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11-12 Industrial Communication Systems<br />

stack. Also large-scale sensor network may be created by interconnecting the local islands of the sensors<br />

through other wireless technologies without sacrificing the operational efficiencies within each individual<br />

technology [AMC07,BFNPV07].<br />

11.7 Conclusion<br />

In this chapter, we discussed in general about WMSN. A basic introduction to the WMSN technology<br />

was provided by discussing WMSN architecture and the associated hardware, which included lowto-high<br />

resolution WMSN motes used in deploying any WMSN network. A detailed explanation was<br />

provided on different WMSN architectures and their associated advantages and disadvantages, which<br />

can be used by any network designed when designing or deploying a WMSN for any given application<br />

like surveillance, traffic monitoring, personal and health care, habitat monitoring, and target tracking.<br />

A detailed description was then provided on the technical challenges associated with WMSN and how<br />

these could be mitigated by arriving at reasonable trade-offs in design. The next chapter will focus on<br />

WMSN <strong>communication</strong> protocol stack, which includes the following layers: application layer, transport<br />

layer, network layer, MAC layer, and physical layer.<br />

References<br />

[ALG05] ALG, An Independent Assessment of the Central London Congestion Charging Scheme,<br />

Association of London Government (www.alg.gov.uk), London, U.K., 2005.<br />

[AMC07] I.F. Akyildiz, T. Melodia, and K.R. Chowdhury, A survey on wireless multimedia sensor networks,<br />

Computer Networks, 51, 921–960, 2007.<br />

[BFNPV07] A. Bonivento, C. Fischione, L. Necchi, F. Pianegiani, and A.S. Vincentelli, System level design for<br />

clustered wireless sensor networks, IEEE Transactions on Industrial Informatics, 3(3), 202–214, 2007.<br />

[BP06] U. Bilstrup, and P.-A. Wiberg, An implementation of a 3-tier hierarchical wireless sensor network,<br />

in Proceedings of the 2006 IEEE International Conference on Industrial Informatics, Singapore,<br />

pp. 138–143, August 16–18, 2006.<br />

[CM08] Crossbow Technology Inc., Crossbow MICA2 Mote Specifications, http://www.xbow.com,<br />

August 21, 2008.<br />

[CMU08] The Robotics Institute, Carnegie Mellon University, CMUcam3: Open Source Programmable<br />

Embedded Color Vision Platform, http://www.cmucam.org/, October 12, 2008.<br />

[CMZ08] Crossbow Technology Inc., Crossbow MICAz Mote Specifications, http://www.xbow.com,<br />

August 21, 2008.<br />

[DCIT08] SIMBAII, Development Status and Trend of Chinese Intelligent Traffic, http://www.simbaproject.org/en/simba_regions/china/publications/development_status_and_trend_of_chinese_intelligent_traffic.htm,<br />

October 20, 2008.<br />

[DRA06] I. Downes, L.B. Rad, and H. Aghajan, Development of a mote for wireless image sensor networks,<br />

in Proceedings of COGnitive <strong>systems</strong> with Interactive Sensors (COGIS), Paris, France, March<br />

2006.<br />

[GARM05] B. Girod, A. Aaron, S. Rane, and D. Monedero, Distributed video coding, Proceedings of the<br />

IEEE, 93(1), 71–83, 2005.<br />

[GGC01] S. Grgic, M. Grgic, and B.Z. Cihlar, Performance analysis of image compression using wavelets,<br />

IEEE Transactions on Industrial Electronics, 48(3), 682–695, 2001.<br />

[GT08] Wireless Multimedia Sensor Testbed, Broadband Wireless Networking Lab, School of Electrical<br />

and Computer Engineering, Georgia Institute of Technology, http://www.ece.gatech.edu/research/<br />

labs/bwn/WMSN/testbed.html, August 22, 2008.<br />

[HK03] F. Hu and S. Kumar, Multimedia query with QoS considerations for wireless sensor networks in<br />

telemedicine, in Proceedings of the Society of Photo-Optical Instrumentation Engineers-International<br />

Conference on Internet Multimedia Management Systems, Orlando, FL, September 2003.<br />

© <strong>2011</strong> by Taylor and Francis Group, LLC

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