Internet Of Things Perception Research Articles

Evaluation method for insulation degradation of power transformer windings based on incomplete internet of things sensing data

AbstractThis paper proposes a novel evaluation method to address the challenge of evaluating insulation degradation in power transformer windings based on incomplete online Internet of Things (IoT) sensing data. The method leverages the Wasserstein Slim Generative Adversarial Imputation Network with Gradient Penalty algorithm to fill the irregularly missing power transformer IoT perception data, including voltage, current, temperature, and partial discharge. Subsequently, electrical, thermal, and mechanical performance degradation damage indicators for transformer winding insulation are constructed using the filled and complete IoT perception data. By applying the tensor fusion algorithm, the characteristics of these degradation damage indicators are fused, leading to the development of a comprehensive degradation evaluation index for the winding insulation. The evaluation of the winding insulation degradation state is achieved through the minimum quantization error method. The proposed method is validated using the real‐world transformer IoT perception data, and the experimental results demonstrate its ability to accurately assess the degree of winding insulation degradation, regardless of the presence of random or continuous irregularities in IoT sensing data.

IoT Networks-Aided Perception Vocal Music Singing Learning System and Piano Teaching with Edge Computing

The research on Internet of Things (IoT) network and edge computing has been a research hotspot in both industry and academia in recent years, especially for the ambient intelligence and massive communication. As a typical form of IoT network and edge computing, the intelligent perception vocal music singing learning system has attracted the attention of researchers in education and academia. Piano teaching is an important course for music majors in higher education. Strengthening piano teaching can cultivate outstanding piano talents for the country and promote the development of music art. This paper applies IoT perception technology to piano teaching, constructs an intelligent piano teaching system, and uses edge computing algorithms to accurately deploy sensors into the system by exploiting the ambient intelligence and massive communication. The system includes data acquisition, data perception, data monitoring, and other modules, making piano teaching more humanized and intelligent. Experiments show that the research in this paper provides important guidance for the application of IoT networks and edge computing, especially for the ambient intelligence and massive communication.

A computational offloading optimization scheme based on deep reinforcement learning in perceptual network.

Currently, the deep integration of the Internet of Things (IoT) and edge computing has improved the computing capability of the IoT perception layer. Existing offloading techniques for edge computing suffer from the single problem of solidifying offloading policies. Based on this, combined with the characteristics of deep reinforcement learning, this paper investigates a computation offloading optimization scheme for the perception layer. The algorithm can adaptively adjust the computational task offloading policy of IoT terminals according to the network changes in the perception layer. Experiments show that the algorithm effectively improves the operational efficiency of the IoT perceptual layer and reduces the average task delay compared with other offloading algorithms.

A Top-Down Survey on Optical Wireless Communications for the Internet of Things

The Internet of Things (IoT) is a transformative technology marking the beginning of a new era where physical, biological, and digital worlds are integrated by connecting a plethora of uniquely identifiable smart objects. Although the Internet of Terrestrial Things (IoTT) has been at the center of our IoT perception, it has been recently extended to different environments, such as the Internet of Underwater Things (IoWT), the Internet of Biomedical Things (IoBT), and Internet of Underground Things (IoGT). Even though radio frequency (RF) based wireless networks are regarded as the default means of connectivity, they are not always the best option due to the limited spectrum, interference limitations caused by the ever-increasing number of devices, and severe propagation loss in transmission mediums other than air. As a remedy, optical wireless communication (OWC) technologies can complement, replace, or co-exist with audio and radio wave-based wireless systems to improve overall network performance. To this aim, this paper reveals the full potential of OWC-based IoT networks by providing a top-down survey of four main IoT domains: IoTT, IoWT, IoBT, and IoGT. Each domain is covered by a dedicated and self-contained section that starts with a comparative analysis, explains how OWC can be hybridized with existing wireless technologies, points out potential OWC applications fitting best the related IoT domain, and discusses open communication and networking research problems. More importantly, instead of presenting a visionary OWC-IoT framework, the survey discloses that OWC-IoT has become a reality by emphasizing ongoing proof-of-concept prototyping efforts and available commercial off-the-shelf (COTS) OWC-IoT products.

