Internet Of Things Revolution Research Articles

Strengthening Data Privacy Laws in the Age of IoT

The Internet of Things (IoT) represents a revolutionary leap in the interconnectivity of devices, systems, and services, offering unprecedented convenience and efficiency. However, this rapid expansion of IoT devices into every facet of our lives also amplifies critical vulnerabilities in data privacy. The recent surge in cyber-attacks targeting IoT devices underscores the urgent need to strengthen legal mechanisms for consumer protection in this digitally pervasive era. Current data privacy laws are outpaced by the speed at which IoT technology evolves and integrates into our daily routines. From smart homes to health-monitoring devices, the spectrum of IoT's influence is vast and deeply integrated into personal spaces, making the protection of consumer data not just a necessity but a right. In response to these challenges, this letter calls for a robust overhaul of data privacy laws tailored to the unique complexities presented by the IoT. The age of IoT demands a reimagined legal framework that can keep pace with technological advancements while safeguarding the privacy and security of individuals. By strengthening legal mechanisms, we can ensure that the benefits of the IoT revolution are realized without sacrificing the privacy rights of consumers. Let this call to action serve as a foundation for meaningful legal reforms and a secure, privacy-respecting digital future.

Unleashing the IoT Revolution in India: Trends, Advantages, Applications, and Strategic Importance

The Internet of Things (IoT) represents a revolutionary paradigm where everyday objects are interconnected, enabling them to collect, exchange, and act upon data. This interconnectedness extends beyond traditional computing devices, incorporating a diverse range of physical objects embedded with sensors and actuators. The applications of IoT are vast and impactful, permeating various sectors globally. From smart homes and cities to industrial automation, healthcare, and agriculture, the IoT is driving unprecedented efficiency, convenience, and innovation. Worldwide, the growth of IoT is staggering, with billions of devices already connected and projections indicating exponential expansion. According to recent statistics, the global IoT market reached $201 billion in 2022, showcasing a 21.5% increase, and it is anticipated to surge further, underlining the pervasive integration of IoT into the daily lives of individuals and industrial activities. In the Indian context, the strategic importance of the IoT is paramount. With a rapidly expanding economy and a burgeoning population, India stands to gain significantly from IoT applications. The technology's potential to address challenges in agriculture, healthcare, smart cities, and industrial processes aligns with national development goals. The implementation of IoT in India fosters efficiency, sustainability, and economic growth. As the IoT continues to evolve globally, its transformative impact on India's socio-economic landscape solidifies its role as a catalyst for innovation and progress, promising a future where connectivity and intelligence converge for the betterment of individuals and the nation as a whole. With a focus on trends, contributions, advancements, and applications, this article seeks to broaden the knowledge around IoT in India and functions as a kind of reference for scholars interested in the subject.

Comprehensive study: machine learning approaches for COVID-19 diagnosis

<p><span lang="EN-US">Coronavirus disease 2019 (COVID-19) is caused a large number of death since has declared as an international pandemic in December 2019, and it is spreading all over the world (more than 200 countries). This situation puts the health organizations in an aberrant demand for urgent needs to develop significant early detection and monitoring smart solutions. Therefore, that new system or solution might be capable to identify COVID-19 quickly and accurately. Nowadays, the science of artificial intelligence (AI), and internet of things (IoT) techniques have an extensive range of applications, it can be initiated a possible solution for early detection and accurate decisions. We believe, combine both of the IoT revolution and machine learning (ML) methods are expected to reshape healthcare treatment strategies to provide smart (diagnosis, treatments, monitoring, and hospitals). This work aims to overview the recent solutions that have been used for early detection, and to provide the researchers a comprehensive summary that contribute to the pandemic control such AI, IoT, cloud, fog, algorithms, and all the dataset and their sources that recently published. In addition, all models, frameworks, monitoring systems, devices, and ideas (in four sections) have been sufficiently presented with all clarifications and justifications. Also, we propose a new vision for early detection based on IoT sensors data entry using 1 million patients-data to verify three proposed methods.</span></p>

