TY - JOUR
T1 - Performance analysis of a wireless sensor network with cognitive radio capabilities in structural health monitoring applications
T2 - A discrete model
AU - Alcalá Garrido, Hassel Aurora
AU - Rivero-Angeles, Mario E.
AU - Aguirre Anaya, Eleazar
AU - Cruz-Perez, Felipe A.
AU - Castellanos-Lopez, S. Lirio
AU - Hernandez-Valdez, Genaro
N1 - Publisher Copyright:
© 2018, © The Author(s) 2018.
PY - 2018/5/1
Y1 - 2018/5/1
N2 - This article studies the performance of a wireless sensor network with cognitive radio capabilities to gather information about structural health monitoring of buildings in case of seismic activity. Since the use of the local area network is intensive in office and home environments, we propose the use of empty cellular channels (primary system). As such, the structural health monitoring does not degrade the local communications. Thus, the wireless sensor network for structural health monitoring acts as secondary network. Two discrete-time analytical approaches are proposed and developed to evaluate the system performance in terms of both the average packet delay and average energy consumption. The first one is an approximation suitable for the case when the time slot duration is small relative to the mean call inter-arrival time. The second model is accurate for any time slot duration and inter-arrival times.
AB - This article studies the performance of a wireless sensor network with cognitive radio capabilities to gather information about structural health monitoring of buildings in case of seismic activity. Since the use of the local area network is intensive in office and home environments, we propose the use of empty cellular channels (primary system). As such, the structural health monitoring does not degrade the local communications. Thus, the wireless sensor network for structural health monitoring acts as secondary network. Two discrete-time analytical approaches are proposed and developed to evaluate the system performance in terms of both the average packet delay and average energy consumption. The first one is an approximation suitable for the case when the time slot duration is small relative to the mean call inter-arrival time. The second model is accurate for any time slot duration and inter-arrival times.
KW - Wireless sensor network
KW - blocking probability
KW - cognitive radio
KW - discrete-time digital telephony system
KW - structural health monitoring
UR - http://www.scopus.com/inward/record.url?scp=85047972919&partnerID=8YFLogxK
U2 - 10.1177/1550147718774001
DO - 10.1177/1550147718774001
M3 - Artículo
SN - 1550-1329
VL - 14
JO - International Journal of Distributed Sensor Networks
JF - International Journal of Distributed Sensor Networks
IS - 5
ER -