Simple Yet Secure Encoder Architecture and Ultralightweight Mutual Authentication Protocol for RFID Tags in IoT

Internet of things (IoT) has evolved as the internet of everything, and it has grabbed the interest of all the researchers in recent days. Almost all the objects, including nonelectronics devices, can also be connected with the internet through radio frequency identification (RFID) technology. The security of the perception layer is crucial to secure the entire IoT network. RFID-enabled IoT perception layer has secured reader-to-server channel and unsecured tag to reader channel. Hence, securing the unsecured communication channel between the reader and the tag is the need of the hour. This work proposes a simple yet secure permutation approximate adder (SYSPXA)-based RFID mutual authentication protocol to address the need. The proposed protocol dramatically reduces the tag’s storage and computational overhead. It needs 40% less storage and 66.7% less permutation operation in comparison with the existing protocols. Nondisclosure of the key and freshness of key, IDS and random numbers at every mutual authentication process gives resistance to the protocol against de-synchronization attack, disclosure attack, tag tracking, replay attack. The SYSPXA protocol is validated for its security features using Burrows–Abadi–Needham (BAN) logic formal verification. The performance and security of the proposed protocol are contrasted with various futuristic permutation-based protocols, and its superiority over other protocols is highlighted. We have simulated the SYSPXA protocol with ModelSim tool for verifying its functionality. The protocol encoder architecture is implemented in the Intel cyclone IV Field Programmable Gate Array (FPGA) EP4CE115F29C7 device.

Protection and Planning of Historic Districts Based on Internet of Things Perception.

With the development of the Internet of Things era, the Internet of Things technology has been gradually accepted by people and gradually entered the category of block management, but the specific practical application scope is not wide enough. At present, the community management of residents in blocks generally adopts closed management, and there are some problems such as insufficient scope of property management, weak strength, and serious waste of human resources. Incomplete development of the hidden value is of cultural tourism blocks. At the same time, there are still some problems in the traffic management of blocks, such as incomplete monitoring scope and weak supervision. Therefore, this study proposes a bilevel programming model to solve the optimization scheme of block road network, adopts the complete information game model to analyze the imbalance between property and residents, and adopts the AHP fuzzy evaluation method to detect the current life happiness coefficient of urban residents and collect residents' suggestions for the future planning of historical blocks. Because the perception layer of the Internet of Things has the advantages of rapidity, accuracy, and unmanned operation, it can contribute a practical force to the protection and planning of historical blocks quickly and at low cost.

Research on the Impact of Board Governance Model Based on Multi-Internet of Things Perception System on System Risk of Large Business Institutions in China

Corporate governance structure is a subject of great theoretical and practical significance, especially the impact of board characteristics on corporate performance, which has been the focus of scholars’ attention. However, due to the particularity of China’s commercial institutions, especially the state-owned commercial institutions in the transition economy, which have a strong government-led color in system, commercial institutions mainly rely on strengthening the governance of the board of directors to improve the effectiveness of their internal governance. Based on the basic principles of the Internet of Things (IOT) business environment, this paper divides the architecture of multiple IOT perception system into perception domain and business domain. This paper studies the development mode of the economic and business perception system stage of the Internet of Things: the primary stage, the growth and maturity stage, and the integration stage. Strengthen the establishment of an independent director system, create an environment in which independent directors exercise full power, strengthen penalties for violations of directors, strengthen the integrity of directors, and establish a scientific and reasonable board evaluation mechanism. The effective operation of enterprises is based on the perfect market rules and a good market order. The reform of state-owned enterprises with the core of establishing a modern enterprise system and improving corporate governance structure must be carried out simultaneously with the construction of market systems.

Data Security and Preservation Mechanisms for Industrial Control Network Using IOTA

In the Internet of Things (IoT), many devices can communicate with each other directly through the Internet, and there are already good applications in transportation systems, smart meters, and smart home appliances. Wireless sensor networks are used in these Internet of things applications. Playing a vital role, the upload of data requires multiple layers of transmission to reach the cloud. In the industrial control field, many IoT devices upload data to the cloud for storage, but the upload process is easily tampered with, and centralized cloud services also have security concerns. In addition, in the local IoT perception layer among them, the security of sensor identity verification is also very important for message transmission. The main reason why the past blockchain technology could not be widely used in industrial control and other application fields is the cost considerations, because the procedures for running blockchain nodes and uploading transactions are too expensive. Therefore, this paper proposes an IoT architecture based on the IOTA Tangle network to solve the centralization problem of IoT storage in the cloud, and uses the method of MAM (Masked Authenticated Message) to trace the information of WSNs, while achieving data security and data preservation. In the edge devices of WSNs, because of the insufficient memory and computing performance of many devices, it is impossible to perform proof of work calculations. Therefore, this paper uses the logical key hierarchy-based method to manage the sensors, and applies symmetric and asymmetric encryption in blockchain. The identity verification of the device can be effectively achieved, and the operating cost can be effectively reduced.

