Application Internet of Things in Controlling Fan Based Telegram

Since the Internet of Things (IoT) will be entwined with everything we use in our daily life, the consequence of security flaws escalates. Smart objects will govern most of the home appliances and car engines yielding potential disaster scenarios. In this context, successful attacks could lead to chaos and scary scenarios (www.darkreading.com). Unprotected personal information may expose sensitive and embarrassing data to the public and attacks may threaten not only our computers and smart devices, but our intimacy and perhaps our lives too. Because persons and objects will be bonded with each other, user consent becomes critical. Therefore, thing, object, and user Identity will be the focus of future IoT security solutions, yielding a Trust, Security, and Privacy (TSP) paradigm, which may constitute the Achilles' heel of IoT. While security issues are quite straightforward, mainly from background knowledge, privacy issues are far more complex. Privacy constitutes a rather challenging task, even for the m...

The concept of the Internet of Industrial Things (IIoT), which emerged when the Internet of Things (IoT) applications started to be used in the industry, has provided the efficiency, flexibility, traceability and security to the end users in their workspaces. Indoor monitoring and control systems, which are the leading applications of the Internet of industrial things, play a major role in providing these elements. Over the years, these systems have evolved from wired alarm systems to data loggers, wireless sensor networks, and then to with cloud computing based smart gateways. In the face of this evolution of systems, the expectations of end users such as being able to control at tens of thousands of points, high quality of service or achieving commercial targets have increased at the same rate. In order to meet all these expectations, a modular and compact platform based on Fog Computing and single board computer, which provides optimum performance and cost, has been designed and developed in this study. When the results obtained from the test processes implemented under real scenarios are examined, it is seen that the hardware used and the software infrastructure, all open source, are sufficient and usable for indoor monitoring and control applications.

IoT (Internet of Things) enables the devices to be smartly connected with each other to share the data and collect it for future analysis. With the expansion of time, the applications of IoT are increasing in every sector of society like homes, devices, vehicles, health sector, and many more. The wireless communication inIoT makes use of different wireless communication protocol, one such protocol is NFC. The card emulation technique in NFC is widely used in payment sector and research is in progress to enhance its application area. Smart cards in IoT are used to store the keys and user identification information to provide an easy way to authenticate users and provide them the service. In this paper, we will represent a communication protocol between an IoT device and the user smart phone using card emulation technique that can be used in many sectors of IoT. The protocol will eliminate the use of smart cards in IoT by providing users with virtual cards that can be stored and accessed with smart phone. The protocol provides an authorization facility of user, and controls the access of illegitimate user.

Internet of Things (IoT) applications can offer a great potential of benefits to end users. We are moving towards an Internet of People, Things and Services (IoPTS) and a future world of ambient intelligence, where users can seamlessly interact with IoT devices and get information about the services they offer. Interaction can take place directly or through dedicated mobile apps that are built to acquire data from sensors or clusters of IoT devices. The article presents a user-centric cluster framework, taking into account the resource-constrained nature of the IoT devices. As part of the framework, the authors propose a Mobility Aware Clustering Scheme (MACS), which organizes the IoT devices in clusters using a fitness function for each node, and a Profile Aware Proactive Cluster Discovery (PAPCD) mechanism using Bluetooth Low Energy (BLE) beacons for service advertisement. The authors also propose an IoT service filtering and ranking algorithm to match the users' preferences and requirements

The novel paradigm of Internet of Things (IoT) is gaining recognition in the numerous scenarios promoting the pervasive presence of smart things around us through its application in various areas of society, which includes transportation, healthcare, industries, and agriculture. One more such application is in the smart office to monitor the health of devices via machine learning (ML) that makes the equipment more efficient by allowing real-time monitoring of their health. It guarantees indoor comfort as per the user's satisfaction as it emphasizes on fault prediction in real-life devices. Early identification of various types of faults in IoT devices is the key requirement in smart offices. IoT devices are becoming ubiquitous and provide an assistant to supervise an office that is regulated by ML and data received from sensors is stored in cloud. A recommender system facilitates the selection of an appropriate solution for faults in IoT-enabled devices to mitigate faults. The architecture proposed in this paper is used to monitor each and every office appliance connected via IoT technology using ML technique, and recommender system is used to recommend solutions for fault patterns without much human intervention. The ultrasonic motion sensor is used to fetch the information of employee availability in cubicles and data is sent to the cloud through the WiFi module. ATmega8 is used to control electrical appliances in the office environment. The significance of this work is to forecast the faults in IoT appliances which will have an impact on life and reliability of IoT appliances. The main objective is to design a prototype of a smart office using IoT that can control and automate workplace devices and forecast whether the device needs repairing or replacing, thus reducing the overall burden on the employee and helping out in increasing physical as well as mental health of the person.

