TY - GEN
T1 - Vildehaye
T2 - 21st ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2022
AU - Toledo, Sivan
AU - Mendel, Shai
AU - Levi, Anat
AU - Vortman, Yoni
AU - Ullmann, Wiebke
AU - Scherer, Lena Rosa
AU - Pufelski, Jan
AU - Van Maarseveen, Frank
AU - Denissen, Bas
AU - Bijleveld, Allert
AU - Orchan, Yotam
AU - Bartan, Yoav
AU - Margalit, Sivan
AU - Talmon, Idan
AU - Nathan, Ran
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022/1/1
Y1 - 2022/1/1
N2 - We 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.
AB - We 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.
UR - http://www.scopus.com/inward/record.url?scp=85134097796&partnerID=8YFLogxK
U2 - 10.1109/IPSN54338.2022.00008
DO - 10.1109/IPSN54338.2022.00008
M3 - Conference contribution
AN - SCOPUS:85134097796
T3 - Proceedings - 21st ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2022
SP - 1
EP - 14
BT - Proceedings - 21st ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2022
PB - Institute of Electrical and Electronics Engineers
Y2 - 4 May 2022 through 6 May 2022
ER -
