最新刊期
卷 2 ， 期 4 ， 2018
- 摘要：Based on the in-depth study of the technical connotation of the integration of manufacturing industry and Internet,the technical bottleneck of the integration was put forward from four perspectives of the concept,method,goal and achievement of the deep integration.In view of different fields,ten key technologies of deep integration of manufacturing industry and Internet were analyzed in detail.And the different scenarios of key technology application were given.关键词：manufacturing;Internet;integrated development;key technology1535|1727|0更新时间：2024-06-05
Frontier and Comprehensive Review
- 摘要：Smart identifier network (SINET) is an innovative network architecture.Through dynamic collaboration of service resource,function groups and physical components,the network scalability,resource utilization and service quality were effectively improved by SINET,and an effective solution for the development of industrial Internet of things(IoT) could be provided.To promote content delivery in resource-constrained IoT,caching function was introduced in network components by SINET,and the bandwidth waste caused by traffic redundancy in resource-constrained node could be reduced.Therefore,how to efficiently cache content became an important research topic.Based on SINET architecture,a crowd-based collaboration cache (C2Cache) mechanism was proposed in this scheme.According to the actual network topology,the caching function group was dynamically created and optimized by C2Cache,and a function group as crowd minimum unit to execute the maximum benefit cache (MBC) algorithm was defined to maximize the caching space efficiency.With the self-developed emulation system,named EmuStack,the performance of C2Cache was evaluated.The experimental results show that,comparing with LCE,Random,Prob Cache,LCD and Greedy caching mechanisms,the cache hit rate can be improved effectively,then the average access time can be reduced significantly by C2Cache.In the simulated network scenario,the performance increases 15% to 30%.关键词：smart identifier network;in-network cache;crowd-based collaboration;maximum benefit cache1139|1327|0更新时间：2024-06-05
- 摘要：Given the advantages of low cost and easy deployment,large-scale Internet of things (IoT) has been deployed for environment monitoring pervasively.Within such systems,cloud platform is typically utilized as a remote data and control center.However,tremendous amount of data uploading and processing induce huge challenges on bandwidth load and real-time data gathering.In order to overcome these challenges,edge computing enabled IoT system architecture was proposed for environmental monitoring.As the intermediate layer,local processing could be supported for end devices with low latency and assist with preliminary analysis to offload computational tasks from cloud and the amount of data uploading could be reduced.Based on this system architecture,an autoencoder neural network-based abnormal data detection scheme was developed newly.Performance evaluation has been conducted based on the practical oceanic atmospheric data.Simulation results indicate that the proposed scheme can accurately detect the abnormal data by fully exploiting the spatial data correlation.关键词：autoencoder neural network;abnormal data detection;edge computing;IoT2631|1801|0更新时间：2024-06-05
- 摘要：Based on the concepts and related techniques of Internet of things (IoT),tracking the development tendency of the satellite IoT and LEO constellation communication system abroad,and the deployment of the integrated satellite-terrestrial information network in China,the concept of space Internet of things (Space IoT) with its framework and main characteristics was proposed.Space IoT has the different concept compared to the traditional IoT,not just using the relay satellite to implement remote machine-to-machine communication.Space IoT is a ubiquitous IoT system under the integrated satellite-terrestrial information network architecture,and an expansion of the terrestrial IoT in the global three-dimensional world,and a service and application platform of multiple information technologies.With the recently era of big data,the space IoT has to face some data storage and transmission problems,such as excessive system load,data loss,frequent link interruption,high energy consumption,etc.Establishing a space-oriented IoT integrated distributed storage and transmission system was to meet the requirements of security guarantee and cross-domain interconnection with massive information businesses.Development status of related technologies were illustrated.At last,the prospect and thought of the future research of space Internet of things were presented.关键词：satellite Internet of things;integrated satellite-terrestrial network;space Internet of things;distributed storage,distributed transmission1650|1766|0更新时间：2024-06-05
