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30 December 2020, Volume 4 Issue 4
Frontier and Comprehensive Review
Discussion on the common sense of the Internet of things
Yu SUN
2020, 4(4):  1-8.  doi:10.11959/j.issn.2096-3750.2020.00196
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The development of Internet of things (IoT) in China is in the second decade.First of all,the outcome of the IoT was reviewed.The industry formation and system structure of IoT were introduced.Then,the development process,trends and key points of the next generation of IoT were summarized in the aspect of the service platform,sensor industry,access links and fusion with technologies such as cloud computing,edge computing,big data,identity resolution,blockchain,satellite navigation system,5G and so on.Finally,the problems and possible ideas of the development of IoT in China were put forward in the fields of the application positioning,theoretical research,standard-setting and security.Hope to provide reference for colleagues to understand the IoT.

Topic:IoT+Energy
Internet of energy things and its key technologies
Junyong LIU,Li PAN,Mai HE
2020, 4(4):  9-16.  doi:10.11959/j.issn.2096-3750.2020.00198
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The rapid development of the Internet of things technology provides beneficial support for the energy transition.The deep integration of the Internet of things and various fields of energy has formed the Internet of energy things,which has become the basis of the development of the energy Internet.Firstly,the meaning of the Internet of energy things and its multi-dimensional differences compared with traditional energy networks were analyzed.The architecture of the Internet of energy things was designed.Secondly,several key technologies of the Internet of energy things were discussed.And then the related application of scenarios the Internet of energy things were proposed.Finally,the development prospects and challenges of the Internet of energy things were looked forward to.Hope that a useful reference for the subsequent practice and the in-depth research of the Internet of energy things was provided.

Mobile crowd sensing coverage and energy optimization in smart coalmine
Chaowei WANG,Ting LIU,Tianyu WANG,Weidong WANG
2020, 4(4):  17-25.  doi:10.11959/j.issn.2096-3750.2020.00191
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Mobile crowd sensing (MCS) is a promising diagram for the environmental information collection based on the smart mobile terminal.Nowadays,vehicles with multiple embedded sensors are increasingly being considered as participants to complete various sensing tasks.In order to better perceive the data in the coalmine environment,the coverage quality and energy consumption of the perception data of sensing terminals were studied based on MCS.A new sensing coverage quality indicator called utility function F(?) jointly considering the coverage percentage and coverage density was defined.The selection of vehicles as an optimization problem to improve the coverage quality was formulated,then an improved greedy algorithm-coverage quality optimization (CQO) algorithm was proposed.The proposed algorithm with the real vehicle trajectory dataset was formulated and several factors influencing the coverage quality were studied.The experiment results show that the proposed algorithm achieves a better coverage quality.

CSI-based underground personnel behavior identification method
Lei ZHANG,Yue ZHANG,Mingxue LI,Xinguo SHI,Bo ZHAI,Weilong WANG
2020, 4(4):  26-31.  doi:10.11959/j.issn.2096-3750.2020.00202
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To solve the problem of personnel behavior identification under the condition of dust environment and shielding and to promote the coal mine safety production,a personnel identification method based on the Wi-Fi channel state information (CSI) was proposed.The system used Hampel filter and median filter to process the raw CSI data,and utilized the phase information through a linear correction method.The recognition process was divided into the offline stage and online stage.In the offline stage,different activities data was collected to establish the recognition model.While in the online stage,current actions were recognized according to the recognition model.8 different human activities were set in the experiments and the result indicated that the recognition accuracy of this system could reach 95%.

