Abstract
Recently the constant growth of the wireless communication technology has caused a huge demand for experimental facilities. Hence many research institutes setup public accessible experimental facilities, known as testbeds. Compared to the facilities developed by individual researchers, a testbed typically offers more resources, more flexibilities. However, due to the fact that equipments are located remotely and experiments involve more complex scenarios, the required complexity for analysis is also higher. A deep insight on the underlying wireless environment of the testbed becomes necessary for comprehensive analysis.
In this chapter, we present a framework and associated techniques for monitoring the wireless environment in a large scale wireless testbed. The framework utilizes most common resources in the testbed, such as WI-FI nodes, as well as some high-end software-defined radio platforms. Information from both physical layer and network layer are taken into account. We observe that feature detection is more sensitive than general energy detection for dedicated technologies, and distributed spectrum sensing can further improve the detection sensitivity. Such observations are applied to achieve better interference detection. The performance is mainly analyzed experimentally.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
IEEE802.11 standards revised due to fast WI-FI growth, http://www.telecoms.com/43908/802-11-standards-revised-due-to-growth-of-wifi/
IEEE standards, http://standards.ieee.org/findstds/standard/
Burchfield, R., et al.: RF in the Jungle: Effect of Environment Assumptions on Wireless Experiment Repeatability. In: IEEE International Conference on Communications, ICC 2009, pp. 1–6 (2009), doi:10.1109/ICC.2009.5199421
Kamerman, A., Monteban, L.: WaveLAN-II: A High-performance wireless LAN for the unlicensed band. Bell Lab Technical Journal, 118–133 (Summer 1997)
Lacage, M., et al.: IEEE 802.11 rate adaptation: a practical approach. In: MSWiM 2004 Proceedings of the 7th ACM International Symposium on Modeling, Analysis and Simulation of Wireless and Mobile Systems, pp. 126–134 (2004)
Baccour, N., Koubâa, A., Youssef, H., Ben Jamâa, M., do Rosário, D., Alves, M., Becker, L.B.: F-LQE: A fuzzy link quality estimator for wireless sensor networks. In: Silva, J.S., Krishnamachari, B., Boavida, F. (eds.) EWSN 2010. LNCS, vol. 5970, pp. 240–255. Springer, Heidelberg (2010)
Tevfik, Y., Huseyin, A.: A survey of spectrum sensing algorithms for cognitive radio applications. IEEE Comm. Servey and Tutorial 11(1), 116–130 (2009)
Passas, V., Keranidis, S., Korakis, T., Koutsopoulos, I., Tassiulas, L.: An Experimental Framework for Channel Sensing through USRP/GNU Radios. In: Korakis, T., Zink, M., Ott, M. (eds.) TridentCom 2012. LNICST, vol. 44, pp. 383–386. Springer, Heidelberg (2012)
NITOS wireless testbed, http://nitlab.inf.uth.gr/NITlab/index.php/testbed
Syrivelis, D., Anadiotis, A.C., Apostolaras, A., Korakis, T., Tassiulas, L.: TLQAP: A Topology and Link Quality Assessment Protocol For Efficient Node Allocation on Wireless Testbeds. In: The Proceedings of WiNTECH 2009, Beijing, China (September 2009)
PTPD protocol, http://ptpd.sourceforge.net/
Baccour, N., et al.: A testbed for the evaluation of link quality estimators in wireless sensor networks. In: IEEE/ACS International Conference on Computer Systems and Applications, AICCSA (2010)
Ettus Research, http://www.ettus.com/
Rakotoarivelo, T., Ott, M., Jourjon, G., Seskar, I.: OMF: A Control and Management Framework for Networking Testbeds. SIGOPS Oper. Syst. Rev. 43, 54–59 (2010)
Radiotap, http://www.radiotap.org/
GNU Radio wiki, http://gnuradio.org/redmine/projects/gnuradio/wiki
Sutton, P., et al.: Iris: an architecture for cognitive radio networking testbeds. IEEE Comm. Mag. 48(9), 114–122 (2010)
Universal Hardware Driver(UHD), http://code.ettus.com/redmine/ettus/projects/uhd/wiki
Liu, W., et al.: Real-time wide-band spectrum sensing for cognitive radio. In: 2011 18th IEEE Symposium on Communications and Vehicular Technology in the Benelux, SCVT (2011)
Lee, J., et al.: An experimental study on the capture effect in 802.11a networks. In: Proceedings of the Second ACM International Workshop on Wireless Network Testbeds, Experimental Evaluation and Characterization, pp. 19–26
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Liu, W. et al. (2013). Various Detection Techniques and Platforms for Monitoring Interference Condition in a Wireless Testbed. In: Fàbrega, L., Vilà, P., Careglio, D., Papadimitriou, D. (eds) Measurement Methodology and Tools. Lecture Notes in Computer Science, vol 7586. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41296-7_4
Download citation
DOI: https://doi.org/10.1007/978-3-642-41296-7_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-41295-0
Online ISBN: 978-3-642-41296-7
eBook Packages: Computer ScienceComputer Science (R0)