Internet Of Things Implementation Research Articles

How the Internet of Things is reshaping teamwork: An experimental study

As a result of the increasing number of Internet of Things (IoT) systems in industrial organizations, the way in which teams are composed is changing. Specifically, forms of collaboration in various working environments are subject to transformation, leading to unstable membership within teams (i.e., fluid teams). Drawing on the theory of affordances, we aim to investigate the relationship between IoT implementation and the prevalence of fluid teams. The results of an experimental vignette study featuring 1001 respondents indicate that (1) the degree of IoT implementation has a highly significant impact on the utility of creating fluid teams and (2) the type of task in question does not moderate this relationship. Our study has relevant theoretical implications fostering an integrated understanding of the interplay of IoT systems and the resulting changes at the team level. In this context, we contribute specifically to improving the understanding of affordance existence and affordance perception, as we consider IoT-specific attributes with respect to their impact at the ‘meso’ level.

Developing an IoT Framework for Industry 4.0 in Malaysian SMEs: An Analysis of Current Status, Practices, and Challenges

This qualitative study aimed to explore the current status, practices, and challenges of Internet of Things (IoT) implementation and to develop an IoT framework for Industry 4.0 in Malaysia. Industry 4.0 enhances a company’s manufacturing competitiveness and efficiency. However, the implementation of Industry 4.0 in Malaysian small- and medium-sized enterprises (SMEs) is still in its early stages. Five participants from three different SMEs were selected for online interviews and a focus group. Due to the COVID-19 pandemic, the interviews were conducted online and lasted about 30 to 45 min. The data collected from the interviews were analyzed through thematic analysis and used to validate the literature review and to identify gaps in existing frameworks. The IoT framework was developed through a focus group of experts. This study found that the implementation of Industry 4.0 is relatively low in Malaysian manufacturing SMEs. SMEs are facing various challenges, including the need for education and training, budget constraints, and a lack of experience and knowledge among workers. This study found that the positive impact of IoT implementation included improved internal communication, reduced errors, and enhanced product quality and safety. In addition, this study resulted in the development of an IoT framework for SMEs in Malaysia.

Let Us Create An IoT Inside the AWS Cloud

Purpose: The Internet of Things (IoT) has become essential to modern technological advancements, with various industries leveraging its capabilities. One of the significant challenges of IoT implementation is the storage, processing, and analysis of the vast amounts of data generated. AWS is a popular platform for IoT operation. This paper proposes using Amazon Web Services (AWS) as a cloud computing platform for IoT applications. By leveraging AWS's robust infrastructure, scalability, and cost-effectiveness, IoT developers can focus on creating innovative applications that transform businesses and improve customer experiences. The interface of the various AWS service has changed. Using the New AWS IoT console, we demonstrate how to create IoT device shadows. Design/Methodology/Approach: IoT Thing is the backbone of any IoT interaction. First, we create Our AWS account. Because without an account, it cannot operate IoT devices. After a successful account setup, we create our things. After that, we create a device shadow, which is used to update or fetch the device data among the devices interconnected through the Internet. There are several ways to interact with device shadows. Here we talk about the few most straightforward and efficient ways, the hardware devices like ESP8266/ESP32 wifi modules, using MQTT and IoT device clients. Another efficient way is communicating through the Lambda function, which can create an Alexa-operated IoT device. Findings/Result: There are several ways to create an internet of things. Probably the best and most reliable platform is AWS. Its security and interface are user-friendly. Here, through a simple illustration, we discussed how to create Things inside the AWS cloud, the backbone of transferring or fetching data from one end to another over the Internet. Originality/Value: The several documents available over the web for understanding and creating the AWS IoT. Here, through simple illustration, we demonstrate how we can easily use AWS's new interface. Our researchers working or going to experiment with AWS's new IoT console can get valuable reference information for their research. Paper Type: Experimental-based Research.