Research on the control strategy of multi-port DC/DC energy router for the energy Internet
Wenzhong MA,Guancheng LI,Kuitong ZHANG,Shujuan YANG,Mengdi WEI,Yuzhen TANG,Yucheng SONG,Lei DONG
2020, 4(4):  32-42.  doi:10.11959/j.issn.2096-3750.2020.00197
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The characteristics and shortcomings of the current multi-port direct current (DC) to DC (DC/DC) energy router were analyzed.A multi-port DC/DC energy router for the energy Internet was optimized and designed.Through the analysis of the operating voltage requirements under different working conditions,the full-bridge proportional design of the sub-module was proposed.On this basis,an alternating current (AC) to DC (AC/DC) decoupling control strategy to realize riding through the DC fault without de-blocking any devices was proposed.The multi-port DC/DC energy router was used to realize the interconnection of multiple DC power grids with different voltage levels.It not only retained the advantages of low cost and low loss of the traditional DC autotransformer,but also effectively improved the shortcomings that the DC autotransformer cannot ride through the DC fault.Finally,the simulation test was carried out in the MATLAB/Simulink environment to verify the stability of the technology in the normal operation,the feasibility of suppressing the DC fault and the effectiveness of the control strategy.

Topic:Smart Agriculture
Design and application of the layered soil moisture monitor for the smart agriculture
Xiaoqiang ZHAO,Heng QUAN,Zhufeng YAN,Lujun WANG
2020, 4(4):  43-50.  doi:10.11959/j.issn.2096-3750.2020.00188
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With the rapid development of the smart agriculture in China,the soil moisture monitoring has become particularly important.But there exist many problems in current monitoring methods,such as difficulties in layout and installation,electrode interference,and single monitoring depth.A soil moisture monitor suitable for the farmland was designed.For the hardware structure,a tube-type non-contact design scheme was adopted,and multiple modules were designed in order to realize the layered non-contact monitoring.For the software protocol,a control strategy of the multi-node access based on the Modbus protocol was proposed,which had the characteristics of high polling efficiency,data stability,and wide monitoring nodes.The data was transmitted to the cloud server through the message queuing telemetry transport (MQTT) protocol for the agricultural analysis and decision-making.The test in the vineyard area shows that the monitor can monitor the moisture content in the range of 0~100% and accuracy of ± 2.45%,which is of certain stability and practicality.

Wi-Pest:a method for detecting stored grain pests based on CSI
Shaowei SHAN,Weidong YANG,Le XIAO,Ke WANG
2020, 4(4):  51-61.  doi:10.11959/j.issn.2096-3750.2020.00186
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The environmental and biological factors that affect the food security during the food storage,such as the food temperature,environment humidity,moisture,gas,mildew,pests and others pose a threat to the food storage security,among which the pest is an important factor threatening food storage security.Therefore,a fast and effective detection method is needed to detect stored grain pests.Some of the existing methods are time consuming,using expensive equipment,potentially harmful to health and inefficient.A non-contact,fast and low-cost detection method for stored grain pests based on the amplitude of the channel state information (CSI) was proposed,namely,wireless-pest (Wi-Pest).The feasibility of the pest detection in the stored grain was verified by using CSI amplitude data.On this basis,a Wi-Pest detection method was designed.Firstly,the amplitude data of CSI was preprocessed by outliers removal,data normalization and noise elimination.Then the principal component analysis (PCA) was used to compress the data and extract the main feature components.Finally,random forest (RF) classification method was used to detect stored grain pests.Experiments show that the abnormal density of live pests in grain heaps can be detected under the line of sight (LOS) scenario,and the detection accuracy of the proposed method can reach 97% on average.

Research of precision agriculture WSN protocols
Jinfeng YANG,Ji WANG
2020, 4(4):  62-69.  doi:10.11959/j.issn.2096-3750.2020.00189
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The precision agriculture wireless sensor network (PAWSN) is a new research field.PAWSN is related to the development process of the smart agriculture,which has attracted the attention of scholars in the smart agriculture field.The key technology of PAWSN was analyzed,and then was classified according to its nature and characteristics,with detailed description of the merit and demerit of MAC layer protocol and routing protocol which was the most important network protocol of PAWSN key technology based on the classification framework.Finally,the problems needed to be solved and the solution ideas of PAWSN network protocol were pointed out.This study was aimed to make a cross-layer integrated optimization design for the PAWSN network protocol,improve the whole performance and the utilization ratio of PAWSN in smart agriculture,and promote the development of smart agriculture.

