5G Internet Of Things Research Articles

Enhancing IoT connectivity through spectrum sharing in 5G networks

The integration of the Internet of Things (IoT) into high-performance devices and monitoring systems, spanning domains such as smart building, e-health care, and smart agriculture, necessitates a critical emphasis on advancing mobile communications through efficient spectrum utilization. This research addresses pivotal challenges within agricultural IoT applications, specifically focusing on the substantial decline in spectrum efficiency observed with the increasing escalation of network bandwidth. Acknowledging the absence of comprehensive reviews on 5G resource allocation strategies in the existing literature, our study aims to contribute to a nuanced understanding of their implications for service quality. The identified research gaps underscore an urgent need for heightened efforts to optimize resource allocation in 5G networks. This investigation delves into the intricacies of spectrum sharing and real-time analysis techniques within the 5G and beyond network, with a targeted focus on augmenting agricultural IoT services. Three distinct models, namely (i) Non-Priority Algorithm (NPA), (ii) Reserved Channel Algorithm (RCA) - No Permanent Channels, and (iii) Reserved Channel Algorithm (RCA) - Permanent Channels, were meticulously designed and simulated for Agricultural IoT application scenarios. The methodology encompasses the comprehensive evaluation of performance metrics, including call blocking, termination, and handover, to strategically identify and allocate spectrum resources effectively. The research endeavors to address ongoing challenges pertaining to effective communication, standardization, and data management for diverse 5G IoT devices. In light of these persisting concerns, the study not only seeks to enhance the overall efficiency of 5G IoT networks but also proposes innovative perspectives on intelligent and ingenious spectrum allocation techniques. The anticipated outcomes pledge to optimize the utilization of limited spectrum through novel spectrum-sharing strategies, thereby contributing to the advancement of 5G networks and bolstering agricultural IoT devices and services.

THE FUTURE OF MOBILE CLOUD COMPUTING: KEY IMPLICATIONS AND CHALLENGES

This research aims to examine the future development of Mobile Cloud Computing (MCC) and identify the key implications and challenges that this technology will face. In the face of the technological revolution, especially with the adoption of 5G networks and integration with the Internet of Things (IoT), MCC has the potential to transform various industry sectors. The study employs a qualitative methodology through a literature review and semi-structured interviews with experts in cloud technology, mobile computing, and technology policy. The literature review is conducted to understand the latest technological trends and the challenges faced by MCC, while interviews provide direct insights from industry practitioners and policymakers about the future of MCC. The research findings indicate that MCC will increasingly integrate with 5G technology and IoT, enabling the adoption of more complex applications such as augmented reality (AR), virtual reality (VR), and artificial intelligence (AI). However, several key challenges need to be addressed, such as data security issues, reliance on network infrastructure, and regulations that are not yet fully adaptive to MCC developments. Experts emphasize the importance of enhancing security standards, developing edge computing to reduce latency, and fostering collaboration between governments and industry to create policies that support innovation.

Decomposition and reconstruction algorithms for IoT reliability analysis utilizing 5G technology for smart cities

Internet of Things (IoT) and 5G communication technologies in smart cities deliver promising services for heterogeneous applications. The application reliability banks on uninterrupted and seamless services experienced by the users. However, the increasing smart city application demands influence the experience reliability through augmented wait times. This article therefore introduces a Coherent Reliability Service Broadcasting Technique (CRSBT) for sustaining constructive application services. This technique incorporates linear regressive and digressive learning for application service improvements and restrictions. Based on the demand, the regressive process verifies the wait time and with the reducing demands, the service broadcast ratio is verified. These two factors are verified post the demand and response through 5G resource allocations and IoT computations. Both the service-oriented features are validated for regressive service broadcast and either of the one is used for digressive response. The coherence between the computations (IoT) and resources (5G) is verified on-demand and linearly. Therefore, the proposed technique is reliable in sustaining service broadcast, less wait time, and maximum flexibility.

