In Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy
will defend his proposal
Efficient and Scalable Localization and Communication with Ultra-Wideband Radios Through Concurrent Transmissions
AbstractLocation-awareness enables us to make more effective and more efficient decisions. The advancement of localization technologies in terms of efficiency and availability, facilitated the use of location-based services (LBS) in the Internet of Things (IoT). Many IoT applications rely on GPS for localization. However, GPS fails to provide the necessary location accuracy for indoor applications. Ultra-wideband (UWB) radios have facilitated accurate and precise (10 cm) indoor localization in the past few years. With the daily increase in the number of IoT devices, destructive interference becomes a critical issue that impacts the performance of localization and communication. Despite the research in this area, it is still very challenging to build efficient and scalable solutions. Addressing the interference issue usually results in either inefficient or non-scalable solutions. To avoid interference, conventional localization and communication methods only allow one transmitter to send packets at a time which leads to inefficient use of air time. Research studies suggest that concurrent transmissions can increase the efficiency of localization and communication systems by making use of overlapping signals and consequently reducing the total number of packet exchanges. UWB radios can benefit from concurrency by exploiting features of the channel impulse response (CIR) of received packets. An initiator node can simultaneously extract information about each individual responder node by analyzing the CIR estimated for overlapping responses. Related work investigated the feasibility of concurrent localization and concurrent communication, but existing solutions are not practical in real-world environments due to critical scalability issues. In our work, we use Decawave DW1000 UWB radio platform for implementation and evaluation. We plan to (1) investigate the feasibility of concurrent communication with IEEE 802.15.4 UWB compliant radios and (2) tackle a number of scalability issues related to concurrent localization and concurrent communication.
Date: Monday, April 29, 2019
Time: 10:00 - 11:30 AM
Place: PGH 218D
Advisor: Dr. Omprakash Gnawali
Faculty, students, and the general public are invited.