TY - GEN
T1 - Distributed detection of debris flows on a wireless sensor network
AU - Vargas-Fallas, Óscar
AU - Torres-Rojas, Francisco J.
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/9/30
Y1 - 2014/9/30
N2 - Debris flows are very destructive phenomena that cause damage to population living near rivers. Current warning systems for these phenomena are based on fixed instrumentation located at certain points through the river or indirectly, through remote measurements; as a result, the information they provide is limited, as it lacks real-time and precise data about the event location and its speed. In this paper, we introduce a set of algorithms and protocols for debris flows detection in rivers, using a wireless sensor network. The proposed detection protocol is distributed and decentralized, as it does not rely on a central coordinator to decide on the presence of the event. The proposed algorithms and protocols were evaluated on a simulator, in order to evaluate its performance. Results show that the algorithms are capable of detecting the phenomenon and alert people in the danger area with enough anticipation to prevent a tragedy.
AB - Debris flows are very destructive phenomena that cause damage to population living near rivers. Current warning systems for these phenomena are based on fixed instrumentation located at certain points through the river or indirectly, through remote measurements; as a result, the information they provide is limited, as it lacks real-time and precise data about the event location and its speed. In this paper, we introduce a set of algorithms and protocols for debris flows detection in rivers, using a wireless sensor network. The proposed detection protocol is distributed and decentralized, as it does not rely on a central coordinator to decide on the presence of the event. The proposed algorithms and protocols were evaluated on a simulator, in order to evaluate its performance. Results show that the algorithms are capable of detecting the phenomenon and alert people in the danger area with enough anticipation to prevent a tragedy.
UR - https://www.scopus.com/pages/publications/84923943376
U2 - 10.1109/iwobi.2014.6913948
DO - 10.1109/iwobi.2014.6913948
M3 - Contribución a la conferencia
AN - SCOPUS:84923943376
T3 - 2014 International Work Conference on Bio-Inspired Intelligence: Intelligent Systems for Biodiversity Conservation, IWOBI 2014 - Proceedings
SP - 111
EP - 118
BT - 2014 International Work Conference on Bio-Inspired Intelligence
A2 - Travieso-Gonzalez, Carlos M.
A2 - Arroyo-Hernandez, Jorge
A2 - Ramirez-Bogantes, Melvin
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd IEEE International Work-Conference on Bioinspired Intelligence, IWOBI 2014
Y2 - 16 July 2014 through 18 July 2014
ER -