Demo Data from EDBT 2026 / reviewers in the wild / expert
Frank van Maarseveen
dblp:322/4083
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 since 2021
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% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Embedded and real-time systems · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Internet of things and sensor networks › wireless sensor network › target tracking
animal tracking |
0.6 | 1 | 2022 | Vildehaye: A Family of Versatile, Widely-Applicable, and Field-Proven Lightweight Wildlife Tracking and Sensing Tags · IPSN 2022 |
Wireless sensing and localization › tracking
RF tracking |
0.6 | 1 | 2022 | Vildehaye: A Family of Versatile, Widely-Applicable, and Field-Proven Lightweight Wildlife Tracking and Sensing Tags · IPSN 2022 |
Wireless sensing and localization › range-based localization › time-based localization
time-of-arrival localization |
0.6 | 1 | 2022 | Vildehaye: A Family of Versatile, Widely-Applicable, and Field-Proven Lightweight Wildlife Tracking and Sensing Tags · IPSN 2022 |
Internet of things and sensor networks
wireless sensor network |
0.6 | 1 | 2022 | Vildehaye: A Family of Versatile, Widely-Applicable, and Field-Proven Lightweight Wildlife Tracking and Sensing Tags · IPSN 2022 |
Embedded and real-time systems
energy-efficient embedded systems |
0.2 | 1 | 2022 | Vildehaye: A Family of Versatile, Widely-Applicable, and Field-Proven Lightweight Wildlife Tracking and Sensing Tags · IPSN 2022 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Vildehaye: A Family of Versatile, Widely-Applicable, and Field-Proven Lightweight Wildlife Tracking and Sensing TagsabstractWe describe the design and implementation of Vildehaye, a family of versatile, widely-applicable, and field-proven tags for wildlife sensing and radio tracking. The family includes 6 distinct hard-ware designs for tags, 3 add-on boards, a programming adapter, and base stations; modular firmware for tags and base stations (both standalone low-power embedded base stations and base stations tethered to a computer running Linux or Windows); and desk-top software for programming and configuring tags, monitoring tags, and downloading and processing sensor data. The tags are versatile: they support multiple packet formats, data rates, and frequency bands; they can be configured for minimum mass (down to less than 1 g), making them applicable to a wide range of flying and terrestrial animals, or for inclusion of important sensors and large memories; they can transmit packets compatible with time-of-arrival transmitter-localization systems, tag identification and state packets, and they can reliably upload sensor data through their radio link. The system has been designed, upgraded, and main-tained as an academic research project, but it has been extensively used by 5 different groups of ecologists in 4 countries over a period of 5 years. More than 7100 tags have been produced and most of these have been deployed. Production used 41 manufacturing runs. The tags have been used in studies that so far resulted in 9 scientific publications in ecology (including in Science). The paper describes innovative design aspects of Vildehaye, field-use experiences, and lessons from the design, implementation, and maintenance of the system. Both the hardware and software of the system are open. Sivan Toledo, Shai Mendel, Anat Levi, Yoni Vortman, Wiebke Ullmann, Lena-Rosa Scherer, Jan Pufelski, Frank van Maarseveen, Bas Denissen, Allert Bijleveld, Yotam Orchan, Yoav Bartan, Sivan Margalit, Idan Talmon, Ran Nathan |
IPSN | 8 |