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This research explores the concept of Worldwide one network (WON), a hypothetical ultra-large scale ad-hoc wireless network characterized by its non-hierarchical, open, scalable, homogeneous, and autopoiesis nature. The primary objectives are to address challenges in network formation, individual node unique addressing, and network management. This paper proposes a novel addressing mechanism named 'Cubid', which utilizes geo-coordinates as the primary identifier for network nodes with 1 m resolution and aims for at least 512 unique node addresses per cubic meter space on Earth. Unique three-dimensional address space, received signal strength based trilateration for network formation, address negotiation, and the use of Cubid as a MAC address to bypass traditional Layer 2–3 Internet Protocol activities are few of the differentiator aspects involved in this research work. Preliminary tests of this hypothetical network yield in practical viability of identifying network node's geographical coordinates with an accuracy of 3 m without GPS devices, and corresponding simulations results in an average frame delivery time of 27 ms over a 100-hop, varying hop length network path. These findings indicate that WON could serve as a viable alternative communication network, especially when substantial infrastructure-based networks, such as the Internet fails. [ABSTRACT FROM AUTHOR]

Traditional infant monitoring systems are evolving into intelligent solutions, offering real-time notifications and automation to cater to the demands of multitasking parents. However, most IoT solutions in parental care focus solely on monitoring, lacking automatic smartphone control. In response to this gap, we developed an IoT-based system for automatic cradle monitoring. This system not only enables smartphone-based monitoring but also allows parents to control the cradle's swing speed and receive notifications through a mobile application. Our solution integrates PIR and sound sensors, an ESP8266 microcontroller, and a Wi-Fi module to create a robust monitoring system that tracks a baby's movements and sounds, sending instant notifications to the smartphone. The user can activate the system and adjust the cradle's motion using a slider based on sensor data. This IoT-enabled smart baby cradle enhances convenience and reduces parental stress, ensuring infant well-being and safety. A survey conducted among Universiti Teknologi MARA instructors revealed that 70% preferred automatic swing cradles over traditional ones, and 80% expressed the need for IoT integration in infant cradles, highlighting the growing demand for such advanced solutions.

This research focuses on a comprehensive analysis of the energy efficiency of the Renesas DA16200 microcontroller. The investigation adopts a comparative approach, directly contrasting the power consumption of the DA16200 with the widely used ESP8266 controller under identical operating conditions. The primary metric employed to assess energy efficiency is average battery life. Additionally, a detailed examination of current consumption is conducted across various operational modes, encompassing active states like data exchange, reception, and transmission, as well as low-power sleep mode. This analysis extends beyond simply measuring peak current draw. Transient current profiles are captured, providing time-resolved insights into how current consumption fluctuates throughout different operational phases. This granular data enables a deeper understanding of the microcontrollers' energy utilization patterns. Furthermore, the research explores and evaluates techniques for minimizing energy consumption specifically in the ESP8266. These findings are then juxtaposed against the inherent energy-saving features of the DA16200 microcontroller. To facilitate a precise and verifiable comparison, a custom test bench accommodating both the DA16200 and ESP8266 is designed and implemented. This controlled environment ensures consistency in operating conditions and minimizes external variables that could influence the results. The culmination of this research is the presentation of a comprehensive analysis, detailing the comparative energy consumption profiles of the studied microcontrollers. This data forms the foundation for objectively evaluating their suitability for various low-power the Internet of Things applications.

Copyright of Przegląd Elektrotechniczny is the property of Przeglad Elektrotechniczny and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This research article introduces a microcontroller-based prototype system called the Battery Health Monitoring System (BHMS), designed to evaluate the health and condition of lead-acid batteries. The focus of the study is on utilizing the Internet of Things (IoT) for real-time battery monitoring. The system incorporates various sensors to track and record critical parameters such as current, voltage, power drain, state of charge (SOC), temperature, and overall battery health. These sensors are configured to trigger an alert when any monitored parameters fall below predefined values. The study aims to validate the effectiveness of the proposed low-cost system in real-time monitoring of lead-acid batteries. [ABSTRACT FROM AUTHOR]