- 摘要：In response to the demand of wide coverage and massive access,low bandwidth and low power consumption is an important research direction to solve this problem.In smart cities,security monitoring and other application areas,video surveillance based on the region of interest of the face are particularly important.It is a feasible direction to realize the extraction of scene elements,transmission of key information with very low bandwidth and the application of video technology in the Internet of things environment through the strategy of multi-stream differential coding.By designing a face-oriented variable resolution hybrid coding algorithm,the bandwidth could be saved and the power consumption could be reduced greatly,the access requirements of narrowband Internet of things could be met.Through the face detection algorithm based on the deep learning Caffe framework,the face region of interest was acquired in key frames,and the face image was encoded with high resolution.By designing the code rate adaptive allocation algorithm,the bandwidth was utilized rationally,and the encoded face information and the full background content were distinguished.The encoded mixed code stream information was transmitted through the narrowband; the key frame-based face enhancement decoding algorithm was adopted at the receiving end to obtain a partial HD high-definition monitoring picture.Experiments show that when the video encoded by the proposed method is transmitted in a narrow band whose transmission rate is 120~160 kbit/s,the face image can maintain the same definition as the original HD monitoring acquisition end,which has strong practicability.关键词：NB-IoT;surveillance video;variable resolution;video coding;face detection1551|940|0更新时间：2024-06-05
- 摘要：By pushing computing,storage and other resources to the proximity of end devices,edge intelligence empowers network edge entities powerful information processing and content delivery capabilities,while providing efficient and low-latency service support for the development and implementation of novel mobile services.Thus,edge intelligence is profoundly changing the functions of mobile applications and the utilization patterns of network resources.The application of edge intelligence technology in vehicular networks was studied firstly,and the core scientific problems that need to be solved in designing an efficient vehicular edge system was presented.Then,the technical challenges faced in solving these problems were analyzed and the corresponding solution strategies were given.关键词：edge intelligence;vehicular network;resource synergy;block chain3391|2758|0更新时间：2024-06-05
- 摘要：Aiming at the timing signal problem of single intersection,a timing method based on the improved Webster algorithm in transportation Internet of things was proposed by combining the micro level analysis method with the macro level analysis method.In order to optimize the saturation and signal control delay,the average delay model was established.The game model and the conflict model were established with non-signal control and signal control.And the conflict analysis was carried out to illustrate that the optimal signal timing could coordinate the conflicting traffic flow.Based on the improved Webster algorithm,the shortest time required for the motor vehicle to pass the single intersection was additionally considered and a three-step optimization method for timing method at single intersection was proposed to reduce the traffic delay to ensure that the vehicle could pass effectively.The simulation results illustrate the effectiveness of the proposed solution.关键词：Webster;single intersection;signal timing;conflict analysis976|1114|0更新时间：2024-06-05
- 摘要：With the continuous development of the Internet of things,the concept of “things” has also expanded to academic data.Due to the massiveness of IoT node and the complexity of node relationships,it is difficult for users to obtain further analysis of the required information directly from these interconnected academic data.As an academic search system,in order to help users obtain comprehensive academic information,personalized inquiry and real-time results generation services were provided to users by AceMap through the self-developed AceKG academic knowledge map.At the same time,AceMap presents the relationship between academic data visually in the form of academic maps (such as paper maps,author maps,etc.),and users are helped to get the information they need efficiently.关键词：internet of things;academic big data;visualization;knowledge map2144|1357|0更新时间：2024-06-05
- 摘要：Flow control is very important to ensure quality of service in cloud service system.A dynamic two-level flow control strategy was proposed.Using the improved minimum connection number algorithm based on the actual cloud service system,the integrated load of the service node was calculated,load balancing was performed on each service node and the load was distributed reasonably.Within the service node,a dynamic hierarchical threshold adjustment strategy was proposed to control traffic dynamically.The actual cloud service system performance test shows that with the dynamic two-level flow control strategy,the RPS of the service node is significantly better than the RPS without the strategy,and the resource utilization of the service node is improved.关键词：load balancing;dynamic adjustment;flow control;cloud service system698|903|0更新时间：2024-06-05
