Internet Of Things Projects Research Articles

The Use of Design Thinking in the Development of IoT Projects

One of the difficulties in the teaching and learning of the Internet of Things (IoT) is the lack of exposure to IoT concepts and inadequate teaching methods and tools. The use of Design Thinking (DT) when developing IoT projects can promote solution-based thinking and enhance creativity in problem-solving. The process of DT involves five phases: Empathize, Define, Ideate, Prototype, and Test. The objective of this study was to evaluate the DT tools and process for developing IoT projects. This study involved 22 Information Technology undergraduate students. The Define Problem Statement template, POV template, User Feedback, and Affinity Diagram were among the DT tools introduced to the students. Using a survey form, each student assessed the efficacy of the DT tool and process. Student feedback revealed that the DT process and tools significantly enhanced their understanding of IoT projects. An expert assessment using a DT rubric was also carried out by a lecturer having a master’s degree in information and technology to assess students’ performance using five criteria. Students need to do two rounds of Affinity Diagram activity. The DT rubric results show students’ average scores increased from 2.52 to 3.48, indicating an improvement in students’ IoT project development using DT.

Internet of things and radio frequency identification based embedded system to reduce shopping time in supermarkets

Doing daily shopping in a Peruvian supermarket means a large investment of time for many people, usually due to inaccurate and faulty scanning of products by barcodes at supermarket checkout counters. For this reason, an embedded system based on internet of things (IoT) and radio frequency identification (RFID) is designed to reduce shopping time in a supermarket. The system uses an ESP32 development board with embedded hardware specialized in IoT projects and firmware development based on C language and real-time operating systems (FreeRTOS) through espressif’s IoT development framework (ESP-IDF). RFID tags were used to scan the products and IoT with message queuing telemetry transport (MQTT) communication protocol are implemented to a local database in real time. The system achieves a significant reduction in terms of scanning time compared to self-service checkouts using barcodes, which allows to statistically analyze the reduced time per quantity of products and the linear trend of the 2 samples.

Use of wireless technologies in IoT projects

When it comes to creating projects based on the use of the Internet of Things (IoT), wireless sensor networks are often used. Edge computing in IoT technology reduces system response delays to sensor output signals and increases the network throughput. At the same time, a short-range sensor network can work locally without access to the Internet, while long-range networks, as a rule, require access to the Internet and use both edge and cloud computing. The paper shows the features of the application of both peripheral and cloud computing in the practical implementation of IoT projects with various methods of wireless data transmission. Specific examples show the possibility of data transmission over a short distance using ESP-NOW technology, nRF24L01 radio modules and creating a local Wi-Fi access point. The range of sensor data transmission between microcontrollers is practically determined for each proposed option. The calculation of the range of the LoRa radio line is carried out for the actual sensitivity values of the receiver. The Okamura-Hata radio wave propagation model is proposed to estimate the LoRa radio line’s total loss. The operational range of LoRa modules with different types of signal modulation is practically determined. The essence of edge computing combined with digital and analogue sensors is shown. Peculiarities of peripheral computing during the implementation of IoT projects for remote control of blood saturation of patients using wireless technologies are considered. An example of data transmission of the air quality control system through a gateway based on an ESP8266 microcontroller with a graphical display of measurements in the IoT cloud service ThingSpeak and Blynk was provided.

Textual sentiment analysis and description characteristics in crowdfunding success: The case of cybersecurity and IoT industries

Crowdfunding platforms offer entrepreneurs the opportunity to evaluate their technologies, validate their market, and raise funding. Such platforms also provide technologies with an opportunity to rapidly transition from research to market, which is especially crucial in fast-changing industries. In this study, we investigated how the sentiments expressed in the text of the project campaigns and project characteristics influence the success of crowdfunding in innovative industries such as cybersecurity and the Internet of Things (IoT). We examined 657 cybersecurity and Internet of Things (IoT) projects between 2010 and 2020 that were promoted on Kickstarter and IndieGoGo, two rewards-based crowdfunding platforms. We extracted technological topic attributes that may influence project success and measured the sentiments of project descriptions using a Valence Aware Dictionary and sEntiment Reasoner (VADER) model. We found that the sentiment of the description and the textual topic characteristics are associated with the success of funding campaigns for cybersecurity and IoT projects.

