Internet Of Things Perception Layer Research Articles

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.

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.

Data Transmission Method of Farmland Production Monitoring System Based on Internet of Things

The invention discloses a data transmission method of farmland production monitoring system based on the Internet of Things, which belongs to the field of agricultural Internet of Things. The agricultural Internet of Things system includes an Internet of Things perception layer, an Internet of Things network layer and an application layer. The Internet of Things perception layer transmits the received information to the application layer through the Internet of Things network layer by wired or wireless network; A plurality of test instruments and equipment collect farmland crop data, and a plurality of wireless transmission modules collect farmland data and transmit them to the data management platform, which queries and calls farmland data in real time. In this design, the obtained field data can be imported into the storage location accurately and quickly, and the data of each site can be collected into a data management platform. It can monitor the equipment status and data quality in real time, reduce the workload of testers and improve the data transmission speed and quality.

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.

Research on Grid High Voltage Harmonic Detection Based on Ubiquitous Power Wireless Network

The intelligent optimized operation of the power grid depends on the ubiquitous perception of the system and complete and correct data support, which is also the most basic requirement that the ubiquitous power Internet of Things perception layer must meet. In the application of ubiquitous power Internet of Things, obtaining complete and correct measurement data is the basis for managing power quality problems. However, in the entire link of the actual grid collection and transmission, data defects will inevitably occur. Based on the background of the ubiquitous power Internet of Things wireless network, the paper adopts the idea of modular programming and divides it into three modules: frequency measurement sampling, waveform display and harmonic display according to the performance indicators of the harmonic analyser. It can measure the frequency of the input AC voltage, perform AC synchronous sampling of the input voltage according to the measured frequency, and display the waveform of the input voltage; and then calculate the harmonics of each order through the FFT algorithm. The simulation found that the proposed control strategy significantly improved the harmonic current content than the traditional d-q positive and negative sequence decoupling control.

A Heterogeneous Image Fusion Method Based on DCT and Anisotropic Diffusion for UAVs in Future 5G IoT Scenarios

Unmanned aerial vehicles, with their inherent fine attributes, such as flexibility, mobility, and autonomy, play an increasingly important role in the Internet of Things (IoT). Airborne infrared and visible image fusion, which constitutes an important data basis for the perception layer of IoT, has been widely used in various fields such as electric power inspection, military reconnaissance, emergency rescue, and traffic management. However, traditional infrared and visible image fusion methods suffer from weak detail resolution. In order to better preserve useful information from source images and produce a more informative image for human observation or unmanned aerial vehicle vision tasks, a novel fusion method based on discrete cosine transform (DCT) and anisotropic diffusion is proposed. First, the infrared and visible images are denoised by using DCT. Second, anisotropic diffusion is applied to the denoised infrared and visible images to obtain the detail and base layers. Third, the base layers are fused by using weighted averaging, and the detail layers are fused by using the Karhunen–Loeve transform, respectively. Finally, the fused image is reconstructed through the linear superposition of the base layer and detail layer. Compared with six other typical fusion methods, the proposed approach shows better fusion performance in both objective and subjective evaluations.

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.

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.

A Lightweight Authentication Method in Perception Layer of IoT Through Digital Watermarking

Introduction of IoT (Internet of Things) has enjoyed vigorous support from governments and research institutions around the world, and remarkable achievements have been obtained till date. IoT systems collect the voluminous amount of data in real time from hospitals, battlefield and daily living environment which is related to privacy and security of people. So, securing collected sensitive data is one of the major challenges in the development of IoT systems. Authenticating the source of collected data is utmost important because the adversary may act as a source which may lead to a breach in security and privacy of people using the IoT network. IoT devices are resource scarce so lightweight methods for network security and privacy need to develop to achieve future development goals. In this paper, a novel lightweight node to node authentication scheme based on watermark is proposed to solve the contradiction between the security and restricted resources of perception layer. To improve the security, Proposed scheme usage node identity and the number of neighbours as input to generate the watermark and use the watermark to calculate the embedding positions which makes node authentication based on temporal dynamics of sensing network. The generated watermark is embedded in fixed size message digest generated using the variable message as input into a low-cost one-way hashing algorithm LOCHA. The embedded bits of watermark extracted at the receiving node and matched to check the authenticity of the sender node. The security analysis and simulations of the proposed scheme show that it can be a good candidate to ensure the authentication of the resource constraint devices which are integral part of Internet of Things at low cost.

Adaptive resource allocation based on the billing granularity in edge-cloud architecture

With the rapid development and popularization of the Internet of Things technology, the number of network edge devices has increased rapidly, and the Internet of Things perception layer has generated massive data. Cloud-Edge collaboration will be used more and more to solve this problem. When the business reaches its peak, cloud computing capabilities cannot meet business needs. The cloud service provider can apply for resources to meet the requirements of the computing resources. After the peak period of the business, if there are idle computing resources, the resources can be released to the cloud service provider, which can reduce the service cost and save the computing resources. The traditional flexible resource management is mainly used in a single cloud environment, and the prediction of the resource demand is insufficient. The factor of the cloud resource billing granularity is neglected, resulting in high cloud lease cost. Therefore, an adaptive resource allocation algorithm and a data migration algorithm are proposed. The prediction algorithm provides the basis for the adaptive resource allocation of the edge cloud cluster. The adaptive resource allocation algorithm determines the resource allocation scheme of the edge cloud cluster with the lowest service cost. The data migration algorithm guarantees the reliability of data and achieves cluster load balancing. A large number of experimental results show that our newly proposed algorithm can greatly improve system performance in terms of better cost control, higher data integrity and load balancing.

ANTspin: Efficient Absolute Localization Method of RFID Tags via Spinning Antenna.

