Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data.

Jeff S. Pettyjohn

dblp:96/9273 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
0since 2021 · last 2010
—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%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Internet of things and sensor networks › time synchronization
clock offset estimation
0.112010
Least Squares-Based Estimation of Relative Clock Offset and Frequency in Sensor Networks with High Latency · IEEE Trans. Commun. 2010
Internet of things and sensor networks
time synchronization
0.112010
Least Squares-Based Estimation of Relative Clock Offset and Frequency in Sensor Networks with High Latency · IEEE Trans. Commun. 2010
Internet of things and sensor networks
wireless sensor network
0.112010
Least Squares-Based Estimation of Relative Clock Offset and Frequency in Sensor Networks with High Latency · IEEE Trans. Commun. 2010

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

least-squares estimation · 0.1TSHL protocol · 0.1
YearPublicationVenuePosition
2010 Least Squares-Based Estimation of Relative Clock Offset and Frequency in Sensor Networks with High Latency
abstract
Accurate clock synchronization is essential in the operation of Sensor Networks. Algorithms for clock synchronization generally rely on estimators of the relative offset and frequency of two different clocks. Sensor Networks have limited power resources so it is important that these estimators not be too computationally intensive. For this reason a number of least squares-based estimators have been proposed, however they are not appropriate for sensor networks with significant propagation latency. For these applications, the Time Synchronization for High Latency (TSHL) protocol was developed. We seek to improve the accuracy of TSHL and thus propose, study, and demonstrate the effectiveness of several alternative least squares-based estimators.
Jeff S. Pettyjohn, Daniel R. Jeske, Jun Li 0023
IEEE Trans. Commun.1