The Role of IoT Technologies in Malaysia During the Covid-19 Pandemic: A Mini-Revie

The Covid-19 global infection has significantly influenced people’s health, resulting in sudden changes in lifestyle through social exclusion and isolation. To break the transmission and terrifying health threat of Covid-19, the Malaysian Government imposed a Movement Control Order (MCO) starting March 18, 2020, by restricting movement and contact. The Covid-19 pandemic emphasized the importance of the digital inclusion agenda, and the application of Internet of Things (IoT) services has given tremendous benefits in various disciplines, as it helps maintain physical distance during the pandemic. Modern lifestyles are being transformed by the IoT revolution by embracing technological, economic, and social prospects. In fact, many sectors in Malaysia would be transformed through the application of IoT, particularly in productivity, and services. Thus, this review paper discusses IoT’s most recent breakthroughs and applications that are used in Malaysia during the Covid-19 crisis. Furthermore, it investigates current IoT implementation and discusses the potential impact of the pandemic on the application of IoT in terms of technology trends and economic impact. IoT is worth mentioning as one of the technologies demonstrating its importance and capabilities in mitigating the severity of the pandemic within the country. This article delves into the applications, social and economic impact, and barriers to the widespread adoption of IoT in the Covid-19 pandemic. This review paper will be useful to academic researchers, business professionals, organizations in various sectors, and anyone interested in determining IoT services’ impact on pandemics.

Beam Selection for Ambient Backscatter Communication in Beamspace mmWave Symbiotic Radio

The Internet of Things revolution has profoundly impacted wireless communication systems. Access to high data rates is now just as important as low power operation. The use of incident millimeter-wave (mmWave) signals for ambient backscatter communication (AmBC) has shown significant promise for delivering high data rates. However, due to channel sparsity, incident signal availability to backscatter devices (BDs) at mmWave is erratic. In order to address the incident signal inaccessibility problem and enable high data-rate AmBC, this letter presents an efficient beam selection method in the beamspace millimeter-wave symbiotic radio system. The proposed method improves the overall system’s sum-rate performance by up to 30% while ensuring signal accessibility to BDs.

Principles for improving the quality of fuel level monitoring based on IoT

Recently, the Internet of Things (IoT) has spread to all areas of life and industry. More and more companies around the world are actively investing in technologies related to the Internet of Things to optimize their own business processes. Analysts even see that the industry will become one of the drivers of the growth of this market in the next six months. One of the industry’s most vulnerable to the IoT revolution is retail. Functional capabilities of sensors and the information provided by them allow solving the largest range of tasks inherent in industry. The combination of IoT technology objects with the help of sensors, sensors and the network are similar to digital intelligence, capable of transmitting various necessary data in real time independently, without constant human control. This is facilitated by the spread of wireless Internet networks and the development of microprocessor technologies. One of the industries where IoT is being implemented is the fuel industry, in particular, gas stations. A gas station in the modern world is a provider of complex services built on fuel. In addition, the need to fill the capacity often becomes a reason to obtain a wider set of services, and in this light, every aspect of the station takes on additional importance, and IoT helps to optimize them all. Fuel level monitoring solutions provide accurate real-time fuel usage readings, alerting fleet managers if readings exceed normal limits to prevent fuel shortages.

ROLE OF IOT IN COVID-19

The global pandemic known as covid-19 has spread. To create a vaccine, expand testing facilities, and improve monitoring systems, scientists and engineers are working day and night. Applications for smartphones and the web have already been created to track people's health using surveys. The spread of covid-19 can be stopped via the Internet of Things (IoT). The Internet and physical devices are connected through the "Internet of Things." Devices can monitor and respond in addition to detect and record information. In this article, we evaluated the covid-19 literature that is currently accessible, discussed monitoring approaches, and proposed an IoT based architecture that can be used to reduce the spread of covid-19. Modern healthcare systems are being transformed by the IoT revolution by embracing technological, economic, and social prospects. Health care systems are changing from traditional to more individualised ones so that patients can be diagnosed, treated, and monitored more simply. IoT technology is one of the pioneers in this field. Since the epidemic began, there has been a rapid push in various research communities to use a wide array of technologies to tackle this global menace.

