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Thomas Hammel

dblp:63/1208 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2007
—ORCID · none

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

Computer networks · 1 · 1 first-author

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
1 paper
Internet of things and sensor networks · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Energy-efficient computing · 67% Embedded and real-time systems · 33%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Internet of things and sensor networks
wireless sensor network
0.112007
A higher capability sensor node platform suitable for demanding applications · IPSN 2007
Internet of things and sensor networks › wireless sensor network
wireless sensor network platform
0.112007
A higher capability sensor node platform suitable for demanding applications · IPSN 2007
Embedded and real-time systems
cyber-physical system platforms
0.012007
A higher capability sensor node platform suitable for demanding applications · IPSN 2007
Energy-efficient computing › power management › low-power mode management
duty cycling
0.012007
A higher capability sensor node platform suitable for demanding applications · IPSN 2007
Energy-efficient computing
power management
0.012007
A higher capability sensor node platform suitable for demanding applications · IPSN 2007

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

simulation · 0.1
YearPublicationVenuePosition
2007 A higher capability sensor node platform suitable for demanding applications
abstract
A novel, autonomous, fully distributed sensor node platform designed and built for a continuous, wide-area surveillance and security system is described. Sensor nodes cooperate to detect and track intruders in the surveilled area. Analysis and simulation of the surveillance system indicates that while considerably more capability is required in many aspects (processing power, memory, latency, communication range, and so on) than is currently available in common "mote" designs, performance, energy consumption, node lifetime, and ease of use are enhanced by this approach. Because higher capability components are used, more careful scheduling and power control software is required to mitigate the impact on energy consumption. A full software suite was developed and instrumented to record true system usage during operation of the surveillance system. Measurements of actual usage have been made on a moderately oversized prototype platform. A second generation platform has been designed based on the measured usage data. The software suite is being ported to this platform. Lifetime of the second generation platform running the demanding surveillance application is expected to be about 90 days on 2 AA batteries (3000mAh at 1.5V). Applications with less stringent requirements should enjoy much longer lifetimes.
Thomas Hammel, Mark Rich
IPSN1