Home Automation System Using ESP8266 and Blynk Mobile App

The emergence of Internet of Things (IoT) technology has revolutionized various aspects of our lives, including home automation. This abstract introduces a home automation system based on the ESP8266 microcontroller, a versatile and cost-effective solution for IoT projects. The proposed system aims to provide homeowners with remote control and monitoring capabilities over various home appliances and devices through a user-friendly interface. The core components of the system include the ESP8266 microcontroller, which serves as the central processing unit, and sensors/actuators for interaction with the physical environment. The system utilizes Wi-Fi connectivity to establish communication between the ESP8266 module and a designated mobile application or web interface, enabling users to remotely monitor and control connected devices from anywhere with internet access. Keywords: Home-Automation, Energy Efficient, Blynk IOT Platform.

Assessing Malaysia’s Internet of Things (IoT) Readiness Based On CREATE-IoT Key Performance Indicators

The current nationwide deployment of Internet of Things (IoT) in Malaysia has never been assessed nor benchmarked against any Key Performance Indicators (KPIs). A proven IoT assessment standard called CREATE-IoT has successfully driven IoT projects in European countries, and it is hence used as a benchmarking tool in this research. The assessment that includes both technical and business perspectives concludes that 42 out of 50 KPIs (84%) in Malaysia are in the advanced state. Malaysia is thus rated as an IoT-ready country. However, rooms for improvement exist in the scopes of providing expected duration for completing an IoT service transaction to predict the level of customer satisfaction when using the service – and the ability to produce IoT sensors and devices locally to have sustainable, scalable, and economical continuous IoT deployments.

Application of the Internet of Things in Banking Activities

Internet of Things (IoT) technology has been of great interest in the banking sector in recent years. In order to keep up with digital transformation, commercial banks have been implementing many IoT projects, accelerating the digitalization process. The article is based on research on IoT, practical statistics in the industry and data at commercial banks in Vietnam. To understand IoT technology and how the banking industry approaches this technology. How has the Internet of Things helped commercial banks in the technology race and what benefits does it bring to customers using the service? In addition, the research paper also addresses the challenges that IoT is currently facing. Thereby, we propose a few recommendations to contribute to improving and solving those challenges.

Workshop Peningkatan Softskill Pengenalan dan Pemanfaatan Internet Of Things (IOT) Siswa SMK Negeri 1 Air Joman

This workshop aims to enhance the soft skills of vocational high school students through the introduction and utilization of Internet of Things (IoT). Participants will be acquainted with the fundamental concepts of IoT and how this technology can enrich their interpersonal abilities. The workshop focuses on developing communication skills, teamwork, and problem-solving through the implementation of simple IoT projects. Additionally, participants will understand the positive impact of IoT usage in daily life and the industrial sector. Active learning methods, such as group discussions and project simulations, will provide practical experiences that enrich students' understanding of these concepts. Thus, it is anticipated that this workshop will significantly contribute to equipping vocational high school students with relevant soft skills, supporting their readiness to face challenges in the future. Keywords: Internet of Things; arduino; kodular

DESIGN OF LABM2M PLATFORM AS IOT (INTERNET OF THINGS) GATEWAY USING WEB SERVICE

The creation of a platform is one of the advancements in technology and the internet which refers to industrial 4.0, to implement industrial 4.0 one of the main supporting factors is the availability of digital infrastructure. One of them is the internet of things (IoT). IoT itself refers to a network of physical devices, vehicles, household appliances, and other items that are embedded with electronic devices, software, sensors, actuators, and connectivity that make it possible to connect to the internet network and collect and exchange data. However, IoT devices have certain limitations on their storage loads and computing power. Storage refers to how and where data will be stored, while computing power refers to processing power, memory, network, and is processed in such a way that it is displayed to end users and has the ability to transfer data over the network without requiring human-to-human (P2P) interaction. or human to computer (P2M). Judging from the existing limitations, there is a way out, namely by using PaaS (platform as a service) which utilizes web services as the main foundation of this IoT Gateway. Where end users can integrate IoT projects that are being developed easily and quickly without thinking about the storage load and computing power limitations. To find out the performance of the system created, an analysis is carried out by monitoring simultaneously and using different devices. And the system is able to handle every request and response from the client.