5G Internet of Things (IoT) And Its Impact to Agricultural Technology: Basis for Strategic Plan

This study explored the integration and impact of 5G-enabled Internet of Things (IoT) technology in agricultural practices in Hainan Province, China, through a quantitative descriptive approach. The study encompasses responses from the participants, including farm managers, agricultural technology experts, and farm owners. It delves into the demographic and professional profiles of these respondents, revealing a majority in the 35-44 age group, predominantly female, with a significant number holding college degrees or higher and mostly farm owners. The impact of 5G-enabled IoT on agricultural technology is generally perceived positively by respondents. The shared understanding of 5G's potential positive influence on agricultural productivity, compatibility with existing setups, and operational performance underscores the transformative capabilities of this technology. However, the study also identifies challenges, including concerns regarding cost effectiveness, accuracy, and risk/security, which pose significant hurdles to the widespread adoption of these technologies. The proposed strategic plan suggests targeted outreach, awareness programs, and the development of innovative financing models and cybersecurity measures to foster a conducive environment for the adoption of 5G IoT in agriculture. In conclusion, the study provides insights into the current perception and impact of 5G-enabled IoT in agriculture, coupled with actionable recommendations to navigate the challenges and maximize the technology's potential benefits. This comprehensive approach aims to support stakeholders in the agricultural sector in leveraging 5G IoT for enhanced productivity and sustainability.

Enhancing honeynet-based protection with network slicing for massive Pre-6G IoT Smart Cities deployments

Internet of Things (IoT) coupled with 5G and upcoming pre-6G networks will provide the scalability and performance required to deploy a wide range of new digital services in Smart Cities. This new digital services will undoubtedly contribute to an improvement in the quality of life of citizens. However, security is a major concern in IoT where low-powered constrained devices are a target for attackers who identify them as a vulnerable entry point to exploit the network weaknesses. This concern is exacerbated in Smart Cities where it is expected to deploy millions of heterogeneous yet unattended and vulnerable IoT devices throughout vast urban areas. A security breach in a Smart City allows attackers to target critical services such as the power grid network or the road traffic control or to expose sensitive health data to intruders. Thus, the security and privacy of citizens could be seriously compromised. Honeynets are an effective security mechanism to distract attackers from legitimate targets and collect valuable information on how they operate. Meanwhile, current honeynets lack functionality to protect the real and lure networks from large-scale volumetric Distributed Denial of Service (DDoS) attacks. This paper provides a novel solution to empower honeynet security tools with Network Slicing capabilities as an innovative way to isolate and minimize the network resources available from attackers. The proposed system supports the ambitious IoT scalability requirements associated to 5G networks and the forthcoming 6G networks. The solution has been empirically evaluated in a emulated testbed where promising results have been achieved when dealing with mMTC and eMBB traffic profiles. In mMTC scenarios where scalability is a challenge, the solution is able to deal with up to 1000 slices and 1 Million IoT devices sending traffic simultaneously. In eMBB use cases, the solution is able to cope with up to 19 Gbps of combined bandwidth. The gathered results demonstrate that the proposed solution is suitable as a security tool in 5G IoT multi-tenant infrastructures as those expected in Smart Cities deployments.

An intelligent mechanism for dynamic spectrum sharing in 5G IoT networks

Amid the rapid advancement of wireless network technologies, the forthcoming ubiquity of the Internet of Things (IoT) necessitates the development of sophisticated architectural frameworks and algorithms capable of handling the associated spectrum management complexities. This study proposes an innovative Mobile Broadband Internet of Things (MBIN) architecture, designed to facilitate efficient progression of the impending IoT revolution. The centerpiece of this architecture is a ground-breaking Advanced Cloud-Enabled Double Auction (ACEDA) algorithm. Deployed within the MBIN framework, this mechanism optimizes the sharing of spectrum resources, thereby enhancing the performance of the IoT structure. Theoretical grounding, algorithmic implementation, simulation results, and user satisfaction analysis are discussed in-depth to validate the efficacy of this approach.

