wilamowski-b-m-irwin-j-d-industrial-communication-systems-2011

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11-12 Industrial Communication Systems stack. Also large-scale sensor network may be created by interconnecting the local islands of the sensors through other wireless technologies without sacrificing the operational efficiencies within each individual technology [AMC07,BFNPV07]. 11.7 Conclusion In this chapter, we discussed in general about WMSN. A basic introduction to the WMSN technology was provided by discussing WMSN architecture and the associated hardware, which included lowto-high resolution WMSN motes used in deploying any WMSN network. A detailed explanation was provided on different WMSN architectures and their associated advantages and disadvantages, which can be used by any network designed when designing or deploying a WMSN for any given application like surveillance, traffic monitoring, personal and health care, habitat monitoring, and target tracking. A detailed description was then provided on the technical challenges associated with WMSN and how these could be mitigated by arriving at reasonable trade-offs in design. The next chapter will focus on WMSN communication protocol stack, which includes the following layers: application layer, transport layer, network layer, MAC layer, and physical layer. References [ALG05] ALG, An Independent Assessment of the Central London Congestion Charging Scheme, Association of London Government (www.alg.gov.uk), London, U.K., 2005. [AMC07] I.F. Akyildiz, T. Melodia, and K.R. Chowdhury, A survey on wireless multimedia sensor networks, Computer Networks, 51, 921–960, 2007. [BFNPV07] A. Bonivento, C. Fischione, L. Necchi, F. Pianegiani, and A.S. Vincentelli, System level design for clustered wireless sensor networks, IEEE Transactions on Industrial Informatics, 3(3), 202–214, 2007. [BP06] U. Bilstrup, and P.-A. Wiberg, An implementation of a 3-tier hierarchical wireless sensor network, in Proceedings of the 2006 IEEE International Conference on Industrial Informatics, Singapore, pp. 138–143, August 16–18, 2006. [CM08] Crossbow Technology Inc., Crossbow MICA2 Mote Specifications, http://www.xbow.com, August 21, 2008. [CMU08] The Robotics Institute, Carnegie Mellon University, CMUcam3: Open Source Programmable Embedded Color Vision Platform, http://www.cmucam.org/, October 12, 2008. [CMZ08] Crossbow Technology Inc., Crossbow MICAz Mote Specifications, http://www.xbow.com, August 21, 2008. [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, October 20, 2008. [DRA06] I. Downes, L.B. Rad, and H. Aghajan, Development of a mote for wireless image sensor networks, in Proceedings of COGnitive systems with Interactive Sensors (COGIS), Paris, France, March 2006. [GARM05] B. Girod, A. Aaron, S. Rane, and D. Monedero, Distributed video coding, Proceedings of the IEEE, 93(1), 71–83, 2005. [GGC01] S. Grgic, M. Grgic, and B.Z. Cihlar, Performance analysis of image compression using wavelets, IEEE Transactions on Industrial Electronics, 48(3), 682–695, 2001. [GT08] Wireless Multimedia Sensor Testbed, Broadband Wireless Networking Lab, School of Electrical and Computer Engineering, Georgia Institute of Technology, http://www.ece.gatech.edu/research/ labs/bwn/WMSN/testbed.html, August 22, 2008. [HK03] F. Hu and S. Kumar, Multimedia query with QoS considerations for wireless sensor networks in telemedicine, in Proceedings of the Society of Photo-Optical Instrumentation Engineers-International Conference on Internet Multimedia Management Systems, Orlando, FL, September 2003. © 2011 by Taylor and Francis Group, LLC
Industrial Strength Wireless Multimedia Sensor Network Technology 11-13 [KCITS08] KANSAS Department of Transportation, Kansas City Scout Intelligent Transportation System, MO, http://www.roadtraffic-technology.com/projects/kansas/, October 20, 2008. [MPOM06] C.B. Margi, V. Petkov, K. Obraczka, and R. Manduchi, Characterizing energy consumption in a visual sensor network testbed, in Proceedings of IEEE/Create-Net International Conference on Testbeds and Research Infrastructures for the Development of Networks and Communities (TridentCom), Barcelona, Spain, March 2006. [NW08] T. Nurca, W. WANG, Self-orienting wireless multimedia sensor networks for occlusion-free viewpoints, Computer Networks, 52(13), 2558–2567, 2008. [R05] A.A. Reeves, Remote monitoring of patients suffering from early symptoms of dementia, in Proceedings of International Workshop Wearable Implantable Body Sensor Network, London, U.K., April 2005. [RIGWES05] M. Rahimi, R. Baer, O. Iroezi, J. Garcia, J. Warrior, D. Estrin, and M. Srivastava, Cyclops: In situ image sensing and interpretation in wireless sensor networks, in Proceedings of the ACM Conference on Embedded Networked Sensor Systems (SenSys), San Diego, CA, November 2005. [SP08] Crossbow Technology Inc., The Stargate Platform, http://www.xbow.com/Products/Xscale.htm, August 21, 2008. [TB08] Crossbow Technology Inc., Crossbow TelosB Mote Specifications, http://www.xbow.com, August 21, 2008. [WOL02] W. Wolf, B. Ozer, and T. Lv, Smart cameras as embedded systems, IEEE Computer, 35(9), 48–53, September 2002. [YHSG06] K. Yu, M. Hedley, I. Sharp, and Y.J. Guo, Node positioning in ad hoc wireless sensor networks, in 4th International IEEE Conference on Industrial Informatics, pp. 641–646, IEEE, Singapore, 2006. © 2011 by Taylor and Francis Group, LLC
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The Industrial Electronics Handbook
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The Electrical Engineering Handbook
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CRC Press Taylor & Francis Group 60
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viii Contents 11 Industrial Strengt
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x Contents 46 Profisafe............