A Remote Attestation Mechanism Using a Threshold Ring Signature for a Perception Layer of Distributed Networking

Due to the emergence of various new technologies, Internet of things (IoT) is gradually becoming one of the most valued technologies at present. The IoT makes our life more and more convenient through the interconnection of everything, but the IoT brings many advantages and also raises some security issues, such as the IoT perception layer as the main means of sensing data delivery, due to the limited resources of sensing nodes and their vulnerability, the diversity of sensing data, and the heterogeneity of the sensing network, making the IoT perception layer more vulnerable to various malicious attacks. Therefore, guaranteeing the trustworthy source of sensing data is the cornerstone to guarantee the secure operation of the sensing layer. In this paper, we investigate the remote proof scheme applicable to the IoT perception layer and propose a remote attestation mechanism using a threshold ring signature for a perception layer of distributed networking, which realizes the trusted proof of a data source and thus can effectively discern the trusted status of the data source, and prove that the proposed scheme in this paper outperforms other remote proof schemes through efficiency analysis and verify the correctness as well as the effectiveness of the scheme in this paper.

Utilizing the Improved QPSO Algorithm to Build a WSN Monitoring System

This research uses the improved Quantum Particle Swarm Optimization (QPSO) algorithm to build an Internet of Things (IoT) life comfort monitoring system based on wireless sensing networks. The purpose is to improve the quality of intelligent life. The functions of the system include automatic basketball court lighting system, monitoring of infants’ sleeping posture and accidental falls of the elderly, human thermal comfort measurement and other related life comfort services, etc. On the hardware system of the IoT, this research is based on the latest version of ZigBee 3.0, which uses optical sensors, 3-axis accelerometers, and temperature/humidity sensors in the IoT perception layer. In the network transmission layer, the central network architecture is used for connection. In the application layer, we have designed a graphical interface for real-time values and information that can be read at any time and place using mobile devices. In this study, authors use the improved QPSO algorithm in the calculation part, so that the target can be effectively positioned outside the numerous surveillance data. This study uses various sensor data fusion technologies to make the IoT system becomes able to provide more extensive and even better services than ever before. In short, this research work has proven to be an effective way to reduce power consumption, improve medical quality and provide higher comfort for intelligent lift level.

AI-empowered IoT Security for Smart Cities

Smart cities fully utilize the new generation of Internet of Things (IoT) technology in the process of urban informatization to optimize the urban management and service. However, in the IoT system, while information exchange and communication, wireless sensor network devices may not be able to resist all forms of attacks, which may lead to security issues such as user data disclosure. Aiming at the information security risks in smart city, the typical technologies in IoT is analyzed from the perspective of IoT perception layer and provides corresponding security solutions for the existing security threats. Regarding the communication security, the emerging wireless technology, long range (LoRa), is discussed, and the performance of wireless communication protocol is analyzed through simulation experiments, to verify that the IoT technology based on LoRa communication technology can improve the security of the system in the construction of smart city. The results show that REBEB, a new backoff algorithm, is similar to the binary exponential backoff algorithm in terms of throughput performance. REBEB focuses more on fairness, which is up to 0.985, and to a certain extent, its security is significantly improved. The fairness of REBEB algorithm is more than 0.4 in different nodes and competing windows, and the fairness of the system is better when the number of nodes is small. To sum up, the IoT system based on LoRa communication can effectively improve the security performance of the system in the construction of smart city and avoid the security threats in the IoT signal transmission.

Experimental study on simulation test system and electrostatic monitoring of rub fault of air circuit of engine based on the IoT perception

Aeroengine gas-path fault is a critical engine fault, which can seriously affect the normal operation of the engine and threaten flight safety. Due to aeroengine working characteristics, friction faults probably occur between the rotor and stator during aeroengine operation. Therefore, it is crucial to accurately and quickly judge the friction fault for the entire engine fault. According to aeroengine friction fault mechanism, a friction fault monitoring technology was proposed based on the electrostatic induction principle to solve the problem that the friction fault of aeroengine blades is difficult to monitor online. The Internet of things (IoT) technology was employed to acquire data from equipment and state information, and a friction fault test system was developed to simulate electrostatic monitoring of gas-path high-speed airflow and multi-impact loads. Then, a test bench was designed to conduct electrostatic monitoring experiments of multi-group friction under different rubbing modes, different materials and different rubbing degrees. Application of the IoT technology can fulfill real-time monitoring of the operation state of equipment and reveal the defects of large equipment, promoting the merge of IoT with the manufacturing industry and pushing IoT development towards a more transparent and intelligent future.