Edge Computing in SDN-Enabled IoT-Based Healthcare Frameworks

Millions of smart devices and sensors continuously produce and transmit data to control real-world infrastructures using complex networks in the internet of things (IoT). These devices have limited computing, processing, storage, and communication resources to perform time-critical and rigorous computing tasks. Edge computing has emerged as a new model to resolve the above problems by performing computation near IoT devices. The IoT revolution is reshaping the modern healthcare system with promising technological, economic, and social prospects. IoT in healthcare not only helps patients but also doctors to monitor the patient's health condition from a remote place. Software-defined networking (SDN) is an effective and promising solution to overcome issues such as IoT device management, control, interoperability, and maintenance. In this paper, the authors perform an extensive survey to analyze the role of SDN and edge computing in healthcare. Finally, the paper is concluded with the ongoing research on SDN and edge computing to solve various issues in IoT based healthcare domain.

A New Data Fusion Model for Medical Image Encryption in IoT Environment

An improvement of the Internet of Things (IoT) was forecast for changing the healthcare industry and is generating the increase of the Internet of Medical Things (IoMT). The IoT revolution was surpassed the present-day human service with promise social prospects, mechanical, and financial. During this condition, it can be essential for framing an effectual approach for guaranteeing the safety and reliability of t patient’s symptomatic information which are transmitted and received in IoT criteria. This study introduces a new data fusion model in IoT environment. The proposed model is called SSOECC-MIC model focuses on the design of effective encryption scheme with optimal key generation process for IoT environment. To achieve this, the SSOECC-MIC model designs an ECC model for the encryption and decryption of medical images effectively. To further improve the security performance of the ECC model, the optimal key generation process is carried out by the use of swallow swarm optimization (SSO) algorithm. For examining the enhanced performance of the SSOECC-MIC model, a wide ranging experimental analysis is carried out. The experimental outcomes reported the betterment of the SSOECC-MIC model over recent models.

Anomaly Detection for Internet of Things Cyberattacks

The Internet of Things (IoT) has been deployed in diverse critical sectors with the aim of improving quality of service and facilitating human lives. The IoT revolution has redefined digital services in different domains by improving efficiency, productivity, and cost-effectiveness. Many service providers have adapted IoT systems or plan to integrate them as integral parts of their systems’ operation; however, IoT security issues remain a significant challenge. To minimize the risk of cyberattacks on IoT networks, anomaly detection based on machine learning can be an effective security solution to overcome a wide range of IoT cyberattacks. Although various detection techniques have been proposed in the literature, existing detection methods address limited cyberattacks and utilize outdated datasets for evaluations. In this paper, we propose an intelligent, effective, and lightweight detection approach to detect several IoT attacks. Our proposed model includes a collaborative feature selection method that selects the best distinctive features and eliminates unnecessary features to build an effective and efficient detection model. In the detection phase, we also proposed an ensemble of learning techniques to improve classification for predicting several different types of IoT attacks. The experimental results show that our proposed method can effectively and efficiently predict several IoT attacks with a higher accuracy rate of 99.984%, a precision rate of 99.982%, a recall rate of 99.984%, and an F1-score of 99.983%.