The Global Positioning System (GPS) has been widely applied in outdoor positioning, but it cannot meet the accuracy requirements of indoor positioning. Comprising an important part of the Internet of Things perception layer, Radio Frequency Identification (RFID) plays an important role in indoor positioning. We propose a novel localization scheme aiming at the defects of existing RFID localization technology in localization accuracy and deployment cost, called ANTspin: Efficient Absolute Localization Method of RFID Tags via Spinning Antenna, which introduces a rotary table in the experiment. The reader antenna is fixed on the rotary table to continuously collect dynamic data. When compared with static acquisition, there is more information for localization. After that, the relative incident angle and distance between tags and the antenna can be analyzed for localization with characteristics of Received Signal Strength Indication (RSSI) data. We implement ANTspin using COTS RFID devices and the experimental results show that it achieves a mean accuracy of 9.34 cm in 2D and mean accuracy of 13.01 cm in three-dimensions (3D) with high efficiency and low deployment cost.

Perception layer security in Internet of Things

Abstract Internet of Things (IoT) is one of the rising innovations of the current era that has largely attracted both the industry and the academia. Life without the IoT is entirely indispensable. To dispel the doubts, if any, about the widespread adoption, the IoT certainly necessitates both technically and logically correct solutions to ensure the underlying security and privacy. This paper explicitly investigates the security issues in the perception layer of IoT, the countermeasures and the research challenges faced for large scale deployment of IoT. Perception layer being one of the important layers in IoT is responsible for data collection from things and its successful transmission for further processing. The contribution of this paper is twofold. Firstly, we describe the crucial components of the IoT (i.e., architectures, standards, and protocols) in the context of security at perception layer followed by IoT security requirements. Secondly, after describing the generic IoT-layered security, we focus on two key enabling technologies (i.e., RFID and sensor network) at the perception layer. We categorize and classify various attacks at different layers of both of these technologies through taxonomic classification and discuss possible solutions. Finally, open research issues and challenges relevant to the perception layer are identified and analyzed.

Retracted: Design and implementation of music teaching assistant platform based on Internet of Things

AbstractWith the development of society, Internet of Things (IoT) technology has attracted more and more attention. This paper uses IoT technology to enhance the music teaching assistant platform. Firstly, through analyzing users' requirements for music teaching assistant platform, based on IoT technology, the assistant platform is analyzed, and the wireless information transmission system is established. Secondly, aiming at the consumption of router nodes, the consumption model of nodes is established. By analyzing the energy consumption and service life of router nodes, it is concluded that traditional IoT has great disadvantages. Then, an improved repair strategy of IoT is proposed according to immune algorithm. By comparing three kinds of wireless sensor networks, the improved repair strategy of IoT is better when the number of router nodes is more than 400. When it comes to saving energy, there are great advantages in quantity consumption. Finally, by simulating and analyzing the fault repair of router nodes, it is concluded that the number of effective router nodes in traditional IoT decreases the fastest with the number of simulated runs, followed by energy‐gathering IoT, and the lifetime of effective router nodes in IoT is the longest with the energy‐gathering improved by immune algorithm. This research mainly focuses on the energy consumption of router nodes in the perception layer of IoT, as well as the network immunity and repair mechanism of the system. It improves and designs the traditional music teaching assistant platform, which has certain practical significance.

Clustering Routing Algorithm and Simulation of Internet of Things Perception Layer Based on Energy Balance

Low-energy adaptive clustering routing protocol is a low-power adaptive hierarchical routing protocol designed for IoT, which has the function of extending network life time. In order to balance the energy consumption of wireless sensor network nodes and extend the life cycle of the whole network, the cluster heads are randomly selected in the classical clustering LEACH algorithm of the wireless sensor network of the Internet of Things, and the residual energy, node position and node density of the nodes are not considered. The problem is solved by the research of LEACH protocol, the selection of cluster head and the communication mechanism between cluster head and Sink. An improved clustering routing algorithm of LEACH protocol is proposed. The simulation experiment proves that the improved LEACH algorithm has more energy consumption than the comparison algorithm, the lowest power consumption of the cluster head node, and better network connectivity and reliability.

The Perception Layer Information Security Scheme for Internet of Things Based on Lightweight Cryptography

This paper uses the lightweight (simple cryptography, high security and fast speed single-key cryptographic algorithms such as: RC4, RC5, SMS4 etc.) cryptography, and a security single-key management technology to solve the key update management problems of lightweight cryptography. In smart chip of sensor/RFID reader device and encrypt card of the authentication center in the internet of things(IoT), the device authentication, signature/verification and encryption/decryption protocols are established to ensure the device of sensing layer in IoT is credible, and sense information is credible, integral and confidential. Thus, an information security for perception layer of IoT is built.

A New Digital Watermarking Method for Data Integrity Protection in the Perception Layer of IoT

Since its introduction, IoT (Internet of Things) has enjoyed vigorous support from governments and research institutions around the world, and remarkable achievements have been obtained. The perception layer of IoT plays an important role as a link between the IoT and the real world; the security has become a bottleneck restricting the further development of IoT. The perception layer is a self-organizing network system consisting of various resource-constrained sensor nodes through wireless communication. Accordingly, the costly encryption mechanism cannot be applied to the perception layer. In this paper, a novel lightweight data integrity protection scheme based on fragile watermark is proposed to solve the contradiction between the security and restricted resource of perception layer. To improve the security, we design a position random watermark (PRW) strategy to calculate the embedding position by temporal dynamics of sensing data. The digital watermark is generated by one-way hash function SHA-1 before embedding to the dynamic computed position. In this way, the security vulnerabilities introduced by fixed embedding position can not only be solved effectively, but also achieve zero disturbance to the data. The security analysis and simulation results show that the proposed scheme can effectively ensure the integrity of the data at low cost.