Software-hardware systems for the Internet-of-Things
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2018
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| Online Access: | http://hdl.handle.net/1721.1/115767 |
| _version_ | 1826217401895616512 |
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| author | Salehi-Abari, Omid |
| author2 | Dina Katabi and Anantha P. Chandrakasan. |
| author_facet | Dina Katabi and Anantha P. Chandrakasan. Salehi-Abari, Omid |
| author_sort | Salehi-Abari, Omid |
| collection | MIT |
| description | Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018. |
| first_indexed | 2024-09-23T17:03:04Z |
| format | Thesis |
| id | mit-1721.1/115767 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T17:03:04Z |
| publishDate | 2018 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1157672019-04-11T13:10:56Z Software-hardware systems for the Internet-of-Things Salehi-Abari, Omid Dina Katabi and Anantha P. Chandrakasan. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018. Cataloged from PDF version of thesis. Includes bibliographical references (pages [187]-201). Although interest in connected devices has surged in recent years, barriers still remain in realizing the dream of the Internet of Things (IoT). The main challenge in delivering IoT systems stems from a huge diversity in their demands and constraints. Some applications work with small sensors and operate using minimal energy and bandwidth. Others use high-data-rate multimedia and virtual reality systems, which require multiple-gigabits-per-second throughput and substantial computing power. While both extremes stress the computation, communications, and energy resources available to the underlying devices, each intrinsically requires different solutions to satisfy its needs. This thesis addresses both bandwidth and energy constraints by developing custom software-hardware systems. To tackle the bandwidth constraint, this thesis introduces three systems. First, it presents AirShare, a synchronized abstraction to the physical layer, which enables the direct implementation of diverse kinds of distributed protocols for loT sensors. This capability results in a much higher throughput in today's IoT networks. Then, it presents Agile-Link and MoVR, new millimeter wave devices and protocols which address two main problems that prevent the adoption of millimeter wave frequencies in today's networks: signal blockage and beam alignment. Lastly, this thesis shows how these systems enable new IoT applications, such as untethered high-quality virtual reality. To tackle the energy constraint, this thesis introduces a VLSI chip, which is capable of performing a million-point Fourier transform in real-time, while consuming 40 times less power than prior fast Fourier transforms. Then, it presents Caraoke, a small, low-cost and low-power sensor, which harvests its energy from solar and enables new smart city applications, such as traffic management and smart parking. by Omid Salehi-Abari. Ph. D. 2018-05-23T16:33:55Z 2018-05-23T16:33:55Z 2018 2018 Thesis http://hdl.handle.net/1721.1/115767 1036987527 eng MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 201 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Salehi-Abari, Omid Software-hardware systems for the Internet-of-Things |
| title | Software-hardware systems for the Internet-of-Things |
| title_full | Software-hardware systems for the Internet-of-Things |
| title_fullStr | Software-hardware systems for the Internet-of-Things |
| title_full_unstemmed | Software-hardware systems for the Internet-of-Things |
| title_short | Software-hardware systems for the Internet-of-Things |
| title_sort | software hardware systems for the internet of things |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/115767 |
| work_keys_str_mv | AT salehiabariomid softwarehardwaresystemsfortheinternetofthings |