Emerging Indoor Photovoltaic Technologies for Sustainable Internet of Things

AbstractThe Internet of Things (IoT) provides everyday objects and environments with “intelligence” and data connectivity to improve quality of life and the efficiency of a wide range of human activities. However, the ongoing exponential growth of the IoT device ecosystem—up to tens of billions of units to date—poses a challenge regarding how to power such devices. This Progress Report discusses how energy harvesting can address this challenge. It then discusses how indoor photovoltaics (IPV) constitutes an attractive energy harvesting solution, given its deployability, reliability, and power density. For IPV to provide an eco‐friendly route to powering IoT devices, it is crucial that its underlying materials and fabrication processes are low‐toxicity and not harmful to the environment over the product life cycle. A range of IPV technologies—both incumbent and emerging—developed to date is discussed, with an emphasis on their environmental sustainability. Finally, IPV based on emerging lead‐free perovskite‐inspired absorbers are examined, highlighting their status and prospects for low‐cost, durable, and efficient energy harvesting that is not harmful to the end user and environment. By examining emerging avenues for eco‐friendly IPV, timely insight is provided into promising directions toward IPV that can sustainably power the IoT revolution.

Artificial intelligence-enabled Internet of Things-based system for COVID-19 screening using aerial thermal imaging

Internet of Things (IoT) has recently brought an influential research and analysis platform in a broad diversity of academic and industrial disciplines, particularly in healthcare. The IoT revolution is reshaping current healthcare practices by consolidating technological, economic, and social views. Since December 2019, the spreading of COVID-19 across the world has impacted the world’s economy. IoT technology integrated with Artificial Intelligence (AI) can help to address COVID-19. UAVs equipped with IoT devices can collect raw data that demands computing and analysis to make intelligent decision without human intervention. To mitigate the effect of COVID-19, in this paper, we propose an IoT-UAV-based scheme to collect raw data using onboard thermal sensors. The thermal image captured from the thermal camera is used to determine the potential people in the image (of the massive crowd in a city), which may have COVID-19, based on the temperature recorded. An efficient hybrid approach for a face recognition system is proposed to detect the people in the image having high body temperature from infrared images captured in a real-time scenario. Also, a face mask detection scheme is introduced, which detects whether a person has a mask on the face or not. The schemes’ performance evaluation is done using various machine learning and deep learning classifiers. We use the edge computing infrastructure (onboard sensors and actuators) for data processing to reduce the response time for real-time analytics and prediction. The proposed scheme has an average accuracy of 99.5% using various performance evaluation metrics indicating its practical applicability in real-time scenarios.

State-of-the-Art Software-Based Remote Attestation: Opportunities and Open Issues for Internet of Things

The Internet of Things (IoT) ecosystem comprises billions of heterogeneous Internet-connected devices which are revolutionizing many domains, such as healthcare, transportation, smart cities, to mention only a few. Along with the unprecedented new opportunities, the IoT revolution is creating an enormous attack surface for potential sophisticated cyber attacks. In this context, Remote Attestation (RA) has gained wide interest as an important security technique to remotely detect adversarial presence and assure the legitimate state of an IoT device. While many RA approaches proposed in the literature make different assumptions regarding the architecture of IoT devices and adversary capabilities, most typical RA schemes rely on minimal Root of Trust by leveraging hardware that guarantees code and memory isolation. However, the presence of a specialized hardware is not always a realistic assumption, for instance, in the context of legacy IoT devices and resource-constrained IoT devices. In this paper, we survey and analyze existing software-based RA schemes (i.e., RA schemes not relying on specialized hardware components) through the lens of IoT. In particular, we provide a comprehensive overview of their design characteristics and security capabilities, analyzing their advantages and disadvantages. Finally, we discuss the opportunities that these RA schemes bring in attesting legacy and resource-constrained IoT devices, along with open research issues.