Development of assessment framework for process agility in internet of things projects

Development of assessment framework for process agility in internet of things projects

Assessing Computational Thinking, Motivation, and Grit of Undergraduate Students Using Educational Robots

Educational technologists and practitioners have made substantial strides in developing affordable digital and tangible resources to support both formal and informal computer science instruction. However, there is a lack of research on practice-based assignments, such as Internet of Things (IoT) projects, that allow undergraduate students to design and demonstrate educational robots using digital or physical assistance, especially when it comes to computational thinking (CT) and programming skills development in association with their psycho-emotional experience. This study compares the impact of Scratch and LEGO® WeDo robotic kits on students' CT and programming skills development. A quasi-experimental approach was conducted, involving two hundred forty-six participants ( n = 246), who were equally divided between Scratch and LEGO® WeDo groups. Results indicate that the LEGO® WeDo group showed greater improvement in CT and programming skills development, while designing and presenting IoT projects. Nevertheless, no significant association between motivation, grit, and CT skills was observed. The findings highlight the potential of tangible robotics in facilitating students’ hands-on learning and enhancing motivation to foster CT and programming skills. This study provides a wide range of implications for instructional designers on how to use tangible robotics to support hands-on IoT projects in computer science courses.

The Impact of the Internet of Things (IoT) on Healthcare Delivery: A Systematic Literature Review

The Internet of Things (IoT) also has a huge impact on dramatically lowering healthcare expenses and increasing treatment outcomes. The only ways that patients could communicate with doctors before the Internet of Things were in person, over the phone, or via text. There was no feasible way for healthcare providers to assess patients’ health and offer advice continuously. IoT-enabled technological equipment has made remote monitoring possible in the healthcare industry, opening opportunities to keep patients safe and healthy and empowering medical professionals to provide the best treatment possible. This review provides a comprehensive study of the literature on IoT’s impact (negative or positive) on healthcare delivery and why it is difficult to implement despite its enormous benefits. Search engines (journal publishing databases) like Google Scholar, PubMed, and ScienceDirect were used to find studies on the impact of IoT-based healthcare delivery. Data were extracted from papers found, and the quality of studies that qualified for inclusion and exclusion was assessed and reported. It includes the proposed technologies’ validation as well as their clinical effectiveness. The review found that the lack of government commitment to financing IoT projects is a challenge to its implementation in healthcare delivery since it involves huge capital at the beginning and its maintenance. In addition, some medical professionals are still acquainted with the old-fashioned (manual) ways of delivering their services, hence avoiding the technological approach. Despite the challenges, one noted the positive effect of IoT in healthcare delivery is that doctor-patient interactions have gotten simpler and more effective; it has also raised patient participation and satisfaction. Furthermore, remote patient monitoring shortens hospital stays and avoids readmissions by monitoring patients’ health.

Internet of Things (IoT) Based Temperature Monitoring System on The Low Voltage Sub-Distribution Panel (LVSDP) Busbar

In this study, a tool is designed to monitor the temperature on the busbar of the Low Voltage Sub Distribution Panel (LVSDP) based on the Internet of Things. This tool uses the internet network to receive data from a sensor in real-time. The tool in this study is designed to detect the heat generated by the busbars of each phase installed in the LVSDP. Real-time display on the smartphone provides notification if the temperature on the busbar has exceeded the preset set point. To monitor the temperature on the busbar, real-time monitoring is needed which will make it more convenient for technicians to carry out maintenance. Monitoring the temperature on this busbar will be carried out by utilizing technology from IoT which will be connected to the internet and integrated with smartphone devices. In this study, the authors will use the ESP32 module as a medium for receiving, storing, and displaying data on smartphone devices. ESP32 is a module often used for IoT projects. Equipped with Wi-Fi and Bluetooth features and has a Dual-Core Microprocessor which will make data processing faster. To be able to receive temperature data, an infrared MLX90614 sensor is needed. The MLX90614 infrared sensor is an electronic component that functions to detect heat without touching the object whose heat is to be measured because this sensor is facilitated with infrared light which can be directed at the object.

An Empirical Study of the Technoparks in Turkey in Investigating the Challenges and Potential of Designing Intelligent Spaces

The use of innovative technologies in workspaces, such as the Internet of Things (IoT) and smart systems, has been increasing, yet it remains in the minority of the total number of smart system applications. However, universities and technopoles are part of open innovation that can encourage experimental IoT and smart system projects in places. This research considers the challenges and advantages of developing intelligent environments with smart systems in the Technology Development Zones (TDZs) of Turkey. The growth of Silicon Valley has inspired many technopoles in different countries. Thus, the article includes first a comprehensive survey of the story of Silicon Valley and the emerging technological potential of open and responsible innovation for intelligent spaces and technoparks with rising innovative interest. The study then conducts empirical research in inspecting the performance of TDZs in Turkey. In the research, machine learning and Artificial Intelligence (AI) models are applied in the analyses of critical performance indicators for encouraging incentives and investments in innovative attempts and productivity in TDZs; the challenges, potential, and need for intelligent spaces are evaluated accordingly. This article also reports on the minority of the design staff and the lack of innovation in developing intelligent spaces in the organization of the creative class in Turkey. Consequently, the research proposes a set of implementations for deploying intelligent spaces to be practiced in new and existing TDZs by considering their potential for sustainable and responsible innovation.