Application of Federated Learning to Detect Malicious Behavior in Internet of Vehicles

With the escalating application of the Internet of Things (IoT) in several fields, implementation of IoT in the automotive ecosystem is currently one of the critical concerns due to the enormous potential for its expansion in unimaginable ways. Internet of Vehicles (IoV) applies to the present-day human-driven vehicles as well as impending autonomous ones. Smart transportation is significantly safer, cost-effective, more convenient, and more efficient. Despite offering plenty of benefits, IoV face serious issues including big data problems, user security and privacy, and vehicle reliability. Reliable connection channels are established but this doesn't eliminate the cyber risks associated with them. With the increasing frequency of these security incidents in IoV, guarding against these attacks has been the foremost priority. Regardless of the standard protocols and established frameworks, these attacks are still likely to endanger the vehicle and user privacy and security. To address the security and privacy issues, the primary focus of this paper is the application of federated learning to detect attacks on the security and privacy aspects of the IoV. Without using centralized data, the federated learning technique develops the prediction model utilizing user data from the devices. Thus, the model is collaborative and shared, and as model training comes down to devices, the user's data is secure as training data resides on the device and no specific versions are maintained in the cloud. Hence, the main objective is to employ a federated learning approach to ascertain any kind of malevolent conduct in the connected vehicle systems and propagate trusted, authentic and reliable information for better deployment.

Introduction for factors of success and failure by using IoT in project management

The Internet is a relatively recent endeavor that has continued without conclusion for a considerable length of time, growing in importance to individuals, organizations, and governments everywhere until we finally settled on the term Internet of Things (IoT) to describe its ubiquitous application of multiple technologies across all spheres of human endeavor. In addition, the variety of IoT applications and use cases expands annually. There will be a need for this trend to grow substantially in order to satisfy the enormous amount of demand. Whether or not an IoT application is successful, simple to deploy, and user-friendly depends on a number of things. Based on research on the causes of success and failure in the implementation of IoT, it has become clear that most studies focus on either success factors alone or failure factors alone; this paper aims to bridge that gap by discussing the factors that contribute to the Internet of Things' success and the factors that lead to its failure, both of which aid in the technology's growth and dissemination and provide guidance to experts in the field.

Implementation of PoF-powered IoT Sensing Systems for Industry 4.0

We propose and experimentally investigate two distinct power-over-Fiber (PoF) approaches, aiming to remotely power Internet-of-Things (IoT) sensing systems for Industry 4.0 environments. The first proof-of-concept is focused on demonstrating a 1-W optical power transmission through a 50-m-fiber-optic link for powering an Arduino Uno, a temperature sensor (DS1820B), and a 433-MHz transceiver (FS1000A). The designed PoF link is able to provide up to 280 mW with power transmission efficiency (PTE) of 28.9%. The second implementation is based on a 100-m PoF link capable of transmitting over 0.6-W optical power and delivering 140-mW electrical power with PTE of 23%. In this scheme, an Arduino Pro Mini, another temperature sensor (LM35), and a 2.4-GHz transceiver (nRF24L01+) are employed. A voltage stability analysis enables to demonstrate that our PoF system is capable of delivering stable output voltage at 8.5 V and 5 V, with only 0.6% and 0.2% voltage fluctuations. In addition, an industrial oven is employed to evaluate the sensor performance considering temperature measurements from both sensing systems. The obtained results demonstrate that PoF might be considered as a potential technology to optically-power IoT wireless sensing systems for Industry 4.0 scenarios.

Is IoT monitoring key to improve building energy efficiency? Case study of a smart campus in Spain

This work validates and demonstrates the potential of a methodology based on a continuous monitoring system with real time measurements, as a key support to make decisions on buildings energy systems based on quantitative data. For this work, a continuous loop-based monitoring methodology was designed and implemented to enhance the performance of Heating Ventilation and Air Conditioning (HVAC) systems by improving the energy efficiency of university buildings and the quality of life of the people who use them. The results from the case study, used to demonstrate the proposed methodology, can be extrapolated to the entire university in order to transform it into a smart campus. The case study also shows that the continuous measurement of temperatures allows to avoid excessive heating, reducing unnecessary energy consumption. Additionally, the case study shows the importance of monitoring CO2 concentration in rooms where occupancy is fluctuating, since it enables a control of the HVAC system based on the instantaneous CO2 level (and predictive in the immediate aftermath). This proposed measurement can save between 40% and 70% of HVAC energy consumption. The positive results obtained in this research show that implementing Internet of Things (IoT) smart ecosystems contribute to promote data-driven decisions in public tertiary buildings among decision-makers, politicians, and other stakeholders.