Internet of Things as a Logical Way to Tackle the Emerging COVID-19 Virus

The outburst of thenovel coronavirus (COVID-19) that hasledto millionsof deathsglobally appears tobe overwhelming. This virushas become a focus of worldwide consideration. The Internet of Things (IoT) can be well-thought-out as a practical way to forecast, monitor, and avert the emerging COVID-19 virus. Internet of Things represents a connected-network of smart objects, sensors, devices, and people over which information can be acquired and communicated via the cloud for trend and patterns analysis. This technology has gained immense research plethora in health care and industrial applications. The IoT revolution is reforming contemporary healthcare schemes through integrating high-tech, commercial, and societal views. This paper briefly examines the potential of IoT technology as a logical way to tackle COVID-19 by evolving healthcare systems from conventional to more personalized healthcare systems through whichillness can be detected, treated, and supervisedeffortlessly

Akıllı Ulaşımda İletişimin Geliştirilmesi için Blockchain Teknolojisinin Benimsenmesi

Today, IoT (Internet of Things) revolution and V2X (Vehicle-to-Everything) paradigm are collaboratively making a deep impact on a wide range of industrial areas, especially on transportation and automotive industry. Efficient and value added business models are highly appreciated to revolutionize transportation services and environments over the world; and to establish autonomous transport systems without the need of minimum possible human intervention. On the other hand; currently transportation ecosystem stakeholders are facing some problems including data integrity, non-repudiation, and trust. Data manipulation, missing information, and inconsistencies are examples of serious problems in the context of automated mobility and heterogeneity. This study aims to explore the potential of Blockchain technology in smart transportation. In this context, a communication model is presented for smart transportation ecosystems that provides solutions to problems, and also ensures data integrity, non-repudiation and trust by utilizing Blockchain technology. The proposed smart contract based model allows trustless users to negotiate on immutable and transparent data without the need for a trusted third party which can provide further innovative services. The proposed model is evaluated in aspects of appropriateness of technology, technical features, and adoption and diffusion of technology. Taking all this into account, it is possible to point out that the proposed model, not only have the potential of supporting development of V2X and smart transportation ecosystems, but also is feasible to other various smart environments having high heterogeneity and mobility.

A Survey on IoT based Wearable Sensor for Covid-19 Pandemic

The COVID-19 pandemics have highlighted the importance of leveraging and harnessing our digital infrastructure enabling remote health monitoring. We foresee the need for more powerful diseases diagnosis and monitoring of personal and group health, which might be supported by wearable sensors, since conventional virus testing and vaccinations are delayed. Also, Internet of Things (IoT) has gained traction in a variety of research sectors, including academic and industrial settings, particularly in healthcare. By merging economic, social, and technological perspectives, IoT revolution reshapes today's healthcare systems. It evolves from traditional medical services to far more individualised programs that allow patient monitoring, diagnosis & treatment more convenient. IoT with wearable has recognized as a dominant component of healthcare transformation. When commonly diagnosed, wearable devices are linked to the internet, it may acquire vital information that might save lives. Also, models designed regulates and continuously monitors the condition of the patient by employing an network infrastructure during pandemics, reducing stress of health care providers, minimising medical errors, decrease the amount of work and medical staff productivity, lowering on-going medical cost and improving patient experience. Developing a convenient and accurate wearable device for earlier detection, assessment during social distance, as well as recovery is important during the COVID-19 outbreak. As a result, numerous researchers devised wearable models; this study looks at the effect of wearable body sensors based on IoT technology in fighting COVID-19. In addition, the advantages of wearable devices are contrasted to those of traditional approaches.

Internet of Things for Current COVID-19 and Future Pandemics: an Exploratory Study.

In recent years, the Internet of Things (IoT) has gained convincing research ground as a new research topic in a wide variety of academic and industrial disciplines, especially in healthcare. The IoT revolution is reshaping modern healthcare systems by incorporating technological, economic, and social prospects. It is evolving healthcare systems from conventional to more personalized healthcare systems through which patients can be diagnosed, treated, and monitored more easily. The current global challenge of the pandemic caused by the novel severe respiratory syndrome coronavirus 2 presents the greatest global public health crisis since the pandemic influenza outbreak of 1918. At the time this paper was written, the number of diagnosed COVID-19 cases around the world had reached more than 31 million. Since the pandemic started, there has been a rapid effort in different research communities to exploit a wide variety of technologies to combat this worldwide threat, and IoT technology is one of the pioneers in this area. In the context of COVID-19, IoT-enabled/linked devices/applications are utilized to lower the possible spread of COVID-19 to others by early diagnosis, monitoring patients, and practicing defined protocols after patient recovery. This paper surveys the role of IoT-based technologies in COVID-19 and reviews the state-of-the-art architectures, platforms, applications, and industrial IoT-based solutions combating COVID-19 in three main phases, including early diagnosis, quarantine time, and after recovery.

