EconPapers    
Economics at your fingertips  
 

Performance analysis of a wireless sensor network with cognitive radio capabilities in structural health monitoring applications: A discrete model

Hassel Aurora Alcalá Garrido, Mario E Rivero-Angeles, Eleazar Aguirre Anaya, Felipe A Cruz-Perez, S Lirio Castellanos-Lopez and Genaro Hernandez-Valdez

International Journal of Distributed Sensor Networks, 2018, vol. 14, issue 5, 1550147718774001

Abstract: 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.

Keywords: Wireless sensor network; cognitive radio; structural health monitoring; blocking probability; discrete-time digital telephony system (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/1550147718774001 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:intdis:v:14:y:2018:i:5:p:1550147718774001

DOI: 10.1177/1550147718774001

Access Statistics for this article

More articles in International Journal of Distributed Sensor Networks
Bibliographic data for series maintained by SAGE Publications ().

 
Page updated 2025-03-19
Handle: RePEc:sae:intdis:v:14:y:2018:i:5:p:1550147718774001