Greenhouses have long been important in the advancement of agricultural operations because they provide regulated settings for optimal plant growth. With the introduction of real-time monitoring and automation capabilities, the Internet of Things (IoT) integration into greenhouse systems represents a revolutionary change. This abstract delves into the wider field of greenhouse technology, highlighting the role that IoT plays in improving agricultural in controlled environments. Conventional greenhouses provide plants with a protected environment, but they might not be as accurate or flexible. Intelligent control of environmental conditions is made possible by the introduction of IoT-enabled greenhouses, which utilize data exchange protocols, actuators, and sensors that are networked. The project aims to elevate traditional greenhouse models by integrating Node-RED and MQTT technologies. Transitioning from a Blynk-based prototype showcases the system's versatility. Other key components, including NodeMCU, sensors for real-time data, and LED lighting, collaborate to redefine controlled environment agriculture. The Raspberry Pi serves as a central hub, facilitating seamless communication through Node-RED and MQTT. This advanced greenhouse system harmonizes cutting-edge technologies, showcasing a commitment to sophistication and adaptability in agricultural practices.

Kebugaran jasmani merupakan suatu bentuk kemampuan dengan menyesuaikan berat dari tubuh manusia yang harus dipenuhi seseorang agar dapat melakukan segala aktivitas atau kegiatan sehari-hari tanpa ada rasa lelah ataupun gangguan pada tubuh. Kebugaran jasmani juga dapat digunakan untuk mengetahui bagaimana kondisi kesehatan jantung dari berapa kali pengguna melakukan gerakan beserta BPM (Beat per Minutes). Dalam melatih kebugaran jasmani ini terdapat beberapa gerakan yang dapat dilakukan, dalam aplikasi monitoring ini menggunakan gerakan push-up, squat, jumping jacks. Terkadang orang lupa dalam menghitung berapa kali mereka telah melakukan gerakan-gerakan tersebut bahkan tidak tahu berapa detak jantung yang mereka dapatkan selama latihan kebugaran. Dengan hal inilah dibangun sistem monitoring untuk melacak pergerakan tubuh beserta kondisi kesehatan jantung dalam latihan kebugaran jasmani yang menggunakan basis IoT atau kepanjangan dari Internet of Things. Sistem ini menggunakan aplikasi android dengan dihubungkan pada perangkat IoT yang lalu dihubungkan melalui sebuah modul wifi yaitu ESP8266 untuk mengirimkan data ke aplikasi android. Dengan adanya aplikasi monitoring latihan kebugaran berbasis iot diharapkan dapat membantu, memudahkan, memotivasi dalam berolahraga

With the rapid development of the Internet of Things science and technology, people's living standards are gradually improving, and the requirements for the living environment are also getting higher and higher, which makes smart homes gradually enter thousands of households. The purpose of this project is to design a system that integrates hardware and software and can measure and transmit various data. Among them, the hardware part includes data measurement and data display. The data measurement module consists of DHT11 temperature and humidity sensor, DSM501 particle number sensor and MQ3 alcohol concentration sensor. The experimental data will be displayed on the TFTLCD screen. The system software is partly run on the Windows operating system, using the Python language development. This system takes ESP8266 module as the transfer station, realizes the communication between STM32 development board and computer. The experiment shows that the system has the advantages of high measurement data accuracy, fast data refresh speed, complete data transmission, simple design, high reliability, easy installation, economical and practical, and has certain practical value in life, production, industry and other fields. [ABSTRACT FROM AUTHOR]

The Internet of Things has grown rapidly in recent years, and the technologies related to it have been widely used in various fields. The idea of this paper is to build a set of Internet of Things systems in a smart home wireless network environment, with the purpose of providing people with a more comfortable, convenient, and safe life. In the sensing layer of the Internet of Things, we discuss the uses of common sensing technologies on the Internet and combine these with Arduino microprocessors to integrate temperature sensing modules, humidity sensing modules, gas sensing modules, and particulate matter 2.5 (PM2.5) sensing modules. In the network layer, we discuss using the Wi-Fi wireless networking function composed of a home router and a wireless Wi-Fi chip Espressif system 8266 (ESP8266) to transmit the collected home-sensing data to the ThingSpeak cloud database. Finally, in the application layer part, the system uses a mobile device with fuzzy calculation optimization software. The system is also connected remotely for home environment monitoring, so the home environment can be optimized anytime, anywhere. [ABSTRACT FROM AUTHOR]