Design Of Gas Leak Detection Using Gas Sensor And Microcontroller Based On Android

Today the use of gas cylinders is increasingly widespread in society. Starting from simple stalls, street vendors and many households use these gas cylinders. The impact that occurs is an increase in orders to producers to produce gas cylinders. With the increase in orders, it causes less attention to the safety side of gas cylinders. One side of security that is not given enough attention is gas leaks. This study aims to implement Internet of Things (IOT) concept by designing a tool that can be used to detect leaks using the MQ-2 gas sensor and android. This tool serves to provide leak notifications in the form of an alarm. The alarm will turn on automatically when the sensor detects gas that emits an odor so that it can be anticipated immediately. The test results show that this detector can work properly and optimally in giving gas cylinder leak warnings.

Information System Security Analysis in the Internet of Things (IoT) Era

The presence of the Internet of Things (IoT) has provided a new foundation in the development of information systems, but has also raised new challenges related to information security. This research aims to analyze the level of information system security in the context of the IoT era. The research methods used include an in-depth literature survey and critical analysis of security frameworks relevant to IoT. The research results show that while IoT offers great potential to increase efficiency and convenience, it also opens up new avenues for complex and serious security attacks. Security threats related to IoT include network attacks, data theft, and unauthorized access. To overcome this challenge, a holistic and layered approach is needed in securing information systems connected via IoT. The importance of implementing strong security protocols, data encryption, and continuous monitoring of IoT networks cannot be overstated. In conclusion, the success of widespread IoT implementation will be largely determined by efforts to strengthen the security of the information systems involved.

Comparing Efficiency and Performance of IoT BLE and RFID-Based Systems for Achieving Contract Tracing to Monitor Infection Spread among Hospital and Office Staff.

COVID-19 is highly contagious and spreads rapidly; it can be transmitted through coughing or contact with virus-contaminated hands, surfaces, or objects. The virus spreads faster indoors and in crowded places; therefore, there is a huge demand for contact tracing applications in indoor environments, such as hospitals and offices, in order to measure personnel proximity while placing as little load on them as possible. Contact tracing is a vital step in controlling and restricting pandemic spread; however, traditional contact tracing is time-consuming, exhausting, and ineffective. As a result, more research and application of smart digital contact tracing is necessary. As the Internet of Things (IoT) and wearable sensor device studies have grown in popularity, this work has been based on the practicality and successful implementation of Bluetooth low energy (BLE) and radio frequency identification (RFID) IoT based wireless systems for achieving contact tracing. Our study presents autonomous, low-cost, long-battery-life wireless sensing systems for contact tracing applications in hospital/office environments; these systems are developed with off-the-shelf components and do not rely on end user participation in order to prevent any inconvenience. Performance evaluation of the two implemented systems is carried out under various real practical settings and scenarios; these two implemented centralised IoT contact tracing devices were tested and compared demonstrating their efficiency results.

Workers’ Opinions on Using the Internet of Things to Enhance the Performance of the Olive Oil Industry: A Machine Learning Approach

Today’s global food supply chains are highly dispersed and complex. The adoption and effective utilization of information technology are likely to increase the efficiency of companies. Because of the broad variety of sensors that are currently accessible, the possibilities for Internet of Things (IoT) applications in the olive oil industry are almost limitless. Although previous studies have investigated the impact of the IoT on the performance of industries, this issue has yet to be explored in the olive oil industry. In this study we aimed to develop a new model to investigate the factors influencing supply chain improvement in olive oil companies. The model was used to evaluate the relationship between supply chain improvement and olive oil companies’ performance. Demand planning, manufacturing, transportation, customer service, warehousing, and inventory management were the main factors incorporated into the proposed model. Self-organizing map (SOM) clustering and decision trees were employed in the development of the method. The data were collected from respondents with knowledge related to integrating new technologies into the industry. The results demonstrated that IoT implementation in olive oil companies significantly improved their performance. Moreover, it was found that there was a positive relationship between supply chain improvements via IoT implementation in olive oil companies and their performance.