Design and analysis of a small size triple band printed antenna for 3G/4G/5G/future 5.8G IoT applications

SummaryThis paper presents a compact (20 × 20 × 1.59 mm3), (0.34λg × 0.34λg × 0.01λg at 2.4 GHz) triple band monopole antenna for Internet of Things (IoT) applications. The geometry of the antenna consists of (i) U‐shape monopole with feed line, (ii) stubs, and (iii) modified ground to achieve three independent operating bands ranging from (i) 2.4–2.48 GHz for industrial, scientific, and medical (ISM)/3G; (ii) 3.4–3.6 GHz for 4G/5G; and (iii) 5.725–5.825 GHz for 5.8G Wi‐Fi/extended 5G. Various parameters, input impedance, and current distribution of the proposed structure are carried out to investigate the effects of stub, ground plane and analyze the radiation. The measured result covers the three individual bands in range of 2.38–2.48 GHz, 3.41–3.61 GHz, and 5.76–6.04 GHz, respectively, and exhibits stable omnidirectional radiation patterns, acceptable antenna gain, and efficiency in the operating bands. The experimental result of the fabricated antenna closely matches with the simulated result. Therefore, satisfactory result ensures its ability to work for 3G/4G/5G/extended 5G IoT portable applications.

Security Concerns of IoT Against DDoS in 5G Systems

The Internet of Things (IoT), which enables seamless connectivity and communication between gadgets and the internet has completely changed how people interact with and use technology in 5G. Distributed Denial of Service (DDoS) assaults are now recognized as a serious security concern because of the rapid expansion of IoT devices, which has also brought about new security issues. DDoS attacks plan massive, coordinated attacks that overwhelm target systems and impair their functions by taking advantage of the interconnectedness of IoT devices. This paper explores the vulnerabilities in IoT devices and their possible exploitation by hostile actors, providing an in-depth examination of IoT and DDoS assault dynamics in 5G. The report emphasizes the need for preventative security measures by highlighting the growing size and complexity of DDoS attacks employing compromised IoT botnets. The examination of various DDoS attack channels and methodologies against IoT devices sheds light on the growing strategies used by attackers to infiltrate and manage IoT botnets. To emphasize how urgent it is to mitigate such risks, the effects of DDoS assaults on vital infrastructures, companies, and end-users are also emphasized. The paper also evaluates current mitigation techniques and security safeguards intended to counter IoT-based DDoS attacks. These include the use of security in Nexus that prioritize device authentication, encryption, and secure communication protocols as well as network traffic filtering and anomaly detection. Relevant case studies and real-world examples are provided to give readers a thorough understanding of the topic while demonstrating the scope and effects of recent IoT-based DDoS attacks. The paper guides different approaches through which DDOS can harm the server/ system (or anything, which is belonging to the family of the Internet of things) through different types; DDOS can be minimized but impossible to overcome. In this paper, we also have proved that due to IOT, the ratio of DDOS has increased by implementing these measures and continuously monitoring the network for potential threats. 5G systems can enhance their security posture and provide a safer and more reliable communication infrastructure for users and businesses by mitigating DDoS.

A large-scale MIMO antenna system for 5G IoT applications.

A multiple-input-multiple-output (MIMO) antenna system with low-profile and small element spacing characteristics is presented in this paper. This antenna contains multiple elements arranged in both E-plane and H-plane configurations. The original strong coupling between the MIMO elements can be suppressed by exciting orthogonal operating modes. To achieve this, a half-wavelength microstrip line and a quarter-wavelength grounded stub are utilized to decouple the H- and E-plane MIMO arrays. A 2 × 2 antenna prototype is fabricated and measured to demonstrate the decoupling concept's feasibility. The measured impedance bandwidth is from 4.78 to 4.81 GHz. Across this band, the isolation is better than 15 dB with extremely small edge-to-edge distances of 0.032λ and 0.026λ in the E- and H-plane, respectively. Featuring the simple decoupling structure, small element spacing, and the capability of extending to a large-scale 2 × N array, the proposed antenna can be used for 5G Internet of Things (IoT) applications operating at the N79 frequency band.

