Performance Analysis of a Wireless Sensor Network for Seism Detection in an Overlay Cognitive Radio System

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.

[1]  Ossama Younis,et al.  Distributed clustering in ad-hoc sensor networks: a hybrid, energy-efficient approach , 2004, IEEE INFOCOM 2004.

[2]  A. Mahajan,et al.  A survey of architecture and node deployment in Wireless Sensor Network , 2008, 2008 First International Conference on the Applications of Digital Information and Web Technologies (ICADIWT).

[3]  S. Manesis,et al.  A Survey of Applications of Wireless Sensors and Wireless Sensor Networks , 2005, Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation Intelligent Control, 2005..

[4]  Anuparp Boonsongsrikul,et al.  Effective energy consumption on wireless sensor networks: Survey and challenges , 2013, 2013 36th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO).

[5]  Kai Chen,et al.  Beijing Spectrum Survey for Cognitive Radio Applications , 2013, 2013 IEEE 78th Vehicular Technology Conference (VTC Fall).

[6]  I. Iervolino,et al.  Computer Aided Civil and Infrastructure Engineering , 2009 .

[7]  Han Ji,et al.  A Wireless Sensor Network‐Based Structural Health Monitoring System for Highway Bridges , 2013, Comput. Aided Civ. Infrastructure Eng..

[8]  S. Wittevrongel,et al.  Queueing Systems , 2019, Introduction to Stochastic Processes and Simulation.

[9]  Guofeng Hou,et al.  Implementation and analysis of the LEACH protocol on the TinyOS platform , 2013, 2013 International Conference on ICT Convergence (ICTC).

[10]  Erik G. Larsson,et al.  Sensor networks for cognitive radio : theory and system design , 2008 .

[11]  Özgür B. Akan,et al.  Cognitive radio sensor networks , 2009, IEEE Network.

[12]  Anantha P. Chandrakasan,et al.  An application-specific protocol architecture for wireless microsensor networks , 2002, IEEE Trans. Wirel. Commun..

[13]  Qilian Liang,et al.  Fundamental performance analysis of event detection in wireless sensor networks , 2006, IEEE Wireless Communications and Networking Conference, 2006. WCNC 2006..

[14]  Jiannong Cao,et al.  Distributed Sensing for High-Quality Structural Health Monitoring Using WSNs , 2015, IEEE Transactions on Parallel and Distributed Systems.

[15]  J. Galtier.  Analysis of the Slotted Non-persistent CSMA Protocol with Poissonian Packet Size Using a Semi-Markov Graph Representation , 2006, 2006 International Conference on Transparent Optical Networks.

[16]  Bruno Sericola,et al.  Continuous Monitoring Using Event-Driven Reporting for Cluster-Based Wireless Sensor Networks , 2009, IEEE Transactions on Vehicular Technology.

[17]  Raphael Rom,et al.  Multiple Access Protocols: Performance and Analysis , 1990, SIGMETRICS Perform. Evaluation Rev..