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Thomas Watteyne   Dr.  Other 
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Thomas Watteyne published an article in January 2019.
Top co-authors See all
Xavier Vilajosana

90 shared publications

Universitat Oberta de Catalunya (UOC), Wireless Networks (WiNe) Lab, Barcelona, Spain

Fabrice Theoleyre

69 shared publications

T&S Group, Schiltigheim, 67300, France

Kris Pister

34 shared publications

Department of Electrical Engineering and Computer, Sciences University of California, Berkeley Berkeley, California, USA

Thomas Noël

32 shared publications

University of Strasbourg

Francesco Avanzi

22 shared publications

Now at: Department of Civil and Environmental Engineering, University of California, Berkeley, Berkeley, USA

14
Publications
8
Reads
0
Downloads
46
Citations
Publication Record
Distribution of Articles published per year 
(2015 - 2019)
Total number of journals
published in
 
10
 
Publications See all
Article 0 Reads 0 Citations Constructive Interference in 802.15.4: A Tutorial Tengfei Chang, Thomas Watteyne, Xavier Vilajosana, Pedro Hen... Published: 01 January 2019
IEEE Communications Surveys & Tutorials, doi: 10.1109/comst.2018.2870643
DOI See at publisher website
Article 0 Reads 0 Citations Prediction of Frost Events Using Machine Learning and IoT Sensing Devices Ana Laura Diedrichs, Facundo Bromberg, Diego Dujovne, Keoma ... Published: 01 December 2018
IEEE Internet of Things Journal, doi: 10.1109/jiot.2018.2867333
DOI See at publisher website
Article 0 Reads 0 Citations Evaluation of IEEE802.15.4g for Environmental Observations Jonathan Muñoz, Tengfei Chang, Xavier Vilajosana, Thomas Wat... Published: 15 October 2018
Sensors, doi: 10.3390/s18103468
DOI See at publisher website PubMed View at PubMed ABS Show/hide abstract
IEEE802.15.4g is a low-power wireless standard initially designed for Smart Utility Networks, i.e., for connecting smart meters. IEEE802.15.4g operates at sub-GHz frequencies to offer 2–3× longer communication range compared to its 2.4 GHz counterpart. Although the standard offers 3 PHYs (Frequncy Shift Keying, Orthogonal Frequency Division Multiplexing and Offset-Quadrature Phase Shift Keying) with numerous configurations, 2-FSK at 50 kbps is the mandatory and most prevalent radio setting used. This article looks at whether IEEE802.15.4g can be used to provide connectivity for outdoor deployments. We conduct range measurements using the totality of the standard (all modulations with all further parametrization) in the 863–870 MHz band, within four scenarios which we believe cover most low-power wireless outdoor applications: line of sight, smart agriculture, urban canyon, and smart metering. We show that there are radio settings that outperform the “2-FSK at 50 kbps” base setting in terms of range, throughput and reliability. Results show that highly reliable communications with data rates up to 800 kbps can be achieved in urban environments at 540 m between nodes, and the longest useful radio link is obtained at 779 m. We discuss how IEEE802.15.4g can be used for outdoor operation, and reduce the number of repeater nodes that need to be placed compared to a 2.4 GHz solution.
Article 0 Reads 0 Citations Simulating 6TiSCH networks Esteban Municio, Glenn Daneels, Mališa Vučinić, Steven Latré... Published: 17 August 2018
Transactions on Emerging Telecommunications Technologies, doi: 10.1002/ett.3494
DOI See at publisher website
Article 6 Reads 0 Citations Using SmartMesh IP in Smart Agriculture and Smart Building applications Keoma Brun-Laguna, Ana Laura Diedrichs, Diego Dujovne, Carlo... Published: 01 May 2018
Computer Communications, doi: 10.1016/j.comcom.2018.03.010
DOI See at publisher website
Article 0 Reads 2 Citations Real-Time Alpine Measurement System Using Wireless Sensor Networks Sami A. Malek, Francesco Avanzi, Keoma Brun-Laguna, Tessa Ma... Published: 09 November 2017
Sensors, doi: 10.3390/s17112583
DOI See at publisher website PubMed View at PubMed ABS Show/hide abstract
Monitoring the snow pack is crucial for many stakeholders, whether for hydro-power optimization, water management or flood control. Traditional forecasting relies on regression methods, which often results in snow melt runoff predictions of low accuracy in non-average years. Existing ground-based real-time measurement systems do not cover enough physiographic variability and are mostly installed at low elevations. We present the hardware and software design of a state-of-the-art distributed Wireless Sensor Network (WSN)-based autonomous measurement system with real-time remote data transmission that gathers data of snow depth, air temperature, air relative humidity, soil moisture, soil temperature, and solar radiation in physiographically representative locations. Elevation, aspect, slope and vegetation are used to select network locations, and distribute sensors throughout a given network location, since they govern snow pack variability at various scales. Three WSNs were installed in the Sierra Nevada of Northern California throughout the North Fork of the Feather River, upstream of the Oroville dam and multiple powerhouses along the river. The WSNs gathered hydrologic variables and network health statistics throughout the 2017 water year, one of northern Sierra’s wettest years on record. These networks leverage an ultra-low-power wireless technology to interconnect their components and offer recovery features, resilience to data loss due to weather and wildlife disturbances and real-time topological visualizations of the network health. Data show considerable spatial variability of snow depth, even within a 1 km2 network location. Combined with existing systems, these WSNs can better detect precipitation timing and phase in, monitor sub-daily dynamics of infiltration and surface runoff during precipitation or snow melt, and inform hydro power managers about actual ablation and end-of-season date across the landscape.
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