SENSORCOMM 2019 - The Thirteenth International Conference on Sensor Technologies and Applications
October 27, 2019 - October 31, 2019
SENSORCOMM 2019: Awards
The papers listed below have been selected as "Best Papers" based on the reviews of the original submission, the camera-ready version, and the presentation during the conference. For the awarded papers, a digital award will be issued in the name of the authors. The authors of these papers are also receiving invitations to submit an extended article version to one of the IARIA Journals.
Awarded Papers
Theoretical Models for Underwater RFID
Caroline Peres, John Buckley, Nadeem Rather, Brendan O'Flynn
Design, Development and Field Deployment of a Low-cost Distributed Wireless Sensor Network System for Real-time Hydraulic Fracturing Monitoring in Mines
Amirali Soroush, Wen Shen (Vincent) Mow
Energy-Aware Grid Based Coverage Path Planning for UAVs
Alia Ghaddar, Ahmad Merei
The following papers have been selected on the basis of their contents, specificaly for lending themselves to an interesting extended work. The authors of these papers are receiving invitations to submit an extended article version to one of the IARIA Journals.
Papers Invited for IARIA Journals
Adaptive Optical Sensors
Ivan Krejci, Karel Dvorak
Distributed Kalman Filter Investigation and Application to Leak Detection in Water Pipeline Monitoring Using Wireless Sensor Networks with Non-intrusive Sensors
Valery Nkemeni, Fabien Mieyeville, Jacques Verdier, Pierre Tsafack
Energy-aware Cross-level Model for Wireless Sensor Networks
Michel Bakni, Guillaume Terrasson, Octavian Curea, Alvaro Llaria, Jessye Dos Santos
Simulating a Network: An Approach for Connecting Multiple SystemC Simulations
Thomas Wolfgang Pieber, Fikret Basic, Thomas Ulz, Christian Steger
Proposition of a Smart Environment Architecture for Ressources Monitoring and Rural Activities Management
Thierry Antoine-Santoni, Bastien Poggi, Dominique Federici, François-Marie Manicacci, Jean-Sebastien Gualtieri, Antoine Aiello
Wearable Fall Detection System Using Barometric Pressure Sensors and Machine Learning
Yingnan Sun, Frank P.-W. Lo, Surapa Thiemjarus, Benny Lo