Nowadays, supermarkets are almost developed with much technological advancement. People purchase different items from the supermarkets and put them into a trolley because it's the simplest method employed in supermarkets to hold goods. However, throughout the entire process of shopping, customer must push the trolley manually by their own effort and when it involves the billing process customers must wait in long queues to pay their bills. this can be a time-wasting process because of the busy schedule of individuals. So, to avoid this our project presents development of the smart shopping trolley (SST) that may be integrated into the smart mall system. The SST can provide customers with the efficient interface so the shopping service are often effectively done. With the utilization of radiofrequency identification (RFID) tags, the SST can automatically detect the assorted products which are being added within the cart and show the related information on the computer program (LCD and webserver). Finally, the automated billing service is done by the SST and therefore the stored shopping data are going to be transmitted to the net or cloud server of mall through ESP8266. So, the proposed SST interacts with the customer and provides efficient shopping service. [ABSTRACT FROM AUTHOR]

Indoor vertical hydroponics is one of the most recent agricultural technologies introduced. It is a method of growing plants in vertically stacked layers using water and nutrient solutions instead of soil. When cultivating such a system, utilizing and maintaining the quality of water and nutrients is critical for plant growth. Additionally, LED growth lights have a significant effect on plants. Despite developments in LED lighting and Internet of Things based smart agriculture systems, there is a lack of information on LED lighting for hydroponically grown crops in vertical culture since vertical agriculture is a relatively new field of study. Thus, this research aimed to develop an Internet of Things based agricultural system to automated control LED-based artificial lighting on crop cultivation and explore the effects of different LED lights on plant growth. Numerous sensors were installed and monitored to measure the Potential of Hydrogen ion, Electrical Conductivity, and other parameters in the Internet of Things based system. The Blynk application can remotely control the LEDs and monitor the entire sensor and actuator. As for the effects of LED light, particularly the red and blue light, we utilize a case study of three LED grow light models from the manufacturer as light treatments for cultivating green leaf lettuce (Lactuca sativa). The result showed that increased red light (RED/BLUE = 2:1) increased plant height, leaf width, and leaf length on both harvesting days (10 and 20 day after transplanting). The lettuce plant shape and size signify that the lettuces in each tier are of a good standard and comparable in size. [ABSTRACT FROM AUTHOR]

Nowadays, more and more IoT applications have been integrated into manufacturing activities. Therefore, this project develops a monitoring system for mechanical boiler camber using the internet of things (IoT) application in real-time monitoring. This real-time monitoring is connected between temperature, vibration, and motion sensors with Node MCU ESP8266 to establish the IoT network. An advantage of Node MCU ESP8266 where it can communicate to the smartphone at the same Wi-Fi. The sensors response will be displayed on the Blynk IoT platform. During actual monitoring, the Blynk IoT is used to show the real-time data flow for the temperature, vibration, and motion actions before the power is disconnected if the boiler operates more than the allowable limit. All results obtained in real-time can be accessed using a smartphone. At the end of the sensors, the smartphone can see the output for immediate action when necessary. [ABSTRACT FROM AUTHOR]

The use of the internet of things (IoT) in solar photovoltaic (PV) systems is a critical feature for remote monitoring, supervising, and performance evaluation. Furthermore, it improves the long-term viability, consistency, efficiency, and system maintenance of energy production. However, previous researchers' proposed PV monitoring systems are relatively complex and expensive. Furthermore, the existing systems do not have any backup data, which means that the acquired data could be lost if the network connection fails. This paper presents a simple and low-cost IoT-based PV parameter monitoring system, with additional backup data stored on a microSD card. A NodeMCU ESP8266 development board is chosen as the main controller because it is a system-on-chip (SOC) microcontroller with integrated Wi-Fi and low-power support, all in one chip to reduce the cost of the proposed system. The solar irradiance, ambient temperature, PV output voltage and PV output current, are measured with photo-diodes, DHT22, impedance dividers and ACS712. While, the PV output power is a product of the PV voltage and PV current. ThingSpeak, an open-source software, is used as a cloud database and data monitoring tool in the form of interactive graphics. The results showed that the system was designed to be highly accurate, reliable, simple to use, and low-cost. [ABSTRACT FROM AUTHOR]

Air pollution has emerged as a major concern of the current century. In recent times, fellow researchers have conducted numerous researches in the area of air quality monitoring. Still, air quality monitoring remains an open research area due to various challenges such as sophisticated topology design, privacy and security, power backup, large memory requirements and deployment of such systems at resource-constrained sites. The proposed research work is an attempt to address the issues of communication topology design, assessment of the Quality of Service (QoS) levels against accuracy, sensing throughput and power consumption optimization. In the undertaken work, the proposed IoT based Air Quality Monitoring system has been deployed at indoor and outdoor sites to measure air quality parameters such as PM10, PM2.5, carbon monoxide, temperature and humidity. The proposed system is also tested at variety of quality of service levels at the indoor and outdoor sites. The conducted experiments have also recorded accuracy in terms of reliable delivery of the messages under employed protocol.