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Preface The field of industrial ele
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xvi Preambles Thilo Sauter Institut
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xviii Preambles are the same. Commu
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xx Preambles In order to cater to h
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xxii Preambles In this manner, it i
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Editorial Board Dietmar Bruckner Vi
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xxviii Editors J. David Irwin recei
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Contributors Teresa Albero-Albero E
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Contributors xxxiii Georg Gaderer I
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Contributors xxxv Peter Neumann Ins
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Contributors xxxvii Thomas Tamandl
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I Technical Principles 1 ISO/OSI Mo
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Technical Principles I-3 18 Clock S
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1-2 Industrial Communication System
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2 Media Herbert Schweinzer Vienna U
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Media 2-3 TABLE 2.1 Overview over S
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Media 2-5 Single ended Differential
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Media 2-7 2.2.6 Standards Numerous
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Media 2-11 uses light backscatterin
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4 Routing in Wireless Networks Tere
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5 Profiles and Interoperability Ger
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6 Industrial Wireless Sensor Networ
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Industrial Wireless Sensor Networks
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15-14 Industrial Communication Syst
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16 Industrial Agent Technology Alek
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18 Clock Synchronization in Distrib
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20 Network-Based Control Josep M. F
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Network-Based Control 20-3 Thus, th
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21 Functional Safety Thomas Novak S
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Functional Safety 21-3 IEC 61508:20
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Functional Safety 21-5 safety engin
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Functional Safety 21-7 Hazard: tota
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22 Security in Industrial Communica
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24 Embedded Networks in Civilian Ai
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25 Process Automation Alois Zoitl V
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27 Industrial Multimedia Javier Sil
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Industrial Multimedia 27-3 Multimed
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Industrial Multimedia 27-5 FIGURE 2
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Industrial Multimedia 27-9 is neces
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28 Industrial Wireless Communicatio
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29 Protocols in Power Generation Tu
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III Technologies 31 Controller Area
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Technologies III-3 53 WirelessHART,
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31 Controller Area Network Joaquim
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32 Profibus Max Felser Bern Univers
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Profibus 32-3 TABLE 32.3 Transmissi
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Profibus 32-5 32.3 Fieldbus Data Li
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Profibus 32-7 in Figure 32.3. He si
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Profibus 32-9 32.5 Cyclic Data Exch
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33 INTERBUS Juergen Jasperneite Ost
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INTERBUS 33-3 One total frame Loopb
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INTERBUS 33-5 interface shutdown. T
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34 WorldFip Francisco Vasques Unive
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35 Foundation Fieldbus Carlos Eduar
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Foundation Fieldbus 35-5 Many desig
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36 Modbus Mário de Sousa Universit
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Modbus 36-15 Modbus TCP frame MBAP
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37 Industrial Ethernet Gaëlle Mars
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Industrial Ethernet 37-7 TABLE 37.1
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40 PROFINET Max Felser Bern Univers
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45 LIN-Bus Andreas Grzemba Universi
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47 SafetyLon Thomas Novak SWARCO Fu
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48 Wireless Local Area Networks Hen
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Wireless Local Area Networks 48-3 T
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50 ZigBee Stefan Mahlknecht Vienna
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ZigBee 50-3 Wireless communication
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51 6LoWPAN: IP for Wireless Sensor
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52 WiMAX in Industry Milos Manic Un
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53 WirelessHART, ISA100.11a, and OC
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TABLE 54.1 Characteristics of Some
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FIGURE 55.1 CPU IN-Log IN-Num OUT-l
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START FIGURE 55.3 COLD WARM STOP E_
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START RUNSTOP COLD INIT INITO WARM
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FIGURE 55.9 Different addresses of
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EtherNet FIGURE 55.11 Device: LED1
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60 User Datagram Protocol—UDP Ale
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61 Transmission Control Protocol—
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65 Semantic Web Services for Manufa
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V Outlook 67 Trends and Challenges
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68 Processing Data in Complex Commu
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