Theory and Technology
Performance analysis of simultaneous wireless information and power transfer relay network in railway Internet of things
Yaping LI,Ke XIONG,Yu ZHANG,Xi YANG
2020, 4(4):  70-78.  doi:10.11959/j.issn.2096-3750.2020.00193
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The system performance of energy constrained dual-hop multi relay network was studied in railway Internet of things.The source node was deployed on the train to transmit energy and information to the relay node with constrained energy on the ground.The harvested energy was used by the relay node to forward information to the destination node,and the relay node used half-duplex amplify-and-forward mode.Considering that the relay circuit has energy activation threshold,the closed-form expression of outage probability and throughput in Rician fading channel was derived.The correctness of the theoretical analysis was verified by Monte Carlo simulation,and the effects of Rician factor,time switching factor,the number of source node antennas,total transmission power of source node,energy conversion efficiency,relative position of each node on the end-to-end outage probability and throughput were compared and analyzed under the two relay selection strategies with the shortest first hop distance and the shortest sum of dual-hop distance.When the train passes through each relay successively,the outage probability of the system decreases first and then in creases,and the throughput increases first and then decreases.The performance of the system with the shortest sum of dual-hop distances is better than that with the shortest first hop distance.

Service migration of heterogeneous cloud computing platform
Feng WEI,Fei DING,Pengju JIAO,Yang LI,Yanshan CHEN,Dengyin ZHANG
2020, 4(4):  79-90.  doi:10.11959/j.issn.2096-3750.2020.00161
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With the rapid development of 5G communication technology,Internet+ and the Internet of things (IoT),cloud computing as an Internet-based virtual resource management and a distributed computing technology,provides services to users in a dynamic,on-demand and measurable manner.The solution of migrating the service platform to the cloud computing platform can realize rapid service deployment and effectively save service innovation and operating cost.With the research of the cloud computing platform-based service migration technology,the China Mobile’s OpenStack-based cloud computing architecture was taken as an example.The technical principles and core points of the mainstream service migration schemes were analyzed,such as offline migration,online migration based on platform functions,online service migration based on the agent block level and online service migration based on agent file level.The general service migration process and method were also given.Finally,three types of online migration schemes were experimentally verified through the actual platform.The technical advantages and adaptation scenarios were analyzed separately to guide the production practice of future business migration.

Data quality optimized online task allocation method for mobile crowdsensing
Wei ZHANG,Zhuo LI,Xin CHEN
2020, 4(4):  91-97.  doi:10.11959/j.issn.2096-3750.2020.00185
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Optimization of the perceived quality and the recruitment of user are two important issues of mobile crowdsensing.As the amount of data increases rapidly,perceived data becomes redundant,and perceived quality is at risk of decreasing.A mechanism of task assignment based on the perceptive quality optimization was proposed to improve the perceived quality under the condition of full coverage.The clustering algorithm was used to evaluate the truth value of the task and quantify the quality of the user data.Based on Thompson sampling algorithm and greedy algorithm,a user recruitment strategy was designed and implemented to optimize the perceived quality on the basis of ensuring the spatial coverage of the task.The performance of Thompson based user recruit (TSUR) algorithm was simulated and analyzed that compared with the existing algorithms of BBTA and basic user recruitment (BUR).Experiments show that in the same area,compared with bandit-based task assignment (BBTA) algorithm and BUR algorithm,the quality of the cumulative sensing data was improved by 16% and 20%,and the spatial coverage was improved by 30% and 22%.

Service and Application
Building intelligent integrated management system based on Internet of things and edge computing and its application
Haiying SONG,Zhiwen CHEN,Baiping QIU,Fuhua KUANG,Shijun DENG
2020, 4(4):  98-104.  doi:10.11959/j.issn.2096-3750.2020.00187
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In order to meet the needs of the intelligent management of modern commercial buildings,with the Internet of things (IoT) and edge computing technology,the intelligent building management system (IBMS) was developed based on ubiquitous building IoT by using the self-developed IoT gateway.The ubiquitous IoT eliminated the boundaries between the traditional building automation and information automation systems.The edge computing technology was used in the integrated management system to enhance the on-site decision-making ability and response speed of IBMS.The architecture of the integrated management system and the implementation of edge computing were discussed.The application of the system in the Shenzhen Dashi intelligent building shows the feasibility and effectiveness of the intelligent integrated management system based on ubiquitous building IoT.