Smart systems in producing algae-based protein to improve functional food ingredients industries

Production and extraction systems of algal protein and handling process of functional food ingredients need to control several parameters such as temperature, pH, intensity, and turbidity. Many researchers have investigated the Internet of Things (IoT) approach for enhancing the yield of microalgae biomass and machine learning for identifying and classifying microalgae. However, there have been few specific studies on using IoT and artificial intelligence (AI) for production and extraction of algal protein as well as functional food ingredients processing. In order to improve the production of algal protein and functional food ingredients, the implementation of smart system is a must to have real-time monitoring, remote control system, quick response to sudden events, prediction and characterisation. Techniques of IoT and AI are expected to help functional food industries to have a big breakthrough in the future. Manufacturing and implementation of beneficial smart systems are important to provide convenience and to increase the efficiency of work by using the interconnectivity of IoT devices to have good capturing, processing, archiving, analyzing, and automation. This review investigates the possibilities of implementation of IoT and AI in production and extraction of algal protein and processing of functional food ingredients.

Internet of Things (IoT)-Based Environmental Monitoring and Control System for Home-Based Mushroom Cultivation

The control and monitoring of the environmental conditions in mushroom cultivation has been a challenge in the mushroom industry. Currently, research has been conducted to implement successful remote environmental monitoring, or, in some cases, remote environmental control, yet there is not yet a combination of both these systems providing live stream images or video. As a result, this research aimed to design and develop an Internet of things (IoT)-based environmental control and monitoring system for mushroom cultivation, whereby the growth conditions of the mushrooms, such as temperature, humidity, light intensity, and soil moisture level, are remotely monitored and controlled through a mobile and web application. Users would be able to visualize the growth of the mushroom remotely by video and images through the Internet. The respective sensors are implemented into the mushroom cultivation process and connected to the NodeMCU microcontroller, which collects and transfers the data to the cloud server, enabling remote access at any time through the end device with internet connection. The control algorithm regulates the equipment within the cultivational chamber autonomously, based on feedback from the sensors, in order to retain the optimum environment for the cultivation of mushrooms. The sensors were tested and compared with manual readings to ensure their accuracy. The implementation of IoT toward mushroom cultivation would greatly contribute to the advancement of the current mushroom industry which still applies the traditional cultivation approach.

‘The plural of silo is not ecosystem’: Qualitative study on the role of innovation ecosystems in supporting ‘Internet of Things’ applications in health and care

Background Internet of Things (IoT) innovations such as wearables and sensors promise improved health outcomes and service efficiencies. Yet, most applications remain experimental with little routine use in health and care settings. We sought to examine the multiple interacting influences on IoT implementation, spread and scale-up, including the role of regional innovation ‘ecosystems’ and the impact of the COVID-19 context. Methods Qualitative study involving 20 participants with clinical, entrepreneurial and broader innovation experience in 18 in-depth interviews, focusing primarily on heart monitoring and assistive technology applications. Data analysis was informed by the NASSS (non-adoption, abandonment, scale-up, spread, sustainability) framework. Results Interviewees discussed multiple tensions and trade-offs, including lack of organisational capacity for routine IoT use, limited ability to receive and interpret data, complex procurement and governance processes, and risk of health disparities and inequalities without system support and funding. Although the pandemic highlighted opportunities for IoT use, it was unclear whether these would be sustained, with framings of innovation as ‘disruption’ coming at odds with immediate needs in healthcare settings. Even in an ‘ecosystem’ with strong presence of academic and research institutions, support was viewed as limited, with impressions of siloed working, conflicting agendas, fragmentation and lack of collaboration opportunities. Conclusions IoT development, implementation and roll-out require support from multiple ecosystem actors to be able to articulate a value proposition beyond experimental or small-scale applications. In contexts where clinical, academic and commercial worlds collide, sustained effort is needed to align needs, priorities and motives, and to strengthen potential for good value IoT innovation.

