Power-efficient remote sensing systems with drones and wireless sensor networks
Talk by Prof. Chris Thron on Power-efficient remote sensing systems with drones and wireless sensor networks
Abstract: Remote sensing has numerous applications in agriculture, environmental management, military, as well as other areas. Two common technologies for remote sensing are drones and wireless sensor networks. In both technologies, power consumption is a key consideration, because system capabilities are power-limited, because both drones and wireless sensors are battery-operated. In this talk we analyze three designs for power-saving remote sensing systems: one using drones with remote solar-powered charging stations; one using wireless sensors with repeaters or strategically-placed wires; and one using a combination of drones and wireless sensors that takes advantage of the strengths of both technologies.
Date and Time
Location
Hosts
Registration
- Date: 07 Jun 2023
- Time: 10:00 AM to 11:30 AM
- All times are (UTC+02:00) Pretoria
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- University of Cape Town
- Rondebosch
- Cape Town, Western Cape
- South Africa 7700
- Building: Menzies Building
- Room Number: Seminar room 6.18
- Contact Event Host
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Professor Komla Folly (komla.folly@uct.ac.za)
- Co-sponsored by University of Cape Town
Speakers
Christopher Thron of Texas A&M University
Power-efficient remote sensing systems with drones and wireless sensor networks
Abstract: Remote sensing has numerous applications in agriculture, environmental management, military, as well as other areas. Two common technologies for remote sensing are drones and wireless sensor networks. In both technologies, power consumption is a key consideration, because system capabilities are power-limited, because both drones and wireless sensors are battery-operated. In this talk we analyze three designs for power-saving remote sensing systems: one using drones with remote solar-powered charging stations; one using wireless sensors with repeaters or strategically-placed wires; and one using a combination of drones and wireless sensors that takes advantage of the strengths of both technologies.
Biography:
Christopher Thron is associate professor in the Department of Science and Mathematics at Texas A&M University-Central Texas. Previously he was a communications systems engineer with NEC America, Motorola, and Freescale. He has Ph.D. degrees in mathematics (from University of Wisconsin) and physics (University of Kentucky). His current research focus areas include machine learning, operations research, stochastic optimization, agent-based modelling and algorithm design. Applications he has worked on include communications systems, target tracking, scheduling, epidemiological and social modeling, and public health statistics. He has 50+ journal publications, 3 books, and 9 patents He has participated extensively in collaborative research in Africa, and has been supported by the U.S. Fulbright program, International Mathematician’s Union, and the U.S. Air Force Research Laboratory.