Internet Of Things Concept Research Articles

Green IoT Based on Tropical Weather: The Impact of Energy Harvesting in Wireless Sensor Network

Wireless Sensor Networks (WSNs) are a key component of Green IoT, as they play a critical role in many applications. However, a major challenge faced by WSNs is their limited energy capacity, which can impede their effectiveness. To address this issue, energy harvesting techniques are used to harness ambient energy and power the nodes, eliminating the need for frequent battery replacements or recharging. This study proposes a solar energy harvesting technique to prolong the lifespan of each wireless sensor node in a network. The aim of the research is to assess the impact of energy harvesting on wireless sensor networks with a focus on solar ambient light energy, as it is a critical component of achieving a Green Internet of Things (IoT). The study is adapted to the tropical weather of Malaysia and its forecasted conditions. Through the use of NetSim simulations, the energy efficiency and reliability of the network are evaluated using solar energy harvesting. The recharge rate for energy harvesting in a wireless sensor network is calculated to be 2.34W per day using a 55x70mm solar photovoltaic panel based on Malaysia weather forecasts and sun hours. This proposed method is successfully executed using NetSim, which utilizes real device parameters for a WSN in a simulated agriculture environment. The results show an overall improvement of 22.4 percent in performance parameters in all areas, including energy consumption, network layer, routing performance, and IEEE 802.15.4 metrics, representing a significant improvement. With the implementation of solar energy harvesting, traditional energy of WSNs can benefit from developing smart agricultural monitoring systems. This efficient method and calculation for solar energy harvesting can help to sustain the infinite lifetime of WSN by optimizing the operational time to 18% of the duty cycle. Results demonstrate that the proposed method can effectively increase the energy efficiency and reliability of the network, making it a promising solution for WSNs operating in tropical regions. This research contributes to the development of sustainable and energy-efficient WSNs, promoting the Green IoT concept.

Implementasi Smart Home pada Platform Apple Homekit dan Google Home dengan Raspberry Pi 4B

This research examines the significant impact of technological advances, especially in the Internet of Things (IoT) paradigm, on various aspects of human life strongly manifested during the In-dustrial Revolution Era 4.0. The main focus of this research is on the application of advanced and innovative IoT concepts in the context of smart homes, integrating popular platforms such as Apple HomeKit and Google Home. The temperature sensor (DHT11) and light sensor (LDR) play a key role as important input elements, enabling the optimization of smart home automation functions. Raspberry Pi 4B was chosen as the main platform, the "brain" of the system, providing reliable computing capabilities. Using four-channel relays, this research specifically aims to increase ef-ficiency and integration in controlling devices in the smart home ecosystem. By emphasizing the concept of optimization, this research proposes a smart solution that is expected to not only provide an integrated and efficient experience for smart home users but also unlock the potential for further development of IoT technology. As a result, the implementation of the solutions proposed in this research is expected to create a smart home that is not only technologically smart but also responsive to the needs and preferences of its occupants, paving the way for further in-novation in the development and application of the Internet of Things in various contexts of human life.

Uptake of Internet of Things by SMEs in digital era in emerging economies: A systematic literature review

This paper aims to establish the uptake of Internet of Things (IoT) by small and medium enterprises (SMEs) in the digital era in emerging economies. This study aims to 1) determine adoption of IoT by SMEs during digital era in emerging economies, 2) establish challenges faced by SMEs in implementing IoT in emerging economies, and 3) develop a framework for digital transformation for SMEs in digital era in emerging economies. Systematic literature review approach was used. Articles from Scopus database ranging from 2018 to 2023 was used. 57 articles were shortlisted out of 153 articles. PRISMA framework was therefore used to perform systematic review analysis. Results demonstrate that in emerging economies, SMEs do not or are slowly adopting IoT concepts, making them less competitive. The results also determine that although IoT has great promise in SMEs, the key constraint is a lack of strategic implementation frameworks for its deployment and widespread adoption. This study was therefore carried out to develop a framework that supports digital transformation for SMEs in the digital era for emerging economies. Results have significant managerial and practical implications as they offer some insights to SME managers on how they can improve on the uptake and adoption of internet of things in digital era.

