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Title:Motion tracking problems in Internet of Things (IoT) and wireless networking
Author(s):Gowda, Mahanth Krishnappa
Director of Research:Roy Choudhury, Romit
Doctoral Committee Chair(s):Roy Choudhury, Romit
Doctoral Committee Member(s):Maggs, Bruce; Vaidya, Nitin; Nahrstedt, Klara; Abdelzaher, Tarek
Department / Program:Computer Science
Discipline:Computer Science
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Differential Global Positioning System (GPS)
Carrier phases
Unmanned aerial vehicle (UAV)
Drones
Inertial measurement units (IMU)
Wireless
Robotic networks
Infrastructure
Measurement
Wearables
Analytics
Ultra-wideband (UWB)
Sports
Internet of Things (IoT)
Embedded sensing
Abstract:The dissertation focuses on inferring various motion patterns of internet-of-things (IoT) devices, by leveraging inertial sensors embedded in these objects, as well as wireless signals emitted (or reflected) from them. For instance, we use a combination of GPS signals and inertial sensors on drones to precisely track its 3D orientation over time, ultimately improving safety against failures and crashes. In another application in sports analytics, we embed sensors and radios inside baseballs and cricket balls and compute their 3D trajectory and spin patterns, even when they move at extremely high speeds. In a third application for wireless networks, we explore the possibility of physically moving wireless infrastructure like Access Points and basestations on robots and drones for enhancing the network performance. While these are diverse applications in drones, sports analytics, and wireless networks, the common theme underlying the research is in the development of the core motion-related building blocks. Specifically, we emphasize the philosophy of "fusion of multi modal sensor data with application specific model” as the design principle for building the next generation of diverse IoT applications. To this end, we draw on theoretical techniques in wireless communication, signal processing, and statistics, but translate them to completely functional systems on real-world platforms.
Issue Date:2017-12-05
Type:Text
URI:http://hdl.handle.net/2142/99369
Rights Information:Copyright 2017 Mahanth Krishnappa Gowda
Date Available in IDEALS:2018-03-13
Date Deposited:2017-12


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