TY - GEN
T1 - Performance analysis of a wireless sensor network for seism reporting in an overlay cognitive radio system
AU - Garrido, Hassel Aurora Alcala
AU - Rivero-Angeles, Mario E.
AU - Flores, Izlian Yolanda Orea
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/5/17
Y1 - 2016/5/17
N2 - This paper studies the performance of a wireless sensor network (WSN) with cognitive radio (CR) capabilities to gather information about structural health monitoring (SHM) of buildings in case of seismic activity. The system performance is evaluated in terms of average packet delay and average energy consumption. In order to efficiently use the resources of the network and considering that the WSN will be installed in office or home buildings, we propose the use of the empty (white) spaces in a conventional cellular system. Thus, the WSN will act as secondary network, which do not affect the quality of service of the primary network, since it is proposed to work in an overlay structure. The main performance parameter of the primary network is the blocking probability since a Blocked Call Cleared (BCC) system is considered.
AB - This paper studies the performance of a wireless sensor network (WSN) with cognitive radio (CR) capabilities to gather information about structural health monitoring (SHM) of buildings in case of seismic activity. The system performance is evaluated in terms of average packet delay and average energy consumption. In order to efficiently use the resources of the network and considering that the WSN will be installed in office or home buildings, we propose the use of the empty (white) spaces in a conventional cellular system. Thus, the WSN will act as secondary network, which do not affect the quality of service of the primary network, since it is proposed to work in an overlay structure. The main performance parameter of the primary network is the blocking probability since a Blocked Call Cleared (BCC) system is considered.
KW - Blocked Calls Cleared (BCC) system
KW - Cognitive Radio (CR)
KW - Seism detection
KW - Structural Health Monitoring (SHM)
KW - Wireless Sensor Networks (WSN)
UR - http://www.scopus.com/inward/record.url?scp=84983486483&partnerID=8YFLogxK
U2 - 10.1109/WAINA.2016.43
DO - 10.1109/WAINA.2016.43
M3 - Contribución a la conferencia
AN - SCOPUS:84983486483
T3 - Proceedings - IEEE 30th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2016
SP - 565
EP - 570
BT - Proceedings - IEEE 30th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2016
A2 - Jara, Antonio J.
A2 - Takizawa, Makoto
A2 - Bocchi, Yann
A2 - Barolli, Leonard
A2 - Enokido, Tomoya
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 30th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2016
Y2 - 23 March 2016 through 25 March 2016
ER -