The rapid growth of the Internet of Things (IoT) has led to a situation where individual manufacturers develop their own communication protocols and frameworks that are often incompatible with other systems. Part of this is due to the use of incompatible communication hardware, and part is due to the entrenched proprietary systems. This has created a heterogeneous communication landscape, where it is difficult for devices to coordinate their efforts. To remedy this, a number of IoT Frameworks have been proposed to provide a common interface between IoT devices. There are many approaches to common frameworks, each with their strengths and weaknesses, but there is no clear winner among them. This thesis presents a virtual network testbed for implementing smart home IoT Frameworks. It consists of a simulated home network made up of multiple Virtual Machines (VM), simulated smart home devices and an implementation of the OpenHAB framework to integrate the devices. Simulated devices are designed to be network- accurate representations of actual devices, a LIFX smart lightbulb was developed and an existing Nest thermostat simulation was integrated. The demonstrated setup serves as a proof of concept for the idea of a home network testbed. Such a testbed could allow for the development of new IoT frameworks or the comparison of existing ones, and it could also serve as an education aid to illustrate how smart home IoT devices communicate with one another. / Master of Science / The rapid growth of the Internet of Things (IoT) has led to a situation where individual manufacturers develop their own systems for communicating with devices, which don’t work with other devices. A lot of this is due to devices using different technologies; for example, a Bluetooth device trying to talk to a Wi-Fi device. This has created a situation where it is difficult for different devices to communicate. To remedy this, a number of IoT Frameworks have been proposed to provide a common language between IoT devices. There are many approaches to common frameworks, each with their strengths and weaknesses, but there is no clear winner among them. This thesis presents a simulation environment for smart home IoT Frameworks. It consists of a simulated home network made up of multiple Virtual Machines (VM), simulated smart home devices and an implementation of the OpenHAB framework to integrate the devices. Simulated devices are designed to be accurate representations of actual devices, a LIFX smart lightbulb was developed and an existing Nest thermostat simulation was integrated. The demonstrated setup serves as a proof of concept for the idea of a home network testbed. Such a testbed could allow for the development of new IoT frameworks or the comparison of existing ones, and it could also serve as an education aid to illustrate how smart home IoT devices communicate with one another.

This master´s thesis is dealing with designing wireless management system for existing buildings. In the first part there is description of topologies a communication protocols used for wireless automation. Further there are characterized some devices for lighting, heating, ventilation and cooling regulation. These are used for a model network of a building management, where is system OpenHAB also presented. In the next chapter is aprissed specific edifice and its typical operation where is also designed basic and extended solution for it. This part continues with computation of energy consumption in TRNSYS software, that are used to calculate economic return for both variants.

The master’s thesis deals with the design of the Smart Home System (SHS), which takes advantage of the 'Raspberry Pi' single-board computer. Background research about the theoretical concept of SHS is carried out, which reveals weaknesses in that field. The aim of the thesis is elimination these weak points and takes into account reliability, extensibility and low acquisition price. The practical part is introduced by design of particular modules, which include both hardware design and software. The project is concluded with integration all components into the single functional universal system together with the extensibility presentation.

This dissertation deals with the platform Z-Wave. This platform tries to create an universal system for smart home. The theoretical part of the work describes in details the platform itself as well as the applicable libraries for programming of applications and the available equipments. The practical part presents the new custom gateway. The hardware of this gateway is designed with utilization of the Z-Wave module, Raspberry Pi 3 microcomputer, touchscreen, powerbank and the body of the system. The body has been designed in the Solid Works CAD system and printed on a 3D printer. The needed firmware was loaded into the Z-Wave module ZM5304 and this module has been interconnected with the Raspberry Pi 3 through the printed circuit board of the custom design. The gateway drives OpenZWave network through the new own application written with help of Python wrapper of the library OpenZWave and other open source components. The part of the work is also the list and description of the alternative commercial gateways available on the Czech market.

