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Daniel J. Yeager

dblp:69/9294 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2010
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
2 papers
Internet of things and sensor networks · 90% Wireless sensing and localization · 10%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Internet of things and sensor networks
RFID systems
0.112010
RFID: From Supply Chains to Sensor Nets · Proc. IEEE 2010
Internet of things and sensor networks › RFID systems
RFID sensor networks
0.112008
RFID sensor networks with the intel WISP · SenSys 2008
Internet of things and sensor networks
wireless sensor network
0.012010
RFID: From Supply Chains to Sensor Nets · Proc. IEEE 2010
Wireless sensing and localization › RF sensing
RFID sensing
0.012008
RFID sensor networks with the intel WISP · SenSys 2008

Methods — techniques the papers use, named apart from their topics

passive tags · 0.1energy harvesting · 0.1UHF RFID · 0.1
YearPublicationVenuePosition
2010 RFID: From Supply Chains to Sensor Nets
abstract
The next generation internet will be the internet of things (and not just of computing devices like PCs, PDAs); this is presumed to be enabled by integrating simple computing plus communications capabilities into common objects of everyday use. Radio-frequency identification (RFID) is a compelling technology for creation of such pervasive sensor networks due to its potential for ubiquitous, low-cost/low-maintenance use. However, the current drivers for RFID deployment emphasize supply chain management using passive tags, implying that RFID sensor nets require advances beyond the components and system designs aimed at supply chain applications. This work provides a glimpse of how this may be achieved.
Sumit Roy 0001, Vikram Jandhyala, Joshua R. Smith 0001, David Wetherall, Brian P. Otis, Ritochit Chakraborty, Michael Buettner, Daniel J. Yeager, You-Chang Ko, Alanson P. Sample
Proc. IEEE8
2008 RFID sensor networks with the intel WISP
abstract
We demonstrate a simple RFID sensor network comprised of an Intel WISP and a commodity UHF RFID reader. WISPs are devices that gather their operating energy from RFID reader transmissions, in the manner of passive RFID tags, and further include sensors, e.g., accelerometers, and provide a very small-scale computing platform. We believe that the small form factor and lack of battery makes the WISP an attractive alternative to motes for many of the original smart dust applications that require very small or long-lived sensors. The Intel WISP that we demonstrate has an ultra-low-power microcontroller, 32K of program space, 8K of flash, and accelerometer and temperature sensors. It harvests power from and communicates sensor data to standard (EPC Class 1 Gen 2) UHF RFID readers with a range of roughly 10 feet. This combination of RFID technology and sensor networks raises many research challenges, such as how to function with intermittent power and how to modify RFID protocols to support sensor queries.
Michael Buettner, Richa Prasad, Alanson P. Sample, Daniel J. Yeager, Ben Greenstein, Joshua R. Smith 0001, David Wetherall
SenSys4