Perkembangan yang signifikan dari pemanfaatan Pembangkit Listrik Tenaga Surya (PLTS) sebagai sumber energi alternatif pengganti sumber energi fosil telah membuat pentingnya ada model rancangan sistem deteksi dan monitoring yang baik guna menghindari terjadinya kerusakan pada PLTS tersebut. Beragam teknik deteksi dan monitoring telah dikembangkan dalam berbagai literatur. Artikel ini mereview dan menganalisis berbagai kerusakaan yang mungkin terjadi pada PLTS dan berbagai teknologi deteksi yang dapat diterapkan untuk menghindari kemungkinan terjadi kerusakan serius pada PLTS.

The paper discusses an implementation of an internet-connected monitoring system to optimize waste collection within office space environment. The implementation consists of four parts – the physical dustbin module, network, middleware and user interface. The implementation uses NodeMCU board with embedded microcontroller to sense and transmit waste level data to a middleware over 802.11 wireless network, while the middleware aggregate data from all registered dustbins within the office area. The aggregated data is then stored in a database server for further analysis. The web-based user interface is used to monitor the dustbins waste level as well as historical data report. This information is vital for waste level management planning and prediction. Additionally, a Technology Acceptance Model survey result has shown that the monitoring system is perceived to be easy to use and useful for office management in monitoring and managing their waste.

Copyright of Revista de Tecnologia Aplicada is the property of Faculdade Campo Limpo Paulista and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The Internet of things (IoT) is the next technological revolution that includes many industries and applications. IoT can offer solutions for many problems. However, it requires many skills from different disciplines that current electrical and computer engineers lack. In order to encourage the seamless internalization of the IoT and the technologies it supports, a new method should be considered in training electrical and computer engineers. The new methods should focus on applications and projects that involve the use of components such as hardware, software, and cloud platforms that are available in the market rather than class oriented theories. In this study, we introduce a methodology for teaching an IoT systems course that will encourage students to study how to develop and accomplish IoT applications in real time, at a reasonable cost, and for general use rather than meeting the detailed needs of one merchant. We exploit universally available open source software and cloud platforms to enhance teaching IoT course. The proposed course is taught at the undergraduate level in the computer engineering departments of Kocaeli and Sakarya Universities in Turkey. The results show that the designed method can have a constructive influence on the progress of computer engineering education by timely and positive assistance in educating the new IoT engineers. [ABSTRACT FROM AUTHOR]

Smart farming system is an emerging sector using IoT sensors provide information about farming areas and then respond based on the user input. We proposed in this paper to create an advanced agriculture system, which takes the advantages of state-of-the-art technology like Adafruit broker, IoT, and the Wireless Sensor Network. The paper focuses on making use of extensive technological i.e., IoT and smart farming system. Monitoring environmental conditions are the major factor to improve the production of efficient crops. IoT devices and communication methods related to wireless sensors encountered in farming applications are studied in detail. The system proposed in this paper uses ESP8266 NodeMCU, DHT11 Temperature, and Humidity Sensor, Soil Moisture Sensor, PIR sensors, mq135 air quality sensor, Jumper wires, LEDs bulb, exhaust fan, cooling fan, and live data feed can be monitored on serial monitor and Adafruit MQTT protocol platforms. This will allow the farmer to manage their crop easily and efficiently.. [ABSTRACT FROM AUTHOR]