Using IoT and Mobile Robots to Model and Analyze Work Processes with Process Mining Techniques

This research explores the practical application of Internet of Things (IoT) technology using mobile robots to collect and store data from their surroundings, including personal information from wearables on cloud systems. It then employs process mining techniques to analyze these raw data. There are three main processes. These processes are 1) Understanding the fundamental concepts of IoT, developing mobile robots, and learning about process mining principles. 2) Creating a system for storing data or event logs generated by IoT devices and mobile robots. 3) Analyzing the collected data using process mining techniques. Through this method, we can learn in-depth about the activities of an individual user. Therefore, the proposed method is an extension of the IoT system for increasing the performance of decision support systems and automated decision systems in real-world applications. Furthermore, the research showcases how services, particularly robots, can be accessed through the Fuzzy Miner model. These methods have practical applications in real-world scenarios, such as human-robot collaboration, inventory management, service tracking, supply chain management, retail, logistics, healthcare, transportation, agriculture, and manufacturing.

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

The Future of Electronic Commerce in the IoT Environment

The Internet of Things (IoT) was born from the fusion of virtual and physical space and became the initiator of many scientific fields. Economic sustainability is the key to further development and progress. To keep up with the changes, it is necessary to adapt economic models and concepts to meet the requirements of future smart environments. Today, the need for electronic commerce (e-commerce) has become an economic priority during the transition between Industry 4.0 and Industry 5.0. Unlike mass production in Industry 4.0, customized production in Industry 5.0 should gain additional benefits in vertical management and decision-making concepts. The authors’ research is focused on e-commerce in a three-layer vertical IoT environment. The vertical IoT concept is composed of edge, fog, and cloud layers. Given the ubiquity of artificial intelligence in data processing, economic analysis, and predictions, this paper presents a few state-of-the-art machine learning (ML) algorithms facilitating the transition from a flat to a vertical e-commerce concept. The authors also propose hands-on ML algorithms for a few e-commerce types: consumer–consumer and consumer–company–consumer relationships. These algorithms are mainly composed of convolutional neural networks (CNNs), natural language understanding (NLU), sequential pattern mining (SPM), reinforcement learning (RL for agent training), algorithms for clicking on the item prediction, consumer behavior learning, etc. All presented concepts, algorithms, and models are described in detail.

Utilizing Classroom Application of Facial Recognition Techniques through Internet of Things (IOT) Devices

In the contemporary era, technology has become an indispensable component of our daily lives, augmenting our existence in manifold ways. Notably, face recognition and Internet of Things (IoT) have undergone significant advancements in performance over the last few years. This phenomenon can be attributed to two factors namely, optimization of cost and time in the classroom, while simultaneously ensuring accuracy in attendance, and the ability to connect with electrical equipment automatically. The current study proposes an automatic smart classroom application that utilizes the concepts of IoT and face recognition. Specifically, the application relies entirely on face detection and recognition to automatically detect the presence of students in the classroom and mark their attendance. Moreover, the application also provides advanced technology that enables automatic switching on of electrical power, including but not limited to lamps, fans, LCDs, and air conditioning systems. This feature not only reduces energy consumption but also allows for monitoring of units consumed. The proposed solution represents a significant step towards establishing a smart classroom. Results and analysis of the IoT solution demonstrate that it accelerates the availability process in the classroom without requiring human intervention.

IoT and Digital Twin: a new perspective for Cultural Heritage predictive maintenance

In the construction sector, the maintenance and monitoring of buildings are of fundamental importance, both in civil and cultural heritage buildings, ensuring their preservation, safety, and proper functioning over time. The preservation of the built heritage is one of the main objectives that a nation must pursue, and thanks to the ever-increasing spread of new technologies, it is possible to apply innovative approaches capable of monitoring in real-time the progressive damage of structures or intercepting sudden situations capable of causing extensive damage. Traditional monitoring methodologies, employed so far, are based on direct inspections and manual data collection, and are often expensive and only sometimes effective. In this scenario, a significant contribution has been made by the Internet of Things (IoT) paradigm, which has made it possible to collect real-time data from sensors placed on the structures to be monitored, thus enabling the implementation of predictive maintenance methodologies. A further contribution to the development of these methodologies has come from the emergence of the concept of the Digital Twin (DT), a digital model of an intended or actual real-world product, system or physical process that serves as an effectively indistinguishable digital counterpart of it for practical purposes such as simulation, integration, testing, monitoring and maintenance. In order to make the DT even more effective, it is possible to link it to the real structure through BIM, i.e. a process applied to existing buildings or monuments that aims not only at the mere restitution of the three-dimensional model but above all at the creation of so-called ‘intelligent models’. The latter is rich in geometric information, including the state of conservation of materials, in which all components are parametric objects with well-defined semantics and can contain all the historical information derived from an adequate documentary analysis. Starting from the above, this paper aims to present a methodology for monitoring an existing building, exploiting innovative technologies based on DT and IoT concepts. The case study analyzed is the Scientific Library of the University of Salerno, and the first results of the experiment are more than satisfactory.