Utilization of Internet Things (IOT) for Implementing Teaching and Learning in Technical Colleges in Enugu State

The purpose of this study was to determine the utilization of internet of things (IoT) for implementing teaching and learning in Technical colleges in Enugu State. Two research questions and hypothesis guided the study. A descriptive survey research design was adopted to carry out the study. The population for the study was one hundred and sixty (160) respondents, comprising 137 students and 23 teachers of both Technical Colleges. Two questionnaires titled level of IoT utilization by teacher for teaching and the level of IoT utilization by students for learning were developed by the researchers and used for data collection. Three experts validated the instruments, two experts from the Department of Industrial Technical Education, University of Nigeria, Nsukka and one expert from the Department of Vocational Education, School of Technical Education, Yaba College of Technology. The reliability co-efficiency of the instrument was found to be 0.86 and 0.73. Data collected were analyzed using mean and standard deviation to answer the research questions, while t-test statistics was used to test the hypotheses at 0.05 level of significance. The study found significant response between male and female on utilization of internet of things (IoT) for implementing teaching and learning in Technical College’s in Enugu State. It was discovered that poor utilization and un updated IoT in technical colleges hinders IoT implementation for teaching and learning in technical colleges in Enugu state, hence, the utilization of IoT for implementing learning and teaching are impeded.

Internet of Things (IoT) Applications in Education: Benefits and Implementation Challenges in Ghanaian Tertiary Institutions

Aim/Purpose: The Internet of Things (IoT) application modules have covered diverse sectors, and the educational domain is no exception. In this survey, we discuss the specific application benefits of IoT in education and further examine implementation challenges in Ghanaian tertiary institutions. Background: This survey examines pertinent applications for IoT benefits in education and offers present and future opportunities to enhance educational outcomes. The survey includes anticipated IoT technologies that will have a significant impact on education. Each module contains concise definitions accompanied by analysis and application-specific relevance. Methodology: In order to accomplish the objectives of the survey, a search review was conducted across relevant databases, including Scopus, Hindawi, IEEE, MPDI, ScienceDirect, Informing Science Institute, Springer, and Wiley. In addition, a thorough search was carried out using Google Scholar to cover all relevant repositories. The phrases and keywords for the search were made up of five categories. The literature search resulted in 300 articles, of which 200 were considered relevant for the survey. Of the 200 articles, 95 of them shared common themes and discussed the same application integration and challenges. Contribution: This paper discusses the revolution involving IoT deployments in education and covers many aspects of the educational domain. Findings: IoT integration in education will transform Education 4.0 and improve learning outcomes significantly. Recommendations for Practitioners: Educational institutions are to embrace IoT integrations even with the emerging Education 4.0 and Industry 4.0 use cases. Recommendation for Researchers: Educational IoT is the next big thing and research directions on unique use cases for educational institutions are eminent with 5G and other disruptive technologies. Impact on Society: Effective IoT implementation in education will positively affect all stakeholders in the educational ecosystem and create a society with much access to information, connectivity, and convenience. Future Research: To survey the integration of blockchain-based IoT applications in education.