The Influence of Absorption and Need for Cognition on Students’ Learning Outcomes in Educational Robot-Supported Projects

The field of educational technology has made significant strides, offering cost-effective multimedia tools and physical resources to facilitate both formal and informal teaching methods in computer science, with a particular emphasis on the development of computational thinking (CT) and programming skills. However, there is a lack of research focusing on practice-based tasks, such as Internet of Things (IoT) projects, for undergraduate students to demonstrate and program educational robots using digital and physical-supported instructional approaches. Specifically, there have been no studies examining the association between students’ learning outcomes and their absorption and need for cognition on different platforms, such as Scratch and LEGO® WeDo. This study aims to provide empirical evidence by comparing the impact of two different platforms commonly used in programming courses to teach undergraduate students how to design, develop, and program IoT projects using educational robots. A quasi-experimental study was carried out to examine whether there were any significant variations in students’ CT skills and programming development, as well as to evaluate their learning outcomes with regard to their need for cognition and absorption when they applied their coding expertise to real-world IoT projects. As a point of reference (control condition), twenty students (n = 20) utilized LEGO® WeDo robotics kits and Scratch for coding tasks, which is the most familiar instructional approach. In the intervention approach (experimental condition), thirty-seven students (n = 37) used LEGO® WeDo robotics kits and their software to learn how to code their educational robots. Participants from the latter group learned how to design and demonstrate the program and showed superior CT skills and programming skills development than their counterparts in the control group who used Scratch. Furthermore, the results indicate that students with higher levels of CT skills and programming execution reveal lower absorption but a higher need for cognition in educational robot-supported IoT projects.

A survey on low-cost development boards for applying cryptography in IoT systems

The accelerated growth of the Internet of Things (IoT) around the world is noticeable in applications such as smart homes or smart health. The main manufacturers of electronic devices are offering alternatives for the easy implementation of IoT projects by using low-cost development boards with advanced performance and information security features. The importance of maintaining privacy in data exchange has been considered by these manufacturers have added dedicated cryptographic modules that are compatible with the main cryptographic algorithms. The most significant problem with these modules is that albeit the use of cryptographic algorithms, there are information security weaknesses in hardware implementations to be considered. The purpose of this survey is to theoretically compare the characteristics of the development boards currently used for cryptographic applications in IoT systems. From a rigorous selection, seven of thirty-one possible development boards for IoT were selected and compared under two fundamental requirements: low-cost and cryptographic security mechanism offered. As a consequence of the study performed and the development boards analyzed in this work, it was possible to generate a guide for the selection of secure development boards for IoT applications.

Security Evaluation of Arduino Projects Developed by Hobbyist IoT Programmers

Arduino is an open-source electronics platform based on cheap hardware and the easy-to-use software Integrated Development Environment (IDE). Nowadays, because of its open-source nature and its simple and accessible user experience, Arduino is ubiquitous and used among hobbyist and novice programmers for Do It Yourself (DIY) projects, especially in the Internet of Things (IoT) domain. Unfortunately, such diffusion comes with a price. Many developers start working on this platform without having a deep knowledge of the leading security concepts in Information and Communication Technologies (ICT). Their applications, often publicly available on GitHub (or other code-sharing platforms), can be taken as examples by other developers or downloaded and used by non-expert users, spreading these issues in other projects. For these reasons, this paper aims at understanding the current landscape by analyzing a set of open-source DIY IoT projects and looking for potential security issues. Furthermore, the paper classifies those issues according to the proper security category. This study's results offer a deeper understanding of the security concerns in Arduino projects created by hobbyist programmers and the dangers that may be faced by those who use these projects.