Traditional versus fuzzy optimal coupling in multi‐axis distributed motion control: a pre‐ IoT‐ integration procedure

AbstractFor the Internet of Things (IoT)‐enabled motion control, the controller's efficient behavior should be justified before the IoT‐integration procedure. With the IoT revolution, the remote control of multimotors in the industry can take place. For this aim, a set of four permanent magnetic DC (PMDC) motors is considered in the current study as one of the industrial applications in which the speed synchronization of the motors is required. Optimal individual systems controller tuning is performed using the Particle swarm optimization technique which is also used for the coupling gains and scaling factors tuning of the traditional and fuzzy cross‐coupling strategies, respectively, as proposed methods. A comparison between the two proposed coupling strategies and the two existing traditional and fuzzy coupling strategies is carried out as a pre‐IoT‐integration procedure while considering a load implementation on each motor. The comparison procedure takes place in terms of the individual motors performance indices values and the synchronization error performance indices between every two systems. The obtained results show that the proposed fuzzy cross‐coupling strategy gives smaller indices and therefore better synchronization error than the proposed traditional and the other two existing strategies making it more suitable for the IoT‐Integration process. A proposed scheme for the IoT‐integration is presented.

Transforming Health Care through Digital Revolutions.

The Internet, which has spanned several networks in a broad range of domains, is having a significant impact on every aspect of our lives. The next generation of networks will utilize a wide variety of resources with significant sensing capabilities. Such networks will extend beyond physically linked computers to include multimodal-information from biological, cognitive, semantic, and social networks. This paradigm shift will involve symbiotic networks of smart medical devices, and smart phones or mobile personal computing and communication devices. These devices—and the network—will be constantly sensing, monitoring, and interpreting the environment; this is sometimes referred to as the Internet of Things (IoT). We are also witnessing considerable interest in the “Omics” paradigm, which can be viewed as the study of a domain in a massive scale, at different levels of abstraction, in an integrative manner. The IoT revolution, combined with the Omics revolution (genomics and socio-omics or social networks) and artificial intelligence resurgence, will have significant implications for the way health care is delivered in the United States. After discussing a vision for health care in the future, we introduce the P9 health care concept, followed by a discussion of a framework for smart health care. Then, we present a case study and research directions, followed by examples of ongoing work at the National Institute of Standards and Technology (NIST).

Passive RFID-Based Diaper Moisture Sensor

Low-energy battery-less passive RFID (Radio Frequency Identification) tags will be an integral part of the upcoming IoT (Internet of Things) revolution. Applications for such tag-systems include medical applications, inventory management, security, localization, household application, etc. Currently, there is a growing demand for passive RFID-based diaper moisture sensors in the market. The target populations for such technology include infants, disabled individuals, and senior citizens. The goal of the moisture sensor is to eliminate the risks related to infection and other issues caused by the failure to remove a wet diaper in a timely manner. Desired characteristics of such a sensor include low cost, easy integration, good dynamic range in sensing metric, a long read range, as well as being comfortable to the wearer. We propose a passive UHF (Ultra High Frequency, 902-928 MHz) RFID-based diaper moisture sensor that is low-cost, user-friendly, reusable, washable, environment-friendly and comes with an extended on-body read range of 3.6 meters with baby diapers and 4.4 meters with adult diapers. The external reader unit is connected to the internet or a local network, and will automatically notify the parents or caregivers as soon as the presence of moisture is detected.