Analysis and suggestions on the development of IoT technology
Wenke YU,Yuan CHENG,Fang LI,Qi ZHAO
2020, 4(4):  105-109.  doi:10.11959/j.issn.2096-3750.2020.00195
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The Internet of things (IoT) has been developing for a decade in China,which has rapidly evolved from the early sensor network technology,radio frequency identification (RFID) technology to the intelligent networking technology based on 5G.The Internet of everything is coming to our life.The application of IoT has also been gradually and comprehensively applied in from the area of financial IC card to the industry,government affairs,transportation,health care,education,and etc.The development of the IoT hot technologies represented by 5G and low-power wide-area network (LPWAN),and the deep integration of blockchain,edge computing and other technologies with the IoT,comprehensively promote the deep application of the IoT in the industry,which brings great development opportunities to all the industry.It was focused on the analysis of the status of 5G,IoT identification,edge computing,LPWAN,security technology,and etc.The development tendency of the IoT was also forecasted,and the corresponding policy suggestion to promote the development of IoT was put forward.

2020, Vol. 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
Abstract3552)   HTML24)    PDF (8173KB)(22228)    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
Abstract3025)      PDF (673KB)(3217)    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
Abstract2445)   HTML123)    PDF (903KB)(2791)    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
Abstract1713)   HTML7)    PDF (1165KB)(2738)    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
Abstract7491)      PDF (1257KB)(2368)    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
Abstract1434)   HTML22)    PDF (2128KB)(2254)    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
Abstract2132)   HTML16)    PDF (1057KB)(2248)    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
Abstract1856)   HTML43)    PDF (1536KB)(2218)    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
Abstract3779)   HTML41)    PDF (4544KB)(2178)    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
Abstract1961)      PDF (623KB)(2100)    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
Abstract2868)   HTML166)    PDF (4926KB)(2045)    Knowledge map   
New developing narrow band IoT technology NB-IoT
Zhi-bin ZHENG,De CHEN,Hao WU
Chinese Journal on Internet of Things. 2017 Vol. 1 (3): 24-32 doi: 10.11959/j.issn.2096-3750.2017.00028
Abstract3063)   HTML22)    PDF (1294KB)(2025)    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
Abstract6256)   HTML117)    PDF (6218KB)(2015)    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
Abstract4464)   HTML33)    PDF (5751KB)(1978)    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
Abstract2188)      PDF (2891KB)(1944)    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
Abstract4065)   HTML43)    PDF (1622KB)(1936)    Knowledge map   
Investigation of smart economic zone planning scheme
Lei-lei ZHOU,Wei JIANG,Meng WANG,Shi-yan DU
Chinese Journal on Internet of Things. 2017 Vol. 1 (3): 72-76 doi: 10.11959/j.issn.2096-3750.2017.00035
Abstract2079)   HTML9)    PDF (2689KB)(1915)    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
Abstract5327)   HTML54)    PDF (457KB)(1868)    Knowledge map   
Enhanced-mobile ubiquitous smart environment——the super state of Internet of things
Ping ZHANG,Shilin LI,Zheng HU
Chinese Journal on Internet of Things. 2018 Vol. 2 (1): 17-23 doi: 10.11959/j.issn.2096-3750.2018.00037
Abstract2699)   HTML17)    PDF (1044KB)(1832)    Knowledge map   
Research on IoT device identification based on blockchain
Meijuan CHEN,Xiaorong ZHU
Chinese Journal on Internet of Things. 2018 Vol. 2 (2): 18-26 doi: 10.11959/j.issn.2096-3750.2018.00048
Abstract2313)   HTML34)    PDF (2516KB)(1828)    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( 9705 )   HTML PDF (5806KB) (1747 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( 7491 )   PDF (1257KB) (2368 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( 6256 )   HTML PDF (6218KB) (2015 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( 5327 )   HTML PDF (457KB) (1868 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( 4464 )   HTML PDF (5751KB) (1978 Knowledge map   

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Cpmpetent Unit:Ministry of Industry and Information Technology of the People's Republic of China
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China Institute of Communications
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