A Millimeter-Wave Wideband Antenna Module With Switchable Fan-Beam Radiation for Wide Coverage of 5G IoT Applications

Millimeter wave (mm-wave) antenna modules with switchable beam radiation provide a potential solution for enabling flexible wireless links and high data rate in Internet of Things (IoT) networks. Aiming to simultaneously fulfill a wide coverage and follow the cost-effective principle of IoT devices, a novel mm-wave wideband antenna module with switchable fanbeam radiation is proposed based on an air-filled planar Cassegrain beam-former. A comprehensive design procedure combing the theoretical calculation and differential evolution (DE) algorithm is first introduced to construct the beam-former with wide-angle scanning capability. The desirable apertureshared switchable fan-beam radiation with high crossover is then obtained with the aid of a proposed two-feed-per-beam (2FPB) scheme based on a low-loss integrated switch network. A prototype of the antenna in the Ka-band is fabricated by simultaneously adopting the metallic three-dimensional (3D) printing and printed circuit board (PCB) technology. Excellent operating characteristics, including a wide bandwidth of more than 32%, twenty stable fan-shaped radiation beams scanning over a wide angular range of ±45∘ in the H-plane, a high beam crossover of about -3 dB, a gain of up to 19.6 dBi, and a radiation efficiency of greater than 80% are demonstrated experimentally. With the ability to fulfill the radio coverage within a wide conical area, the presented antenna module would be an attractive candidate for the fifth generation (5G) IoT applications.

Retracted: Soil Pollution Detection and Waste Classification Management of Environmental Protection Enterprises Based on 5G Internet of Things

Retracted: Soil Pollution Detection and Waste Classification Management of Environmental Protection Enterprises Based on 5G Internet of Things

Data Privacy, Conceptual Framework for IoT Based Devices in Healthcare: A Systematic Review

With the rollout of the Fifth-Generation network, more Internet of Things (IoT) devices tend to increase, which increases the amount of data being shared by the devices. It is complex to secure data transmission and device-to-device communication due to the vast number of IoT devices and the complexity of networks. The Internet of Things (IoT) has evolved to enable everyday things and gadgets to connect digitally and communicate with one another, using technologies that send, gather, and analyse data from people using those objects and devices. IoT data privacy risks are widespread use. The primary objective of information technology (IT) security in Web 2.0 was to ensure the privacy, accuracy, and reliability of systems and communications. As a result of IoT devices’ often limited CPU power for longer-lasting activities, these conventional metrics, however, exhibit measurable constraints. IoT security is, therefore, critical in the context of guaranteeing security through the data privacy of IoT users. The author conducted a literature methodological analysis on the data privacy framework that will help to safeguard the 5G IoT-enabled devices on user data, technologies for data privacy in 5 G-based IoT devices, data privacy dangers associated with 5G IoT devices, and data privacy attack surfaces in 5G IoT devices

Lightweight and secure D2D group communication for wireless IoT

In recent years, wirless Internet of Things (IoT) technology has developed rapidly, and the reuse of spectrum resources, network efficiency, and the diversity of multi-communication scenarios have brought great challenges to the existing Internet of Things. And Device to Device (D2D) communication technology in 5th Generation Mobile Communication Technology (5G) has good application prospects in these aspects. Therefore, the combination with D2D can well solve the needs in the wirless Internet of things. However, safe and effective communication has become an urgent problem to be solved. In this paper, this paper proposes a D2D group communication protocol for wireless IoT in 5G. In this protocol, the Chinese remainder theorem is introduced into the protocol design, and a secure and efficient group authentication scheme is constructed based on secret sharing and Chebyshev Polynomials. The formal security proof using Burrows Abadi Needham (BAN) logic and informal security analysis show that our proposed protocol meets the security requirements. Through performance analysis, compared with other related schemes, this scheme not only provides better security, but also has obvious advantages in computation and communication efficiency.

