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Regina Bischoff

dblp:38/4249 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2004
—ORCID · none

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

Human-computer interaction and ubiquitous computing · 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 · 50% Wireless sensing and localization · 50%
Theoretical computer science
1 paper
Computational geometry · 77% Distributed computing theory · 23%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wireless sensing and localization › sensor network localization
connectivity-based localization
0.012004
Analyzing Connectivity-Based Multi-Hop Ad-hoc Positioning · PerCom 2004
Internet of things and sensor networks
wireless sensor network
0.012004
Analyzing Connectivity-Based Multi-Hop Ad-hoc Positioning · PerCom 2004
Computational geometry › intersection graphs
unit disk graphs
0.012004
Analyzing Connectivity-Based Multi-Hop Ad-hoc Positioning · PerCom 2004
Distributed computing theory
distributed algorithms
0.012004
Analyzing Connectivity-Based Multi-Hop Ad-hoc Positioning · PerCom 2004

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

simulation · 0.1
YearPublicationVenuePosition
2004 Analyzing Connectivity-Based Multi-Hop Ad-hoc Positioning
abstract
We investigate the theoretical limits of positioning algorithms. In particular, we study scenarios where the nodes do not receive anchors directly (multi-hop) and where no physical distance or angle information whatsoever is available (connectivity-based). Since we envision large-scale sensor networks as an application, we are interested in fast, distributed algorithms. As such, we show that plain hop algorithms are not competitive. Instead, for one-dimensional unit disk graphs we present an optimal algorithm HS. For two or more dimensions, we propose an algorithm GHoST which improves upon the basic hop algorithm in theory and in simulations.
Regina Bischoff, Roger Wattenhofer
PerCom1