Advanced Intuitive Model for Digital Forensics Collection Methods in the Context of Cloud Computing and IoT

Abstract: With the wide scale adoption of cloud computing paradigms and Internet of Things implementations, the arena of service delivery has changed significantly for the world of technology-oriented services. While these new modes of service delivery have provided innovations that were not fathomable earlier, they not only create new non-traditional pathways for evidence generation, nevertheless, they have also been seen to carry a potential of creating and exposing a whole new set of security vulnerabilities that malicious actors can exploit. Traditional forensic investigation process falls short in many ways including the way it aims to identify and link crucial pieces of evidence in these scenarios due to a myriad of internal and external factors. Challenges and inadequacies have been identified in the community in relation to these specific sets of advancing technologies that hinder the efficient identification, extraction and processing of evidence generated in crimes involving them. In this paper we wish to surmise the current forensic collection methods, how they pose challenges when put together with the latest cloud and IoT technologies and then attempt to propose an advanced, more intuitive, and theoretically validated digital forensic collection process guided by zero trust principle and enforced with artificial intelligence and machine learning methodologies with the aim to fill the gaps and provide a more reliable, robust and intuitive model to perform digital evidence collection in the given context.

Innovative-LAB

Abstract: The concept of Internet of Things (IoT) requires the seamless connectivity of millions of heterogeneous devices. In today’s World, implementation of IoT based smart Lab has drawn a huge attraction and become a prominent area of research. This research work presents an approach for smart Lab automation using IoT that can be controlled wirelessly. Lab automation system means monitoring and controlling of Lab appliances remotely using the concept of internet of things (IOT). In this method we use mobiles or computers to control the basic Lab appliance and make it function through the designed web page with internet connection/local area network (LAN) servers. This type of Lab is also known as smart Lab. The concept of applying automation in the sectors of housing is selling like hot cake. Western countries have welcomed the concept of automation into their Labs with open arms. Our country is keeping up with the pace of modernization too. Different approaches to automating Labs have been implemented. The best among this is Lab automation system using IOT. IOT provides the feasibility of operating the Lab automation system from anywhere around the world using internet. It reduces use of excessive or unnecessary human efforts and improves the standard of living of the people in our society.

Accessibility of the node-red iot framework: an integrative review

Industry 4.0 technologies are rising in the international market, especially the Internet of Things, better known as IoT (Internet of Things). The demand for software development for IoT technologies is also growing. Considering that human beings have several disabilities and specific needs, including among the professionals who can develop and deploy the technology, this work aimed tounderstand if there is accessibility in the IoT framework Node-Red®. To do so, an integrative literature review evaluated the use of the Node-Red framework®. We observed how the researchers applied the technologies and if there is accessibility and adequacy to the W3C (World Wide Web Consortium) rules since the W3C regulates ideal software development standards, including those of accessibility. With the analysis, it was possible to evidence that there are simple movements in favor of User Experience (UX) and accessibility in a generic way in several scenarios, from home use, business, industry, and health. The search results were demonstrated through data categorization, synthesis matrix, and descriptive analysis. The knowledge discussion and synthesis pointed out the contribution points of each paper and the literature gaps on accessibility for an IoT framework. Our findings showed that each paper contributed to this discussion and argued that even though there are no significant limitations pointed out by the authors reviewed for IoT implementation and accessibility, and they also discussed little or nothing about accessibility and W3C standards in their papers.

BHC-IoT: A Survey on Healthcare IoT Security Issues and Blockchain-Based Solution

The Internet of Things (IoT) has become one of the most widely utilized technologies in the recent decade, particularly in healthcare systems. With the usage of wearable and mobile devices, IoT-based healthcare systems have significantly increased the value of the healthcare sector, resulting in the effective use of health data exchange for enhanced, accurate, and quick diagnosis. These devices communicate, process, compute and monitor real-time scenarios via wireless or wired connections. Such devices are heterogeneous, having limited memory and computational power. The adoption of the IoT system in healthcare raises security and privacy concerns. Healthcare records containing sensitive patient data complicate this system since there is a danger of a privacy breach, privacy leakage, tampering, and so on. Blockchain technology has recently emerged as a promising solution to such breaches and problems. In this study, we consider various challenges to healthcare IoT implementation for widespread practical use, considering the security concerning the IoT layered architecture. We have categorized various layered security issues faced by IoT and specific attacks and security issues faced in communication, computation, and authentication IoT-based healthcare systems. Then we demonstrate how blockchain technology can be a key enabler in resolving numerous healthcare IoT security issues. We concluded that blockchain provides a secure and efficient way to resolve healthcare issues.