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Yotam Orchan

dblp:179/3199 · DBLP profile ↗
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3ranked-venue papers
0as first author
1since 2021 · last 2022
0000-0001-8217-9910ORCID · corroborated

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

Computer networks · 3 · 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
2 papers
Wireless sensing and localization · 50% Internet of things and sensor networks · 41% Wireless networking · 9%
Computer architecture, parallel and distributed computing, and storage systems
2 papers
Embedded and real-time systems · 70% Performance modeling and evaluation · 30%

Topics — the 5 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Internet of things and sensor networks › wireless sensor network › target tracking
animal tracking
0.612022
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
0.612022
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
0.612022
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
0.612022
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
0.212022
Vildehaye: A Family of Versatile, Widely-Applicable, and Field-Proven Lightweight Wildlife Tracking and Sensing Tags · IPSN 2022
YearPublicationVenuePosition
2022 Vildehaye: A Family of Versatile, Widely-Applicable, and Field-Proven Lightweight Wildlife Tracking and Sensing Tags
abstract
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.
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
IPSN11
2018 Physical-Layer Protocols for Lightweight Wildlife Tags with Internet-of-Things Transceivers
abstract
Most species of birds and bats must be tracked with tracking tags weighing less than 10g and many require tags weighing less than 1g. Tags based on commodity internet-of-things system-on-chips (SoC) can be be mass produced at low-cost, hence allowing many individuals to be tracked. We report on the design and performance of two communication protocols that enable long-range communication with such tags. One is a unidirectional protocol, in which tags transmit unique codes that can be reliably detected from 15km away and that can be used for time-of-arrival and angle-of-arrival localization (tracking). The other is a bidirectional protocol that allows tags to transmit short data packets to low-power low-cost basestations and to receive commands from them. Data packets in this protocol can be reliably received from tags that are 8km away and sometimes from up to 15km, and commands packets can be received by tags from up to 4km away. These protocols have been implemented in low-cost tags that can weigh less than 1g (depending on the choice of battery) and using only about 60uJ per transmission. Our results have been gathered by tagging wild bats. The same tags have been used for time-of-arrival localization of wild bats and birds by several different research groups in 3 countries.
Sivan Toledo, Yotam Orchan, David Shohami, Motti Charter, Ran Nathan
WOWMOM2
2016 Characterizing the Accuracy of a Self-Synchronized Reverse-GPS Wildlife Localization System
Adi Weller Weiser, Yotam Orchan, Ran Nathan, Motti Charter, Anthony J. Weiss, Sivan Toledo
IPSN2