The prediction of water conducted zone in coal mining by Internet of things perception

To ensure that water resources are not damaged during coal mining, the height of the water conducted zone in coal mining is explored in this study. When mining coal mines, the height of the water conducted zone is complex and unstable when making predictions. Therefore, the Internet of things perception technology is applied to solve the problem of inaccurate data collection. Moreover, the multiple regression analytical method is introduced to obtain the prediction equation for the height of the water conducted zone. The research results show as follows: by using the Internet of things sensing technology, when collecting data, the redundant and error data can be excluded before the data fusion, which can improve the validity of the data. The multiple regression analysis methods are used to summarize and conclude the data by using the linear regression method; therefore, the obtained prediction equation can accurately predict the height of the water conducted zone, which solves the problem caused by using traditional empirical equations in coal mining in the past that leads to a large error in the prediction height. By using the Internet of things perception technology to predict the height of the water conducted zone in coal mining, the collected data are more accurate and the prediction results are more effective. Therefore, this method can effectively protect water resources during coal mining.

SNPL: One Scheme of Securing Nodes in IoT Perception Layer.

The trustworthiness of data is vital data analysis in the age of big data. In cyber-physical systems, most data is collected by sensors. With the increase of sensors as Internet of Things (IoT) nodes in the network, the security risk of data tampering, unauthorized access, false identify, and others are overgrowing because of vulnerable nodes, which leads to the great economic and social loss. This paper proposes a security scheme, Securing Nodes in IoT Perception Layer (SNPL), for protecting nodes in the perception layer. The SNPL is constructed by novel lightweight algorithms to ensure security and satisfy performance requirements, as well as safety technologies to provide security isolation for sensitive operations. A series of experiments with different types and numbers of nodes are presented. Experimental results and performance analysis show that SNPL is efficient and effective at protecting IoT from faulty or malicious nodes. Some potential practical application scenarios are also discussed to motivate the implementation of the proposed scheme in the real world.

Dynamic monitoring system of high slope of rock and soil based on internet of things perception

A large number of high slopes will be formed in the construction of expressways in many mountainous areas, which is very unfavorable to the construction of local expressways. Effective monitoring methods are essential to solving these problems, and the Internet of Things technology is a good dynamic monitoring method. Therefore, it is necessary to carry out research on the dynamic monitoring system of rock and soil high slope based on the Internet of Things perception. The purpose of this article is to solve the problem of dynamic monitoring of high slopes, taking highway slopes in Chongqing as an example, making full use of the literature method, field investigation method, regression analysis method, time series analysis method, and theoretical analysis method. Through real-time monitoring of the entire process of rock and soil high slope construction in different locations in a certain area in the southwest, and continuously adjusting and verifying the monitoring situation and solving related problems, the high slope instability at this point was accurately monitored And at any time find the weak links in the construction process of high slopes, and further find its potential quality and safety risks, and then establish a comprehensive monitoring system and early warning system. The research results show that this comprehensive monitoring and early warning system improves the accuracy of early warning and monitoring from qualitative judgment to quantitative analysis and from macro to micro monitoring, and can provide a reference for other types of projects.

Design and Implementation of Port Bulk Storage Management System Based on Internet of Things Technology

Mao, Y. and Zheng, L., 2019. Design and implementation of port bulk storage management system based on Internet of Things technology. In: Li, L.; Wan, X., and Huang, X. (eds.), Recent Developments in Practices and Research on Coastal Regions: Transportation, Environment and Economy. Journal of Coastal Research, Special Issue No. 98, pp. 62–66. Coconut Creek (Florida), ISSN 0749-0208.This paper builds the overall architecture of the warehouse material management system based on the Internet of Things (IoT) technology, and deploys the radiofrequency identification (RFID) data acquisition system that acts as the IoT perception layer. Furthermore, RFID middleware is structured. By analyzing the current status and management content of warehouse management, the design scheme of the IoT technology warehouse management system is proposed, and the hardware circuit design of the IoT is carried out, which provides ideas for the application of the IoT technology in the warehouse management system of bulk cargo terminals.

Ad Hoc Network Routing Technology in the Internet of Things

The internet of things perception and recognition by the ubiquitous information to the physical world. Ad Hoc provide suitable network environment to the internet of things, whose routing protocol Protect data transmission efficient and reliable. This paper not only analyzes the particularity of Ad Hoc network technology in the Internet of Things, but also simulates AODV and DSDV in test environment to analysis the communication performance in the internet of things.

Research on Coal Mining Material Active Perception System Based on IOT and Coal Resources

The framework of initiative coal mining system based on the perception layer of Internet of things (IOT), took the way of combination initiative acquisition, with timing and real time to implement “people, ring, and material” perception of the underground of coal mining is proposed. On this basis, coal mining material active perception system is designed. This system applies computer and IOT perception instead artificial operation in the current coal manufacturing equipment and material field. It is analyzed that design concepts of coal mining material active perception system, function and characteristics, system structure, information collecting, data synchronization and EPC coding of coal manufacturing equipment and material.