I. ABSTRACT In Internet of Things (IoT), selling smart physical objects together with a compatible mobile app becomes an upcoming trend. The app allows to control or monitor the physical object and its sensors in an easy, ubiquitous, and user friendly way. In this post, we present a novel recommender system which uses publicly available data about these apps as a source for personalization. The proposed system infers user’s physical objects from exploring the installed apps on her mobile devices like smartphones and tablets and builds a digital inventory of physical objects of each user. Then, these inventories can be used to create personalized recommendations. A. Background Smartphones have become our daily companions and support us in almost any situation of our daily life. We use them for communication, gaming, news reading, watching movies, payment, mobile banking and many others. The way we use smartphones is correlated with individuals’ needs, interests, habits, and personality [1]. Custom-tailored content like recommendations, advertisement, personalized prices and search results can be presented to consumers, based on observed activities on their devices [2]. From the perspective of IoT, smartphones are becoming increasingly important because they are used as hubs between the physical objects and Internet. For instance, smartphones provide dashboards to manage our smart home appliance (like heating system, light-bulb, key, TV) as well as retrieving and presenting data from our smart gadgets (like pedometers, body sensors). Since there is no method to automatically get a list of individuals’ physical objects, offering fitting recommendations in IoT is difficult. Recent studies propose to gather data about installed apps on smartphones as a way to get valuable user information and to derive user profiles [3]. We believe that the installed apps are also a door opener for gathering information about the connected physical objects and we are able to automatically

Nowadays, everything is made simpler with information and communication technological advancements. It is preferable to track and monitor using devices rather than perform it manually. This resulted in the rapid growth of Internet of Things (IoT) technology and relevant markets. Low cost IoT products has made access to IoT much easier and desirable. These low cost IoT devices and related technologies are widely used in areas such as educational, transportation, tracking, inventory management and many more. The use of Arduino and RFID in the inventory management system lacks in some areas including hardware limitations. In conjunction to the limitation of using an Arduino and RFID technology, this project aims to develop an IoT based inventory management system that incorporates the uses of a NodeMCU and a load cell. In comparison of the NodeMCU to an Arduino, the NodeMCU stands out with the built in Wi-Fi module with much higher processor and additional properties of it being much smaller. While the use of a load cell is much more convenient as to suit all kinds of inventory management needs compared to the use of RFID that suits better to larger scale businesses with larger inventory and massive stocks. Towards the end, this project is expected to ease inventory management by the implementation of IoT with IoT Based Inventory Management System using Load Cell and NodeMCU. The project will generate the inventory count and automatically stores data in the cloud platform. These data can be accessed with internet connection. The project also alerts users when the inventory is low or high in balance. The output of the project is that the project’s working prototype was successfully developed. Overall, the project is a success as all the objectives of the project was successfully achieved.

Smart city can be taken as the biggest implementation of Internet of things (IoT) applications. Smart city technologies promote cloud-based and IoT-based services in which real-world user interfaces use smart phones, sensors, RFIDs, etc. The IoT ecosystems cannot properly communicate between them. So it needs a bridge between them to fill the global common approach. Implementation of this can be done with the help of information and communication technologies (ICT) which may result in enhancing quality, interconnection, and the performance of various urban services. It highlights the need for cloud computing and IoT technologies and both have a major impact on how we build and deploy smart applications for it. There are still numerous difficulties that remain with regard to its deployment due to its varying requirements. In this paper, authors tried to converge the two domains that are cloud computing and IoT for smart city application deployment and also present the identified security threat types and their countermeasures in the context of smart city.

Internet of Things (IoT) is an emerging concept, which aims to connect billions of devices with each other. The IoT devices sense, collect, and transmit important information from their surroundings. This exchange of very large amount of information amongst billions of devices creates a massive energy need. Green IoT envisions the concept of reducing the energy consumption of IoT devices and making the environment safe. Inspired by achieving a sustainable environment for IoT, we first give the overview of green IoT and the challenges that are faced due to excessive usage of energy hungry IoT devices. We then discuss and evaluate the strategies that can be used to minimize the energy consumption in IoT, such as designing energy efficient datacenters, energy efficient transmission of data from sensors, and design of energy efficient policies. Moreover, we critically analyze the green IoT strategies and propose five principles that can be adopted to achieve green IoT. Finally, we consider a case study of very important aspect of IoT, i.e., smart phones and we provide an easy and concise view for improving the current practices to make the IoT greener for the world in 2020 and beyond.