Research of protocols and technologies data transmissions in IoT networks

Important functions of the concept of the Internet of Things are the facilitation of everyday life, improvement of efficiency and quality of work, energy saving, etc. More and more often, data from "things" are transferred to the public communication network and cloud services. Any objects in the physical world that can be assigned IP addresses and are capable of transmitting data can act as "things" in such a network. Various technologies and protocols are used for data transmission, of which there are currently more than twenty. In the near future, a large number of devices will be connected to the Internet of Things. Most of these devices will run on batteries. At the same time, one of the main characteristics is the duration of equipment operation without human intervention. In order to solve this problem, new networks were created specifically for the Internet of Things. These networks are called LPWANs. At the same time, one of the key issues is the optimal selection of the method of information transfer between nodes in the Internet of Things concept. After conducting an analysis of open sources, it is possible to conclude about the prospects of using the following technologies for these purposes: NB-IoT, Weightless, LoRa, SigFox. The subject of research in the article is long-distance data transmission technologies and protocols used to send information from a sensor to a cloud service in the context of the Internet of Things. The purpose of the study is to review and compare the main technologies and protocols for long-distance data transmission in Internet of Things networks. A comparative analysis of the main characteristics of long-distance data transmission protocols and technologies of the LPWAN network was carried out: NB-IoT, Weightless, LoRa, SigFox. The results of the analysis are presented in the form of a table. Experimental results have shown that the effectiveness of the considered protocols and technologies depends on various conditions of the communication network. In this regard, currently the choice of protocols for devices depending on operating conditions helps to solve the problem of saving resources, both energy consumption and guaranteed delivery. This is especially relevant in connection with the spread of the Internet of Things technology and the increase in the total number of "things".

A comprehensive survey on the significance of industrial Internet of Things, energy management and big data analytics

The adaptive worldwide network architecture made up of web-enabled, objects connected through internet generally defines the concept of Internet of Things (IoT). In today’s world, IoT is contributing towards the transformation of the traditional industries to the smart industries by integrating the concept of IoT based energy management system into the analytics-based information system of the industries. Manufacturing businesses have concluded that by providing a digital identity to their tangible resources through IoT-based solutions, they can gain higher clarity into their processes and massively improve them. To estimate and analyze the developments in this field, this paper conducts an in-depth survey on the significance of big data analytics and energy management in shaping the progress of the Industrial Internet of Things (IIoT). It briefs the components related to the building blocks of the IoT, its application in various domains, benefits and the major challenges faced for building IoT technologies. This review present cutting-edge research on how IoT technology adoption might propel the transformation of industrial companies that are energy-efficient and environmentally sustainable.

An Efficient Agricultural Data Analysis Based On IOT

Science-based agriculture is increasing due to the rapid development of science and technology. To keep up with today's technology, many agricultural experts are turning to the Internet of Things (IoT) to drive advances in this field. For India, agriculture is the backbone of the Indian economy. The most important issue in today's technology is climate change. This review aims to provide an overview of IoT in agriculture and food to better understand the use of IoT and how it solves the above problems. Start by defining and further explaining the concept of IoT. The next section summarises the analysis results and discusses application areas, technical support, and future challenges.

UMKLAmart.ac.id: Campus-based Economic Empowerment Movement using Web-based Technology on Muhammadiyah Higher Education in Indonesia (Universitas Muhammadiyah Klaten Chapter)

Abstract. The importance of campus financial sustainability is starting to feel important, especially with the outbreak of COVID-19 and the Industrial Revolution 4.0, which increasingly empowers the nation’s need for financial freedom which is supported by a data innovation framework. The development of bedukmutu (buying and buying quality products) with the UMKLAmart.ac.id marketplace instrument offers arrangements to answer this challenge. The development of bedukmutu quality at Universitas Muhammadiyah Klaten is an entrepreneurial development based on the attraction of the need to encourage purchases by the campus academic community. Buying and selling is one of the things that must be done so that universities have a stake in realizing economic independence. UMKLAmart.ac.id can become a web-based commerce center application that carries the concept of IoT (Internet of Things), which prioritizes comfort and convenience for the millennial era. The reason for the benefit of our society is to create an entrepreneurial atmosphere and the realization of financial independence at Universitas Muhammadiyah Klaten. For the benefit of this community, the use of bedukmutu with the back of the UMKLAmart.ac.id commercial center is carried out in three stages, more specifically, starting with conceptualizing with the Muhammadiyah Klaten Higher Education academic community while conducting Focus Group Discussions (FGD) with the Universitas Muhammadiyah Klaten Higher Education academic community, and third, creation and socialization of UMKLAmart.ac.id to the academic community. The result of this community benefit is the development of quality drums with the support of the UMKLAmart.ac.id commercial center application at Universitas Muhammadiyah Klaten. The benefits of this community are in the expansion to create an entrepreneurial environment and financial freedom for the academic community and Universitas Muhammadiyah as a charity for educational efforts in Muhammadiyah, as well as to coordinate hypotheses and hone real entrepreneurial learning.