Introduction: Solar energy technology, a natural and free energy source, is implemented in places with limited access to traditional electric power, in some cases in the agricultural field or small rural human settlements. Currently, commercial systems include a charge control unit with a small display, to show the voltage generated, but unfortunately, the operator must go to the controller to check its performance, so it is necessary to have a tool that allows knowing the energy conversion in real-time remotely. This can be achieved by making use of the Internet of Things (IoT) technology. Currently, there are several IoT platforms; some are free, others are demo or paid versions. Method: In this work, a prototype was developed with a system for monitoring the voltage and light intensity of a small solar cell and a TSL2561 digital sensor. The Arduino programming environment coupled to a myDevices Cayenne (IoT) platform was used to transmit and access the data remotely. Results: With the integration of the components, the myDevices Cayenne platform was able to monitor in real-time the voltage of the solar cell and the luminous intensity of the environment visually and intuitively, from any computer or cell phone with internet access. Discussion or Conclusion: The myDevices Cayenne IoT platform has become an attractive, accessible, robust, and easy-to-use option for the development of innovative IoT projects applied to different sectors of economic importance. [ABSTRACT FROM AUTHOR]

Home automation refers to the converting of all the electrical and electronic devices into an automatically operating system to the user-defined conditions and includes the reduction of human efforts. This system includes the established communication between the cloud and the physical devices. This system has a low-cost microcontroller that enables cloud communication. We provide the optimized system with the ESP 8266 Wi-Fi controller integrated Arduino and the input sensors to provide the required input to the controller. Generally, establishment facility of cloud will produce high cost but we provide with the lowcost cloud accessing and low power consumption with ESP 8266. [ABSTRACT FROM AUTHOR]

The paper discusses an implementation of an internet-connected monitoring system to optimize waste collection within office space environment. The implementation consists of four parts – the physical dustbin module, network, middleware and user interface. The implementation uses NodeMCU board with embedded microcontroller to sense and transmit waste level data to a middleware over 802.11 wireless network, while the middleware aggregate data from all registered dustbins within the office area. The aggregated data is then stored in a database server for further analysis. The web-based user interface is used to monitor the dustbins waste level as well as historical data report. This information is vital for waste level management planning and prediction. Additionally, a Technology Acceptance Model survey result has shown that the monitoring system is perceived to be easy to use and useful for office management in monitoring and managing their waste.

Animal behavioral paradigms, such as classical conditioning and operant conditioning, are an important tool to study the neural basis of cognition and behavior. These paradigms involve manipulating sensory stimuli in a way that learning processes are induced under controlled experimental conditions. However, the majority of the commercially available equipment did not offer flexibility to manipulate stimuli. Therefore, the development of most versatile devices would allow the study of more complex cognitive functions. The purpose of this work is to present a low-cost, customized and wireless-operated chamber for animal behavior conditioning, based on the joint operation of two microcontroller modules: Arduino Due and ESP8266-12E. Our results showed that the auditory stimulation system allows setting the carrier frequency in the range of 1 Hz up to more than 100 kHz and the sound stimulus can be modulated in amplitude, also over a wide range of frequencies. Likewise, foot-shock could be precisely manipulated regarding its amplitude (from ∼200 μA to ∼1500 μA) and frequency (up to 20 pulses per second). Finally, adult rats exposed to a protocol of cued fear conditioning in our device showed consistent behavioral response and electrophysiological evoked responses in the midbrain auditory pathway. Furthermore, the device developed in the current study represents an open source alternative to develop customized protocols to study fear memory under conditions of varied sensory stimuli.

Indoor air pollution in developing countries has a direct impact on the mortality rate. Washrooms and kitchens are the common sources of indoor air pollution. In recent years, Scientists and public have shown more concern towards indoor air quality as most people spend more than 70-90% of their time indoors. Shower head and faucets can accumulate bacteria due to the moist environment in washrooms. The swift in the deterioration in quality of atmospheric conditions is very high due to unclean emissions from automobiles and industries. These changes could be the causes of life threatening diseases. An air quality monitoring system that relies on IoT and cloud computing is presented in the proposed work. The device is designed to sense CO, CO, H, NH, LPG, Toluene, Temperature and Humidity. The system sense the presence of these air 2 2 3 pollutants and send them to cloud analysis. It also includes the development of a mobile application to monitor and alert whenever the pollutant concentration exceeds the threshold value. [ABSTRACT FROM AUTHOR]

