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Alocation of Sensor Node Position by a Mobile System
Hyrák, Jakub ; Janoušek, Vladimír (referee) ; Zbořil, František (advisor)
The goal of this diploma work is to study the problems of wireless sensor networks. Describe elements of sensor network and discuss how the individual sensor nodes communicate with each other. Find the way how it would be possible to determine the possition of the new added sensor node or mobile sensor node in the sensor network. The selected one algorithm of determining the possition of the sensor node will be implemented in diploma thesis. Algorithms for determining the positions of sensor nodes are divided into groups by using the methods. Selected algorithm will be tested in simulation on chosen platform.
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Localization of device in wireless environment
František, Milan ; Komosný, Dan (referee) ; Botta, Miroslav (advisor)
The work is focused on localization in wireless networks and localization using inertial measurement units. There is also included a theoretical analysis of used localization techniques. The work also describes how to create application for data collection, application for receiving and processing data and used database. In conclusion of this work is verifying the functionality of whole system.
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Mobile Devices Navigated by an Intelligent Network
Barna, Andrej ; Žák, Marek (referee) ; Zbořil, František (advisor)
This work studies the problem of indoor navigation, using wireless sensor networks. The knowledge of multiagent systems is being used in the process of solving this problem. Platform WSageNt, running on the operating system TinyOS, is being used for the execution of the agents. Agents themselves on the WSageNt platform are created in the language ALLL, which is described in the process. With use of those technologies, a solution is proposed as an extension to the WSageNt plaform and three agents, which fulfill the desired functionality. Then the implementation of this solution is described, followed by its testing, stating advantages and disadvantages of the created system.
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RSSI based localization of sensor units in wireless network
Popovec, Juraj ; Fujdiak, Radek (referee) ; Botta, Miroslav (advisor)
This thesis describes processing of RSSI parameter and its subsequently use for cal- culating distance of wireless node. This thesis also describes analysis of radio model environment and calibration of key variables needed for localization. There is also sys- tem realized for localization of wireless nodes in sensor network. It uses dynamically calibrated variables for calculations, which describes radio model.
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Drone localization and navigation in a familiar environment without GNSS
Pintér, Marco ; Janoušek, Jiří (referee) ; Raichl, Petr (advisor)
This thesis is aimed at development of the localization system without using GNSS. The first part describes technologies, enable determination of position in the area. Methods for determining distance between transmitter and receiver are also described. In the next part of the thesis describes ROS communication form with flight controller PixHawk. On the basis of the acquired knowledge is described choosage of preferred technology and method of determination of the distance between transmitter and receiver.
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UWB Locator
Jančiar, Marek ; Kočí, Radek (referee) ; Janoušek, Vladimír (advisor)
The subject of this work is the implementation and evaluation of the parameters of the localization system using UWB technology. This work focuses on two localization methods, namely TWR and TDoA. To compare the capabilities of UWB with other wireless techno- logy, this work also includes an implementation using BLE technology, specifically a method that uses the RSSI value. Parameters such as the accuracy or energy consumption of the implementation of these methods on specific hardware were practically measured and in- corporated into the text of this work. With the help of this work, the reader can create an image of the capabilities of the mentioned technologies and the way of implementing the localization methods.
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Drone localization and navigation in a familiar environment without GNSS
Pintér, Marco ; Janoušek, Jiří (referee) ; Raichl, Petr (advisor)
This thesis is aimed at development of the localization system without using GNSS. The first part describes technologies, enable determination of position in the area. Methods for determining distance between transmitter and receiver are also described. In the next part of the thesis describes ROS communication form with flight controller PixHawk. On the basis of the acquired knowledge is described choosage of preferred technology and method of determination of the distance between transmitter and receiver.
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Room Occupancy Detection with IoT Sensors
Kolarčík, Tomáš ; Jeřábek, Kamil (referee) ; Pluskal, Jan (advisor)
The aim of this work was to create a module for home automation tools Home Assistant. The module is able to determine which room is inhabited and estimate more accurate position of people inside the room. Known GPS location cannot be used for this purpose because it is inaccurate inside buildings and therefore one of the indoor location techniques needs to be used. Solution based on Bluetooth Low Energy wireless technology was chosen. The localization technique is the fingerprinting method, which is based on estimating the position according to the signal strength at any point in space, which are compared with a database of these points using machine learning. The system can be supplemented with motion sensors that ensure a quick response when entering the room. This system can be deployed within a house, apartment or small to medium-sized company to determine the position of people in the building and can serve as a very powerful element of home automation.
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Lora-Based Indoor Localization
Šimka, Marek
This paper focuses on possible utilization of LoRa (Long Range) technology for indoorlocalization purposes. The SK-iM282A starter kit is used to create a LoRa-based wireless link in the2.4 GHz ISM band. The rightness of the proposed measurement setup and methodology is verifiedand compared with a state-of-the-art concept. Preliminary results show that the accuracy of LoRabasedindoor localization is highly depending on the used LoRa signal configuration.
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