 (1): 55-66 doi: 10.11959/j.issn.2096-3750.2017.00008
Abstract2867)      PDF (1788KB)(2283)    Knowledge map   
Comprehensive sensing system of new smart city
Jing YANG,Zuwei ZHANG,Daoyuan YAO,Yang HU,Junjiang QIAN,Zhe ZHOU,Xubo HU,Yupeng YUAN,Xiaofei LI
Chinese Journal on Internet of Things. 2018 Vol. 2 (3): 91-97
doi: 10.11959/j.issn.2096-3750.2018.00068
Abstract( 10681 )   HTML PDF (5806KB) (2056 Knowledge map   
Smart Internet of things aided by“terminal-edge-cloud” cooperation
Dapeng WU,Puning ZHANG,Ruyan WANG
Chinese Journal on Internet of Things. 2018 Vol. 2 (3): 21-28
doi: 10.11959/j.issn.2096-3750.2018.00060
Abstract( 8619 )   HTML PDF (6218KB) (3198 Knowledge map   
Backscatter communication technology and Internet of Things
WANG Gong-pu, XIONG Ke, LIU Ming, GAO Fei-fei, ZHONG Zhang-dui
Chinese Journal on Internet of Things. 2017 Vol. 1 (1): 67-75
doi: 10.11959/j.issn.2096-3750.2017.00009
Abstract( 8151 )   PDF (1257KB) (2827 Knowledge map   
Development status and challenges of LEO IoT
Geng-xin ZHANG,Xiao JIE,Zhi-cheng QU
Chinese Journal on Internet of Things. 2017 Vol. 1 (3): 6-9
doi: 10.11959/j.issn.2096-3750.2017.00025
Abstract( 5919 )   HTML PDF (457KB) (3052 Knowledge map   
Self-organization networking technology for 5G ultra-dense wireless network
Jiandong LI,Min SHENG,Junyu LIU,Chenxi ZHAO,Yan ZHANG,Hongguang SUN
Chinese Journal on Internet of Things. 2018 Vol. 2 (1): 24-34
doi: 10.11959/j.issn.2096-3750.2018.00038
Abstract( 4825 )   HTML PDF (5751KB) (2204 Knowledge map   

Copyright Information
Quarterly,started in 2017
Cpmpetent Unit:Ministry of Industry and Information Technology of the People's Republic of China
Sponsor:Posts & Telecom Press Co.,Ltd.
Publisher: China InfoCom Media Group
Editor:Editor Board of Chinese Journal on Internet of Things
Editor-in-Chief:YIN Hao
Executive Editor-in-Chief:ZHU Hongbo
Deputy Editor-in-Chief:LIU Hualu
Director:LI Caishan
Address:F2, Beiyang Chenguang Building, Shunbatiao No.1 Courtyard, Fengtai District, Beijing, China
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