Nowadays, smart farming involves the integration of advanced technologies that incorporate low-cost robots to meet the required knowledge and maintain the health of plants in farming. Technologies like precision agriculture are also used to optimize resources based on the field condition. Internet of Green Things is also one of the technologies to integrate and share the information between people and healthy farm things. Internet of Green Things gives the information like soil moisture, temperature, humidity, and nutrient level by means of respective sensors. Monitoring and information gathering in green houses with the help of robots is a tedious and expensive process. In this connection, information is shared among low-cost robots encouraging data availability of the current state of a plant with other robots. This will emphasize the monitoring of green houses in a well-organized way. In this article, a Flask-based framework through Raspberry Pi is proposed for interoperability among the low-cost ESP8266 robots. Data gathering is performed by smart robots that are accessible through Message Queuing Telemetry Transport subscribes by means of Representational State Transfer Application Programming Interface. A cloud-like database server is provided to stock up the data. The integration of robotics with Internet of Green Things gains more advantage in gathering about spatial information data that are connected with the irrigation. Visualization techniques and perspectives based on Internet of Green Things for precision agriculture in the field of farming are highlighted. [ABSTRACT FROM AUTHOR]

Currently, two-wheelers are the most popular mode of transportation, driven by the majority the people. Research by the World Health Organization (WHO) identifies that most two-wheeler deaths are caused due to not wearing a helmet. However, the advancement in sensors and wireless communication technology empowers one to monitor physical things such as helmets through wireless technology. Motivated by these aspects, this article proposes a wireless personal network and an Internet of Things assisted system for automating the ignition of two-wheelers with authorization and authentication through the helmet. The authentication and authorization are realized with the assistance of a helmet node and a two-wheeler node based on 2.4 GHz RF communication. The helmet node is embedded with three flex sensors utilized to experiment with different age groups and under different temperature conditions. The statistical data collected during the experiment are utilized to identify the appropriate threshold value through a t-test hypothesis for igniting the two-wheelers. The threshold value obtained after the t-test is logged in the helmet node for initiating the communication with the two-wheeler node. The pairing of the helmet node along with the RFID key is achieved through 2.4 GHZ RF communication. During real-time implementation, the helmet node updates the status to the server and LABVIEW data logger, after wearing the helmet. Along with the customization of hardware, a LABVIEW data logger is designed to visualize the data on the server side.

Lack of commonly accepted standards for the connected devices' APls caused the situation when each manufacturer creates its own mobile application to control their devices. We propose an approach to the design of a self-descriptive CoAP­based API using Hydra Core Vocabulary (bttp://hydra-cg.com) which allows to ereate an adsptive mobile application to control any device. In this paper we describe the approach, evaluate it on two exemplified devices build using ESP8266 Wi-Fi module and describe the architecture of a mobile application controlling these devices.

This article presents the design of several sensors used in a kitchen environment, using a MCU ESP8266 node microcontroller as a base, which communicates with the ThingSpeak server. Firstly, each sensor was tested to analyze its functioning, then PCBs were designed using PROTEUS; afterwards, electronic circuit was designed and mounted and finally, communication with the server was implemented via Wi-Fi. This allowed to determine different states of the sensor by 10 seconds intervals and to analyze the kitchen scene setting. It is concluded that the system is 100,0% efficient when magnetic door, current and water flow sensors are used; and displays an 86,2% efficiency with the movement sensor and the analysis via acquired graphics in the ThingSpeak server showed optimal results because the amount and time interval of data acquisition and date of sensors state change, were established accordingly. [ABSTRACT FROM AUTHOR]

Humans have always been at the top of the animal kingdom. It's a privilege we are all grateful for, but wouldn't it be marvelous if we could substitute our chores for some leisure time? We can start by deploying small functional autonomous cars. Autonomous cars are the elementary steps of progress towards advancement in IoT and Artificial Intelligence. In this paper, we present the idea of a low-cost autonomous vehicle, which will be controlled by voice commands, given by the user. The user may be located at some remote location, but as long as he/she is connected to the Internet, the vehicle will follow voice instructions. The idea is implemented through NodeMCU ESP866, Adafruit, and IFTTT. The instructions are fed to the vehicle through Google Assistant. [ABSTRACT FROM AUTHOR]

With the development of Internet of Things (IoT), more and more systems based on embedded devices emerged, especially in indoor environment. However, control and management of these devices are not convenient. In this paper a universal multi-layer intelligent service platform, which provides efficient operations and various value-added services, is proposed for indoor IoT systems. The platform has a flexible framework which consists at most four layers: terminal, gateway, local server and cloud server layers. Several combinations among these layers are designed for different situations. Also the platform provides features of lightweight, intelligent, personalized and secure. The following issues of proposed platform are discussed in details: (1) different layers and their combinations; (2) ESP8266 based lightweight terminals and gateway constitution; (3) general components of a server, deployment of multiple servers and procedures of intelligent services; (4) multiple human-computer interaction interfaces including web/mobile APP, intelligent speaker and unified remote control; (5) communication protocols between different entities and an example; (6) possible intelligent services and an example. [ABSTRACT FROM AUTHOR]