The THE USE OF LAW IN CHINA IoT OPERATION INTELLIGENCE CONCEPT

Internet of Things (IoT) currently become one of the most developing systems in the world. Private to government used it for their intelligence tools. It will support them to complete mission, such as investigations, security, and recruitment. In international intelligence, IoT concept has already used cause of its effectivity. These conditions are also supported by modern cyber era that can stored our data throughout the world digital form. Currently, China is one of the countries that is making breakthroughs in domestic law to advance its national interests. This research tries to find new points of view and compare data in the form of papers, news, research topic articles, books, and journals. It is hoped that this research can help understand the correlation between law and intelligence regarding the use of IoT in the current era of modern intelligence.

Improving the IT Competence of Vocational High School Teachers with Internet of Things Training Based on ESP 8266

Abstract. This training aims to improve participants' understanding and skills of SMK Muhammadiyah 3 Yogyakarta Teachers in developing IoT applications using the ESP8266 module. The employed training techniques encompass both theoretical and practical modules, as well as interactive group discussions. Trainees are interested in technology and want to expand their knowledge of IoT. During the training, participants were given an understanding of the basic concepts of IoT, an introduction to the ESP8266 module, and how to use the Arduino IDE for microcontroller programming. The results of this dedication show a significant increase in participants' understanding and skills after attending the training. Participants can understand the basic principles of wireless communication, install, and configure the ESP8266 module, and develop simple IoT applications. Evaluation of the participants showed high satisfaction with this training. The training was deemed highly beneficial and applicable to the participants' everyday routines. Participants also feel more confident in facing challenges in developing IoT applications. The training program is expected to yield enduring advantages, foster indigenous ingenuity, and enhance community engagement with the Internet of Things (IoT) technology.

Design of Internet Of Things (IoT) trainer kit with Multi Communication

Industry 4.0, or the Fourth Industrial Revolution, is a recent technological development that has significantly changed the industrial production process. One of the keys to this change is the Internet of Things (IoT), where the role of humans is likely to diminish and be replaced by machines. Aligning the workforce with IoT is important, but creating a qualified workforce is a challenge. IoT learning modules are needed to help students understand IoT concepts. The purpose of this research is to design an Internet of Things kit module with Radio communication with LoRa SX1278 Ra-02. The research stages start from literature study, hardware design, software design and overall testing. Module testing is done by sending DHT11 sensor data using LoRa SX1278 Ra-02 and monitored in Thingspeak. From the test results that have been carried out, it can be concluded that sending using LoRa (Long Range) technology is influenced by distance and obstacles. At a distance of 40 to 230 metres, communication between the Lora Transmitter and Lora Receiver is successful, which shows that LoRa technology is able to overcome communication distances in that range. However, at a distance of more than 230 metres to 300 metres, data transmission can still be done by the Lora Transmitter, but the data cannot be received by the Lora Receiver, indicating a bottleneck in communication.

Rancang Bangun Prototipe Home Automation Menggunakan Teknologi Internet Of Things

Internet of Things (IoT) technology is often used to monitor and control electronic equipment remotely using the internet. The implementation of Internet of Things technology can be applied to home automation. The implementation of IoT in a home automation system (home automation) can be used to control home lights, home temperature, and electronic plates in the home, and it can even be used to determine the whereabouts of home occupants. In this research, we will create a home automation prototype with the Internet of Things concept, which can be built using the NodeMCU module integrated with a web application. The data communication system in home automation will communicate with the MQTT server and can send data (publish) and receive data (subscribe). The home automation system can carry out manual or scheduled monitoring and control. It can provide notifications whenever a change in the condition or status of the device is being monitored or controlled. Changes in conditions can also occur through sensor readings connected to the NodeMCU module.