- 摘要：Channel state information can provide more detailed sub-carrier information,which attracts the attention of researchers in indoor localization technology.In view of the shortcomings of the traditional indoor location method in the accuracy and stability of the complex indoor environment,an indoor localization method named ComLoc was proposed which could be applied to complex indoor environment,solved the influence of the multipath effect and noise interference on the positioning precision.The error of CSI signal was discussed,the sensitivity of CSI phase information to indoor environment was analyzed and the idea of trusted carrier link was proposed.By selecting reliable and stable link signal by phase difference,the misjudgment of position could be reduced.Based on many numerous experiments,the phase error of CSI was calibrated,and the characteristics of signal variation were extracted.The experimental results show that ComLoc is effective and efficient in the complex indoor environment.关键词：complex indoor environment;indoor localization;channel state information;phase calibration1656|1711|0更新时间：2024-06-05
- 摘要：The complexity of the actual antenna pattern imposes restrictions on investigating the benefits of directional antenna arrays in large-scale networks.Hence,a novel multi-level flat-top antenna pattern was proposed to approximate and simplify the actual one and was applied in millimeter-wave cellular networks for performance analysis.To fully characterize the impact of the directional antenna array on the user performance,stochastic geometry was adopted to establish an analytical framework for millimeter-wave cellular networks and derive the coverage probability and transmission rate of the typical user with the proposed multi-level flat-top antenna pattern,including the exact and bounding expressions.The simulation results show that the proposed antenna pattern provides a better tradeoff between the accuracy and tractability than previous patterns.关键词：antenna pattern approximation;performance analysis;stochastic geometry;millimeter wave1326|941|0更新时间：2024-06-05
Theory and Technology
- 摘要：Agricultural Internet of things (IoT) is an important area of IoT applications,and it is also one of the important application scenarios for telecommunication operators to accelerate the cultivation of emerging services.The current situation and development trend of agricultural in China were summarized in the proposed scheme,and the main business areas and research focus of intelligent application were analyzed.The portrait of the telecommunication operators was analyzed,and the main work of the major operators in expanding smart agriculture was summarized.Finally,the ways of communication operators were explored to cut into the agricultural field.关键词：agricultural Internet of things;communication operator;business scenario;capability open platform;business model;technological innovation1095|970|0更新时间：2024-06-05
- 摘要：The mine is a complicated environment.The intelligent recognition of such behavior requires not only the data-driven activity recognition method,but also the machine-readable domain knowledge based approach.However,the data of IoT for mines lacks the semantic information.Besides,there is no standard way of describing the worker’s context and representing the knowledge of worker’s unsafe behavior.In order to solve the above problems,a semantic ontology based approach to describing the worker’s context and a hybrid method based framework for worker’s unsafe behavior recognition were presented.This method combines the data-driven approach and the knowledge-driven approach.Firstly,an introduction to the semantic ontology in the Internet of things was given.Then,the importance and necessity of worker’s unsafe behavior recognition was introduced.After that,the research background on human activity recognition,context-awareness and semantic ontology was presented.This was followed by the semantic ontology based approach to the worker’s context description.Based on the context modeling,the framework that combined the data-driven method and the knowledge-driven method for the worker’s unsafe behavior recognition was proposed.The application of the framework was illustrated with the recognition of a kind of worker’s unsafe behavior who don’t wear the protective and safety equipment.Finally,the conclusions were drawn and the prospect of using the artificial intelligence method in the application layer of mine IoT was presented.关键词：mine Internet of things;unsafe behavior;activity recognition;ontology;artificial intelligence902|908|0更新时间：2024-06-05
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