This paper discusses the new auspicious trends of internet of things (IoT) and its advanced developments in various sectors of today’s IT arena, including for industrial sectors. Each object acts as a communication node (or entity) that is able to communicate with other nodes, and corresponding information could be accessed and controlled, via several of today’s commonly used electronic devices such as laptops and cellular devices, etc., through an IoT-designed platform. Moreover, in industrial automation sectors, the employment of IoT is very advantageous, in terms of remote communication support; low-cost operations and maintenance; and autonomous collaborations among remote networked field devices, etc. The facility of autonomous collaborations provisioned by IoT, in the context of a supervisory control and data acquisition (SCADA) system as part of an industrial control system, somehow exists in a distributed network protocol (DNP3) during automation and controls. Therefore, the current study takes the step to model a new IoT framework for a SCADA system, which will be efficient at facilitating industrial automation through the collaborative DNP3-Modbus acquisitions and automation, called the SCADA-IoT system. An IoT gateway is employed and configured that supports for both SCADA protocols, such as DNP3 and Modbus and is efficient at communicating, from networked field devices, with inter-processing from both. In the overall SCADA-IoT design, the transmission is carried from an enormous amount of sensors and/or field devices, employing proprietary and nonproprietary protocols; further, sent information is analyzed via big data, stored in a cloud center, monitored and controlled over a SCADA-IoT supportive platform. At the same time, information security (IS) is a big associated challenge and one of the main contributions of this study. Thus, this study also analyzed the potential security mechanisms for securing SCADA-IoT and found cryptography to be a noteworthy security solution, based on the proposed system requirements and its communication demands.

Nowadays, the variation of the diseases revolution had become a major thread to the human kind population. The repercussion of this uncontrolled situation had led to the increasing trend regarding to the number of the patient those visited the hospital in order to obtain a treatment from the professional in the medical sector. As the number of the patient is keep increasing by the day, the number of hospital staff still not able to meet the requirement in providing the optimum service to all of their patients. The development of this project is to reduce the burden bear by the hospital staff especially the doctor by the implementation of the IOT technology. The purpose of this study is to develop a system based on the ESP8266 microcontroller that internally installed a WIFI shield provide internet connectivity easily for the user to measure the heart rate and the body temperature. By the help of Arduino environment platform, the IOT based project can be developed. This project will focus in capturing and measure the two parameters from the human body which are the heart rate and the body temperature. The sensor used are heart rate sensor, MAX30100 and the body temperature sensor, MLX90614. As the results, this system will process the raw data from the two sensors into a desire value and display the data on the OLED display and the application display. The implementation of IOT technology to this system will provide a continuous data streaming through thinger.io website and showing a live development of patients for the user who is has the permission access by only using their own smart devices. Based on the finding, its shows that the comparison percentage deviation between heartbeat sensor and blood pressure monitor is 3.37% and the comparison percentage deviation between body temperature sensor and digital thermometer is 0.54%. The Graphical User Interface through Internet of Things (IOT) application system is proven to monitor accurately for heartbeat sensor measurement and body temperature sensor measurement.

This review paper explores the pivotal role of telecommunications in enabling Internet of Things (IoT) connectivity and applications, providing a comprehensive overview of the current landscape and future prospects. The primary objective is to synthesize existing research and industry insights to highlight how advancements in telecommunications infrastructure and technology have catalyzed the adoption and expansion of IoT. The review systematically examines the evolution of telecommunications technologies, including 4G, 5G, and emerging network protocols such as Narrowband IoT (NB-IoT) and Long-Term Evolution for Machines (LTE-M). It assesses how these technologies enhance IoT connectivity by providing the necessary bandwidth, low latency, and reliability for real-time data exchange and device interoperability. Key findings from the literature reveal that the deployment of 5G networks has been a game-changer for IoT, offering unprecedented speeds and connectivity capabilities that support a wide range of applications in smart cities, healthcare, agriculture, and industrial automation. Additionally, the paper discusses the role of telecommunications in addressing challenges related to security, scalability, and energy efficiency in IoT deployments. The review concludes that telecommunications are integral to the growth and sustainability of IoT ecosystems. As telecommunications technology continues to advance, its ability to support increasingly complex and ubiquitous IoT applications will drive innovation and enhance efficiency across various sectors. The paper emphasizes the necessity for ongoing investment in telecommunications infrastructure and research to fully exploit the transformative potential of IoT connectivity and applications.