Green internet of things and solar energy.

The Internet of Things (IoT) stands out as one of the most captivating technologies of the current decade. Its ability to connect people and things anytime and anywhere has led to its rapid expansion and numerous impactful applications that enhance human life. With billions of connected devices and substantial power and infrastructure requirements, the IoT system can pose a threat to the environment. However, the IoT's vast range of resources and capabilities can also be leveraged to assist in environmental conservation in the evolution of technologies due to massive CO2 emissions, climate change, and environmental and health issues. In this study, with the two-way integration of IoT and green practices, two distinct concepts for green IoT are presented. Among green practices, energy solutions play a vital role in greening the IoT. In this study, the energy solutions for the IoT system are divided as reducing energy consumption and using green energy sources. Solutions for reducing IoT energy consumption are studied systematically through a five-layer framework to simplify its modular design and implementation. Then, the use of green energy resources is discussed for all components of the IoT ecosystem. Leveraging IoT to make the environment and other technologies green is the other concept of green IoT. IoT technology plays a crucial role in enhancing both energy management systems and the efficient harvesting of renewable energy sources. Switching to solar energy from fossil fuel energy is one of the most fundamental green practices today. In this study, the mutual relationship between solar energy harvesting and the IoT is addressed specifically. Several promising research directions in the realm of green IoT are also highlighted.

AKILLI EV SİSTEMLERİNDE KUANTUM ANAHTAR DAĞITIMI

In recent years, with the increase in the widespread use of the internet, the usage areas and the number of users have increased rapidly. Technological advances and efforts to make life easier bring innovation and transformation in many sectors. One of these innovative approaches is the use of Internet of Things (IoT) in home systems. The concept of IoT refers to the ability of objects to communicate with each other over the internet. Smart home systems stand out as systems where different devices come together work in interaction and can be controlled remotely. While this communication and integration offers various advantages, it also brings security risks. Ensuring security in IoT systems basically includes objectives such as confidentiality, integrity, and authentication. In this study, how the key used in the encryption of data transmitted between the gateway and the cloud in smart home systems can be strengthened with the B92 Quantum Key Distribution protocol is implemented through a scenario. The effect of the Quantum Key Distribution protocol in providing privacy and its advantages against man-in-the-middle attacks are emphasized in this study.

SISTEM PERENCANAAN RUMAH CERDAS BERBASIS INTERNET OF THINGS

The Internet of Things concept is based on expanding the use and benefits of the internet by embedding controllers and sensors that can connect and share data continuously. A Smart Home prototype that can control door locks, lights and electrical pathways with easy control access. In this design, the device that will be used is an IoT-based controller, namely nodeMCU with connected actuators, namely servo motors, relays, and an IR sensor. The method used is to press a button on the web page and the system will respond to the request from the web page and convert it into an action, namely locking the door, or cutting off the electricity. To access it globally, by opening port forwarding on the router you can then access the web page of the smart home system prototype via the connected IP address so that the system can be controlled via the internet. With this system, it is hoped that users can increase time efficiency.

Application of Internet of Things in Residential Distribution Systems

Enabling an internet of things (IoT) application in residential distribution systems by integrating houses with IoT windows and occupant behavior can provide numerous advantages to the power grid, including, but not limited to, demand diminution, congestion reduction, and capacity deferral. This paper presents a new framework that mathematically enables an IoT application in residential distribution systems by integrating IoT windows and occupant behavior with houses for load management and energy conservation. With the proposed framework, we model residential loads considering the IoT concept, and then develop a mathematical optimization model that facilitates the integration of IoT-based houses into the residential distribution system. Different case studies considering a 33-bus distribution network are presented and discussed to demonstrate the effectiveness of penetrating IoT-based houses on distribution system operations and household profitability. It is observed that the profit of the local distribution company decreases when houses are transformed to IoT-based houses due to the fact that less energy is sold to the households. On the other hand, the operation cost of the IoT-based house is lower than that of the conventional house because of the better-managed house energy use, thereby resulting in saving money. It is found that 10% and 20% penetrations of IoT-based houses help reduce the maximum power imported through the distribution substation by 30 kW and 60 kW, respectively. It is also found that the load of IoT-based houses and power availability of a rooftop photovoltaic generation are not compatible, and hence, without an action from the customer and/or utility to coordinate them through a demand response program, IoT-based houses would not contribute to increasing the connectivity of PV-distributed generation in the smart grid.