Low-loss MIMO antenna wireless communication system for 5G cardiac pacemakers

Cardiovascular diseases (CVDs) are one of the leading causes of death globally. The Internet of things (IoT) enabled with industrial, scientific, and medical (ISM) bands (2.45 and 5.8 GHz) facilitates pacemakers to remotely share heart health data to medical professionals. For the first time, communication between a compact dual-band two-port multiple-input-multiple-output (MIMO) antenna (integrated inside the leadless pacemaker) and an outside-body dual-band two-port MIMO antenna in the ISM 2.45 and 5.8 GHz frequency bands is demonstrated in this work. The proposed communication system offers an attractive solution for cardiac pacemakers as it can operate on a 5G IoT platform while also being compatible with existing 4G standards. The experimental verification of the proposed MIMO antenna low-loss communication capability is also presented by comparing it to the existing single–input–single–output communication between the leadless pacemaker and outside body monitoring device.

The Impact of Mobility on Physical Layer Security of 5G IoT Networks

Internet of Things (IoT) is rapidly spreading and reaching a multitude of different domains, since the fifth generation (5G) wireless technologies are the key enablers of many IoT applications. It is hence apparent that the broadcast nature of IoT devices makes data security unprecedentedly critical. Compared with traditional cryptography algorithms, which cannot cater for the features of IoT devices characterized by the severe limits in terms of energy, computation and storage capabilities, physical layer security (PLS) has been regarded as a promising solution to facilitate secure communications by exploiting the intrinsic randomness of the wireless medium. However, most of previous works assumed that all devices are static, and the impact of mobility on PLS deserves further investigation. In this paper, applying two types of random mobile models, i.e., the models of Random WayPoint (RWP) and Random Direction (RD), we study the impact of mobility on PLS in a scenario with three types of wireless devices (i.e., a destination, multiple interferers and an eavesdropper). Specifically, we establish an analytical framework for secrecy transmission capacity (STC), a fundamental metric in the study of PLS, under RWP and RD models. To the best of our knowledge, this is the first paper to derive STC and present the condition to achieve a positive STC with the consideration of mobility. We conclude that the RWP mobile destination can achieve a higher STC than that achievable in RD mobile and static scenarios, while RWP mobile eavesdropper is a challenging scenario to obtain a positive STC. Therefore, we propose an effective secrecy improvement strategy for the latter. Simulation validates the theoretical analyses.

Research on OTA Testing Optimization of 5G IoT Devices

Over-the-air (OTA) testing for wireless devices is crucial to guarantee actual network performance. Current OTA testing requires respectively 266 and 62 grid points for Total Radiated Power (TRP) and Total Isotropic Sensitivity (TIS) measurement. For 5G Internet of Things (IoT) devices, especially for low transmit duty-cycle devices, this number of grid points could lead to an unacceptably large amount of test time. Therefore, test time reduction is significant. The objective of this paper is to determine a suitable measurement grid for OTA testing of 5G IoT devices which balances measurement grid uncertainty/errors with test time. Two reference patterns representing a reasonable worst-case scenario of IoT devices are proposed for measurement uncertainty (MU) analysis of different grid configurations. The effects of different grid configurations on OTA testing accuracy are evaluated. The determination of associated MU term is proposed and determined based on statistical analysis. Finally, the reduction of grid points from currently required 62 (30/30 in theta/phi) to 32 (45/36) could save roughly 50% test time while requiring an uncertainty increase of less than 0.2 dB, which is acceptable for OTA testing of 5G IoT devices.

An Evaluation of e-Health Service Performance through the Integration of 5G IoT, Fog, and Cloud Computing.