The Internet of Things (IoT) is defined by the interconnection between networks of smart devices (objects) through specific communication standards and protocols. Data retrieved from these objects is loaded on cloud servers where it is analyzed, processed and then accessed by users through simple, intuitive, easy-to-use interfaces. The rapid development of IoT applications will steadily increase the demand for skilled personnel in this field. Under these circumstances, the study of IoT basic notions in classrooms becomes a necessity. Using the Arduino and Raspberry Pi development platforms, a wide range of IoT projects can be developed, according to the students' level. These platforms capture environmental data through an extended array of sensors (temperature, light, pressure, humidity, force, acceleration, rotation, sound, IR, magnetic field, etc.), making it perfectly suited to projects development in the educational STEM field (Science, Technology, Engineering and Matemathics). In this study my aim is to show, based on examples, how several IoT projects can be developed in class using the two above mentioned platforms and I emphasize the didactical aspects associated with this study. For the first project I used the Arduino Uno development board, the DHT11 temperature and humidity sensor, and ESP8266 WiFi module, and showed how the ambient temperature and humidity can be monitored via Internet. The data collected by the sensor was processed by Arduino, sent to the WiFi module and further on a cloud server on the IoT ThingSpeak platform where it was stored, analyzed and graphically represented in real time. In the second project I used a Raspberry Pi development board, a mobile robotic platform powered by two electric motors and equipped with a webcam in order to video monitor, via the Internet, a particular perimeter under observation. The robotic platform on which the surveillance camera is located can be positional controlled using a web browser that can access an HTML page built for this purpose. The final part of this study is dedicated to the assessment of the quality of STEM training results by classes of students who have worked on IoT projects compared with classes that have undergone traditional training courses.

Water quality monitoring (WQM) system is widely being explored as it is needed to prevent the problem of water contamination worldwide. Nowadays, there are various studies on WQM system that are being integrated with Internet of Things (IoT) concept for Wireless Sensor Network (WSN) technology implementation to get real time data measurement. Traditional ways of collecting the data are more time consuming and they lack real time changes in the quality of water. This paper presents the development and implementation of Water Quality Assessment and Monitoring (WQAM) system. The system development used WiFi enabled microcontroller to connect with the IoT environment and store the data in the IoT cloud server. The microcontroller used is Arduino UNO that interacts with three types of sensor probes which are pH, turbidity and temperature probe. All the data measurements is transferred using a WiFi module which is ESP8266. The IoT cloud used to utilize the data frame is ThingSpeak. This system was implemented on Bandar Perda Lake and Derhaka River in Pulau Pinang with two systems implemented at each location. The sensors were placed on the water surface for more accurate measurements. This system continuously measures the readings of pH, turbidity dan temperature on the lake/river for every 1 hour. Twenty readings were taken for every 1 hour within the first 20 minutes with 1 minute interval and the readings were stored in the IoT cloud server. The readings are accessible via ThingSpeak GUI. In conclusion, this system would benefit the authorities to take advantage of using the WQAM system with the aid of the IoT that is less time consuming, less cost and more reliable in real time data reading.

Some years ago we used to talk about a very far future, a dream in where people can access to services and information into small devices; in which we can accesses to information, make calls, watch videos and surf maps. That far future is not so far, actually the advance of technology involves a more powerful hardware which is day to day is becoming into small devices with big resources [14]. The upcoming development of electronic allows that these devices could be integrated into smart networks [8]; these networks are called Wireless Sensor Networks (WSN; [13]). WSN do not need physical connections, they use communication systems such as ZigBEE, WiFi, Bluetooth, GSM [7]. Each individual device called moth have autonomous characteristics of communications, storage of data, automatic organization and recovery of the network communication among others that allow the network performs an autonomous work, with the possibility of Internet connection. These characteristic let emerge the so called Internet of Things (IoT), phrase that was coined in the early 1990's, where everyday objects have network connectivity, allowing them to send and receive data [1]. Since these days, technology has an exponential advance and now it is possible to find devices that permit earth observations in real time [11,15,4]. All this collected information use cloud and no-cloud storage [3]. These systems allow to store big amounts of data [6], that is collected from devices integrated in the concept of IoT [5] (especially incomes from smartphones, GPS's devices and various earth observation sensors). The analysis of this big data (some of them spatial information) will be helpful in treatment and finding related solutions in specific areas such as public administration, environment, urban services, etc. [12]. Also, the data that at the beginning was depicted like sparse information, it begins to converge into a shape. This shape can be seen like maps that could be paper maps or digital ones- The representation of the information into maps is linked to a wide range of disciplines and the concept is not new but the enhancement that it has reached until now is incredible, especially the digital information given in Internet which could be accessed by electronic devices (smart phones, tablets and computers). E-government services would improve efficiency and consequently citizen's satisfaction due to the implementation of Spatial Data Infrastructure (SDI, [9]). In order to good development of SDI, the Open Geospatial Consortium (OCG) has an important role. OGC is an international industry consortium of companies, government agencies and universities participating in a consensus process to develop publicly available interface standards [10]. One of the most popular OGC standards is the Web Map Service (WMS) that allows to show spatial information, considered fundamental for the development of many of the services in the way that a citizen can access to e-government services (e.g., cadastre, [2]) and e-democracy. In this talk, the objective is to introduce some concepts considered essential in the development of the modern society and smart cities. Concepts such as IoT, big data and mapping not only allow the collection or merely visualization of information; these promote the enhancement of access to e-services, also they could be used to face challenges that a good administration of the limited resources implies.