The proposed system mainly involves the preparation of IoT based sensor control in order to maintain the industrial safety whenever there is a fluctuation in the heat, water and radiation etc. By doing so using that technology along with the interface ESP8266 which manipulates all the values in cut off and if there is any increase of value it is indicated in the display and also the alert is given to them. Thus the module is being designed in such a way that it has all types of sensors like gas sensors, proximity sensor and heatsensor incorporated into them in proper way to support the safety. The WiFi module is connected with the system so as to achieve the guidelines to manage the sensitive alert to the end user to maintain the results at valid condition. The results and every guidelines show that test cases observed to be good in calculating the risk and alert the end user to get rid of industrial accidents. [ABSTRACT FROM AUTHOR]

Heart attack is one of the main causes of death nowadays especially for elderly people since it can strike anytime and anywhere. This project aims to build a smart assistant system that can predict the possibility of heart attack occurrence depending on the heartbeat rate before it happens for an elderly person wherever he/she is, and send a message to an elderly's relative or a specialist informing him/her that the elderly might have a possible heart attack along with the geometric location in order to try to save the elderly's life on time. In our system, a pulse sensor was attached to an Arduino microcontroller with ESP8266 NodeMCU as a Wi-Fi module to measure the heartbeat rate (BPM), if the heartbeat is either too low or too high, a message will be sent to a specified mobile, warning its owner of a possible heart attack. When the message arrives to the specified mobile, the owner will open an Android application named EPLSA. Through this application, he/she can send a request to the microcontroller asking for the geometric location. The microcontroller replies with the values of the latitude and longitude of the elderly's location which can be viewed on Google maps too. [ABSTRACT FROM AUTHOR]

Internet of Things (IoT) allow connection among devices using internet with the ability to gather and exchange data. These devices are usually attached with micro-controllers like Arduino, sensors, actuators and internet connectivity. In this context, Message Queuing Telemetry Transport protocol (MQTT) plays an important role to exchange the data or information between the devices in IoT without knowing the identities of each other. This paper presents different service models for communication in Internet of Things(IoT). Model A presents use of serial USB as transmission medium while Model B uses the Message Queuing Telemetry Transport protocol (MQTT) which deploy a Wi-Fi module (ESP8266-12) to connect the system to internet. For communication, concept of publisher and subscriber is used. Messages are published or subscribed with the help of a broker or server. This agent is in charge of dispersing messages to intent clients depending on the choice of the topic of a message. Broker in MQTT is also called server. Some brokers used in MQTT are: -Mosquitto, Adafruit, hiveMQ. [ABSTRACT FROM AUTHOR]

Even novice engineers and non-technical students can design and build an Internet of Things (IoT) prototype in four days. We present a setup for rapid IoT prototyping in a classroom, identify necessary skills and combine these to a workshop that allows students to turn their ideas into prototypes. Our approach enables fast prototyping cycle, using a common and wellestablished development board and a computer. Arduino Uno is used for device prototyping and a Python program running on the same computer handles the needed Internet communications. A web server handles device and web client connectivity, logging and data monitoring. The method makes it possible to learn the needed basic skills in manageable steps, allowing students to focus on the actual prototype instead of struggling with the wireless and Internet communication problems. After the prototyping phase, the device can be ported to inexpensive and small ESP8266 based microcontroller. Compared to developing IoT prototypes directly with ESP8266, the setup presented is considerably faster. The whole process is based on free software tools which provides a possibility to utilize prototypes commercially, without a risk of a third party changing or discontinuing services. We arranged an experimental four-day workshop for university students (n = 19) from diverse backgrounds and varying levels of technical skills. All teams successfully built a working prototype based on their own ideas. Student self-assessment of programming skills was noticeably improved during the course. We later repeated the experiment with another group (n = 27) in a university of applied sciences, getting similar results. Our results indicate that this method is effective for learning IoT prototyping skills in a short time. [ABSTRACT FROM AUTHOR]