Enhancing IoT Project Success through Agile Best Practices

Worldwide spending on Internet of Things (IoT) applications is forecasted to surpass $1 trillion by 2022. To stay competitive in this growing technological industry segment, lowering costs while increasing productivity and shortening time-to-market will become increasingly important. Adopting Agile Software Development practices for IoT projects may provide this competitive advantage, as it enables organizations to respond to change, while being dynamic and innovative. Applying a mixed-methods approach, agile IoT practitioners around the world and from diverse industries were surveyed and interviewed. Our study recommends that Agile Software Development team makeup, practices, and methods should be tailored to the specific industry, culture, people, and IT application of an organization. People play an important role in the success of agile projects; therefore, our research focuses on identifying the critical attributes of agile teams to maximize success. Our study identified the five critical agile practices: Collective Code Ownership, Continuous Integration, Single Team, Dedicated Customer, and Sprint Planning and found that both technical and soft skills are essential for successful IoT development.

УПРАВЛЕНИЕ ЦИФРОВОЙ ТРАНСФОРМАЦИЕЙ ПРЕДПРИЯТИЯ: ОРГАНИЗАЦИОННЫЕ И МЕТОДИЧЕСКИЕ АСПЕКТЫ ОЦЕНКИ УРОВНЯ ЗРЕЛОСТИ ЭКОСИСТЕМЫ ТЕХНОЛОГИЙ ИНТЕРНЕТА ВЕЩЕЙ

In the article, the authors reveal the directions of solving the problem of forming effective methodological support for the digital transformation management system of industrial enterprises. The main focus of the work is on the development of the enterprise’s management system and digital infrastructure based on Industry 4.0 technologies in a high-risk environment and uncertainty. The study presents a methodology for assessing the level of digital maturity of an industrial enterprise and its infrastructure built on the basis of Internet of Things (IoT) technologies. The developed author’s methodology includes a system of criteria for assessing the level of digital maturity, a mathematical model and a system of recommendation characteristics of the values obtained based on the evaluation results. Based on the results of the evaluation system, it is possible to conduct a comparative analysis of the level of digital maturity of the infrastructure and infrastructure of selected business entities. The model can also be used to analyze and make management decisions about the initiation of IoT projects and the allocation of resources between strategic projects of digital transformation of an industrial enterprise. The developed mathematical model is a point-based one. IoT projects that form the digital infrastructure of enterprises have been selected as objects of digital transformation research. The novelty of the research lies in the development of a methodology for assessing the maturity level of the IoT infrastructure in the digital transformation project management system to improve the efficiency of project management processes. The main purpose of this research is to develop tools to support the management decision-making process in the digital transformation project management system. The proposed developments can be applied to the management of projects for the digital transformation of industrial enterprises and the development of IoT infrastructure. When developing a methodology for assessing the level of digital maturity and infrastructure built on the basis of IoT technologies, system analysis methods such as analysis and synthesis, expert method and mathematical modeling were used. Their complex combination made it possible to work out all the elements of the methodology, as well as to systematize the composition of the evaluation criteria, taking into account the qualitative and quantitative reflection of the characteristics of the digital infrastructure.

Deep learning for enhancing internet of things: A comprehensive survey

The Internet of Things (IoT) has emerged as a transformative technology, connecting a wide range of devices and sensors to the internet, enabling data-driven decision-making and automation across various domains. Deep learning, a subset of machine learning, has played a pivotal role in advancing IoT applications by providing the means to process and interpret the massive volumes of data generated by IoT devices. This comprehensive survey provides an extensive review of the integration of deep learning techniques with IoT, aiming to offer a holistic understanding of the state-of-the-art research and practical implementations. The key motivations include handling complex IoT data and enabling smart applications across domains like healthcare, transportation, and industry 4.0. Real-world case studies demonstrate significant improvements on metrics like prediction accuracy, operational efficiency, and energy savings. The adoption of edge computing is further driven by the need to reduce latency in data processing and enhance real-time decisionmaking capabilities in these critical sectors. However, challenges remain around model interpretation, robustness, and computational complexity. Future IoT systems must focus on lightweight deep learning architectures tailored for edge devices, distributed and privacy-preserving analytics, and improved model transparency and fairness. Additionally, these future IoT systems should prioritize robust security measures to protect sensitive data and ensure the reliability and integrity of connected devices and networks. A systematic framework is proposed covering data curation, model development, deployment, and monitoring to guide adoption. The comprehensive nature of this survey aims to bridge the gap between theoretical knowledge and practical deployment, enabling a smoother integration of deep learning into IoT systems. By offering a structured overview of best practices and emerging trends, it empowers professionals to make informed decisions in their IoT projects.