Internet Of Things (IoT) och hemautomation innebär möjligheten att koppla upp diverse enheter i ett hem gentemot internet, som därefter har som mål att underlätta och göra konsumenters vardag mer bekvämt. Hemautomation kan exempelvis handla om att låsa dörrar och tända lampor från en enda enhet (kontrollern), vilket underlättar då konsumenten inte behöver gå till vardera enhet för att utföra önskade aktiviteter. Kontrollers är den del av ett IoT-system inom hemautomation som agerar gränssnittet mellan konsumenten och enheterna.Open-source erbjuder konsumenter ett mer fritt nyttjande av produkter pga. dess öppna källkod. Många problem och frågor som uppstår i samband med dessa produkter härstammar inom området av säkerhet, samt vad som skiljer produkterna åt avseende säkerhet.Denna studie har samlat ihop sex open-source kontrollers och genomfört en jämförelse för att identifiera vilka kontrollers som uppnår säkerhet avseende konfidentialitet, integritet och tillgänglighet. Detta har utförts genom att identifiera vilka värden som förekommer i tidigare artiklar där säkerheten utvärderas för IoT och hemautomation, och för kontrollers.Studien kopplar ihop identifierade värden med CIA modellen, vilket står för confidentiality, integrity och availability (konfidentialitet, integritet och tillgänglighet). I samband med CIA modellen presenteras ett resultat där studiens aktuella kontrollers visar till vilken nivå de upprätthåller CIA modellen, baserat på det identifierade värden som fastställts. De kontrollers som förekommer i studien är Home Genie, OpenHAB, Home Assistant, Domoticz, Calaos och Pimatic.Studiens resultat erhålls via en litterär undersökning av 25 tidigare studier samt 12st tillkommande tekniska dokumentationer och forum för samtliga tillhörande kontrollers. Samtliga studier har blivit hämtade från databaserna Google Scholar, IEEE Xplore och ACM Digital Library och har därefter blivit analyserade och tematiskt kodade för vidare information. Totalt har studiens material genomgått urval i fem steg för att garantera relevant material som stämmer överens med studiens kriterier och mål för innehåll. Studiens resultat presenterar en ögonblicksbild som ger kunskap om jämförda kontrollers, specifikt i samband med CIA modellen, vilket belyser produkterna i samband för området av säkerhet avseende konfidentialitet, integritet och tillgänglighet. / Internet of Things (IoT) and home automation means the opportunity to connect various devices in a home to the Internet, which has the goal of facilitating and making consumers’ everyday lives more comfortable. For example, home automation could be about locking doors and lighting lamps from a single device (the controller), which may make it easier for the consumer since the consumer does not have to go to each device to perform the desired activity. Controllers are the part of a home automation IoT-system that acts as an interface between the consumer and the devices.Open-source offers consumers a freer use of products, due to its open-source code. Many problems and issues that arise in connection with these products originate in the field of security, as well as what distinguishes the products in terms of security.This study has collected six open-source controllers and conducted a comparison to identify which controllers achieve security regarding confidentiality, integrity and availability. This has been done by identifying the values that appear in previous articles where security is evaluated for IoT and home automation, and controllers.This study links identified values with the CIA model, which stands for confidentiality, integrity, and availability. In accordance with the CIA model, a result is presented where the study’s current controllers show to what level they maintain the CIA model, based on the identifies values established. The controllers that appears in this study are Home Genie, OpenHAB, Home Assistant, Domoticz, Calaos, and Pimatic.This study’s results are obtained through a literary study of 25 studies, and 12 additional technical documentations and information through forums for all the associated controllers. All studies have been retrieved from the Google Scholar database, IEEE Xplore, and ACM Digital Library, and subsequently analyzed and thematically coded for further information. In total, the material of this study has been selected in five steps to ensure relevant material that meets this study’s criteria and objectives for content. This study’s results present an overview that provides knowledge about compared controllers, specifically in connection with the CIA model which highlights the products in the field of security, regarding confidentiality, integrity, and availability.