In recent years, Internet of Things (IoT) advancements have led to the development of vastly improved remote healthcare services. Scalability, high bandwidth, low latency, and low power consumption are all essential features of the applications that make these services possible. An upcoming healthcare system and wireless sensor network that can fulfil these needs is based on fifth-generation network slicing. For better resource management, organizations can implement network slicing, which partitions the physical network into distinct logical slices according to quality of service (QoS) needs. Based on the findings of this research, an IoT-fog-cloud architecture is proposed for use in e-Health services. The framework is made up of three different but interconnected systems: a cloud radio access network, a fog computing system, and a cloud computing system. A queuing network serves as a model for the proposed system. The model's constituent parts are then subjected to analysis. To assess the system's performance, we run a numerical example simulation using Java modelling tools and then analyze the results to identify the key performance parameters. The analytical formulas that were derived ensure the precision of the results. Finally, the results show that the proposed model improves eHealth services' quality of service in an efficient way by selecting the right slice compared to the traditional systems.

Intelligent Dynamic Test System for Vehicle Engine Based on 5G Internet of Things

With the development of the automobile industry, the improvement of the reliability test level and the intelligent fault diagnosis level of the engine, as the heart component of the automobile and the assembly with the highest failure rate, becomes more and more important. In a context where technology is being upgraded, the development of intelligent automotive engine inspection system based on IoT thinking is set to become the major trend in the future. The objective of this article would be to have better knowledge about smart car engine system in the 5G IoT era. It is also through the study, a dynamic testing and characterization of the engine. The performance of the automobile engine, especially the dynamic performance, is further optimized. In this article, we focus on the PUMAOPEN test system of AVL and the system under test, the state management of the test process, and the intelligent transformation of key components. The results show that: studies and analyses the dynamic working conditions of intelligent vehicles on the Internet of Things, and compares the dynamic working conditions with the steady working conditions from qualitative to quantitative. By analyzing the influence of throttle opening change rate and speed change rate on dynamic performance and engine dynamic torque estimation, the fast sensing and response-ability in the engine testing process is improved. When the engine is accelerated by the experimental method presented in this article, and when the throttle opening is more than 30% and the engine speed varies at 100 and 200 rpm/s, the output value of the torque is higher than the output value of the steady-state torque or has little difference with the output value of the steady-state torque, and tends to be stable. In deceleration performance, the dynamic output torque of the engine is asymmetric. And it will deviate from the steady-state output torque, showing different dynamic response characteristics in different working sections. Throttle delay, overshoot characteristics, mechanical inertia, inflation coefficient, air–fuel ratio, and ignition advance angle when engine speed changes sharply will make engine dynamic characteristics deviate from steady-state characteristics.

Ultra‐miniaturized tunable slot‐based antenna design for 5G IoT applications

AbstractThis paper demonstrates a compact‐size folded slot‐based antenna suitable for internet‐of‐things (IoT) applications. The antenna is composed of a folded structure meandered slot loaded with varactor diode. The novel combination of the slot and varactor diode, reactively loading the slot, lead to highly miniaturized antenna. The presented antenna operates in dual frequency bands: from 730 to 965 MHz and 1250 to 1940 MHz. Continuous frequency sweep over the two bands is achieved by the use of a single varactor diode. Due to antenna compact size, it is highly suitable for 5G IoT applications. The total board dimensions of the proposed design are 27 mm × 27 mm.

Improving the state of materials in cybersecurity attack detection in 5G wireless systems using machine learning

The utilization of information from the radio channel is useful in detecting the spoofing attacksin 5G wireless communications. This concept has been used for a wide range of uses for the Internet of Things (IoT) environment by users and their IoT devices. But how these tasks can minimise the effects of cyber threats in genuinely complex networks has not yet been sufficiently addressed. These are seriously exposed, as is the case with 5G broadband networks due to a wide variety of technology at various abstract stages. As 5G IoT is the 5G environment, including the IoT background, in this article, we are an artificial intelligence (AI) intended to minimise the impact of 5G IoT threats, when extended to the participants involved on a number of levels.This paper uses Support Vector Machine (SVM) based PHY-layer authentication algorithm to detect the possible security attacks in 5G wireless communication at physical layer. It is utilized in increasing the rate of authentication with test features. The detection rate is improved further with test statistic features. The model is implemented on multiple-input multiple-output (MIMO) channel. The simulation results shows that the proposed method yield the high detection rate on all attacks.