Indiana University-Purdue University Indianapolis (IUPUI) / The Energy Monitoring Framework, designed and developed by IAC, IUPUI, aims to provide a cloud-based solution that combines business analytics with sensors for real-time energy management at the plant level using wireless sensor network technology. The project provides a platform where users can analyze the functioning of a plant using sensor data. The data would also help users to explore the energy usage trends and identify any energy leaks due to malfunctions or other environmental factors in their plant. Additionally, the users could check the machinery status in their plant and have the capability to control the equipment remotely. The main objectives of the project include the following: • Set up a wireless network using sensors and smart implants with a base station/ controller. • Deploy and connect the smart implants and sensors with the equipment in the plant that needs to be analyzed or controlled to improve their energy efficiency. • Set up a generalized interface to collect and process the sensor data values and store the data in a database. • Design and develop a generic database compatible with various companies irrespective of the type and size. • Design and develop a web application with a generalized structure. Hence the database can be deployed at multiple companies with minimum customization. The web app should provide the users with a platform to interact with the data to analyze the sensor data and initiate commands to control the equipment. The General Structure of the project constitutes the following components: • A wireless sensor network with a base station. • An Edge PC, that interfaces with the sensor network to collect the sensor data and sends it out to the cloud server. The system also interfaces with the sensor network to send out command signals to control the switches/ actuators. • A cloud that hosts a database and an API to collect and store information. • A web application hosted in the cloud to provide an interactive platform for users to analyze the data. The project was demonstrated in: • Lecture Hall (https://iac-lecture-hall.engr.iupui.edu/LectureHallFlask/). • Test Bed (https://iac-testbed.engr.iupui.edu/testbedflask/). • A company in Indiana. The above examples used sensors such as current sensors, temperature sensors, carbon dioxide sensors, and pressure sensors to set up the sensor network. The equipment was controlled using compactable switch nodes with the chosen sensor network protocol. The energy consumption details of each piece of equipment were measured over a few days. The data was validated, and the system worked as expected and helped the user to monitor, analyze and control the connected equipment remotely.

<p><strong>The Energy Monitoring Framework</strong>, designed and developed by IAC, IUPUI, aims to provide a cloud-based solution that combines business analytics with sensors for real-time energy management at the plant level using wireless sensor network technology.</p> <p>The project provides a platform where users can analyze the functioning of a plant using sensor data. The data would also help users to explore the energy usage trends and identify any energy leaks due to malfunctions or other environmental factors in their plant. Additionally, the users could check the machinery status in their plant and have the capability to control the equipment remotely.</p> <p>The main objectives of the project include the following:</p> <ul> <li>Set up a wireless network using sensors and smart implants with a base station/ controller.</li> <li>Deploy and connect the smart implants and sensors with the equipment in the plant that needs to be analyzed or controlled to improve their energy efficiency.</li> <li>Set up a generalized interface to collect and process the sensor data values and store the data in a database.</li> <li>Design and develop a generic database compatible with various companies irrespective of the type and size.</li> <li> Design and develop a web application with a generalized structure. Hence the database can be deployed at multiple companies with minimum customization. The web app should provide the users with a platform to interact with the data to analyze the sensor data and initiate commands to control the equipment.</li> </ul> <p>The General Structure of the project constitutes the following components:</p> <ul> <li>A wireless sensor network with a base station.</li> <li>An Edge PC, that interfaces with the sensor network to collect the sensor data and sends it out to the cloud server. The system also interfaces with the sensor network to send out command signals to control the switches/ actuators.</li> <li>A cloud that hosts a database and an API to collect and store information.</li> <li>A web application hosted in the cloud to provide an interactive platform for users to analyze the data.</li> </ul> <p>The project was demonstrated in:</p> <ul> <li>Lecture Hall (https://iac-lecture-hall.engr.iupui.edu/LectureHallFlask/).</li> <li>Test Bed (https://iac-testbed.engr.iupui.edu/testbedflask/).</li> <li>A company in Indiana.</li> </ul> <p>The above examples used sensors such as current sensors, temperature sensors, carbon dioxide sensors, and pressure sensors to set up the sensor network. The equipment was controlled using compactable switch nodes with the chosen sensor network protocol. The energy consumption details of each piece of equipment were measured over a few days. The data was validated, and the system worked as expected and helped the user to monitor, analyze and control the connected equipment remotely.</p> <p><br></p>