Abstract
In recent years, surveillance systems designed for public safety have become more intelligent by providing context awareness. Traditional surveillance camera systems require access to energy and networking infrastructure in order to operate and to transmit the recorded video data. Since such requirements can increase the costs incurred when installing and maintaining surveillance systems, a wireless surveillance camera system is hereby introduced. The system can operate with low power consumption and also provides network connectivity. The battery life of the system is improved by separating the system into master and slave subsystems. The master subsystem provides Wi-Fi connectivity and records video while the slave-subsystem provides low-power event detection with ZigBee connectivity. The system uses Wi-Fi mesh networks to transmit video data and ZigBee networks to define the network topology and to synchronize multiple surveillance camera systems. Time synchronization is a fundamental issue for distributed surveillance camera systems, so this chapter details a method to synchronize time among multiple surveillance camera systems by using ZigBee radio communications.
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References
Raty TD (2010) Survey on contemporary remote surveillance systems for public safety. IEEE Trans Syst Man Cybern Part C Appl Rev 40(5):493–515
Huang G, He J, Ding Z (2008) Wireless video-based sensor networks for surveillance of residential districts. Lect Note Comput Sci 4976:154–165
Aruba networks (2011) White paper: using wireless mesh networks for video surveillance version: 1. http://www.arubanetworks.com
Atzori L, Iera A, Morabito G (2010) The internet of things: a survey. Comput Netw 54:2787–2805
Cho H, Baek Y, Kyung C-M (2014) Wireless video sensor network platform and its application for public safety. In: IEEE international conference on embedded software and systems, Aug 2014
Akyildiz IF, Su W, Sankarasubramaniam Y, Cayirci E (2002) Wireless sensor networks: a survey. Comput Netw 38:393–422
Akyildiz IF, Melodia T, Chowdhury KR (2006) A survey on wireless multimedia sensor networks. Int J Comput Telecommun Netw 51(4):921–960
Akyildiz IF, Melodia T, Chowdhury KR (2007) Wireless multimedia sensor networks: survey. IEEE Wirel Commun 14(6):32–39
Karlsson J (2010) Wireless video sensor network and its applications in digital zoo. Doctoral thesis of UMEA University
Firetide Inc. (2014) Hot port mesh. http://www.firetide.com
Strix Systems (2009) White paper: wireless mesh networks for distributed video surveillance. http://www.strixsystems.com
Raniwala A, Chiueh T (2005) Architecture and algorithms for an IEEE 802.11-based multi-channel wireless mesh network. In: INFOCOM 2005, pp. 2223–2234
Yang S-C, Yoon M-K, Kim D-H, Kim J-D (2010) Implementation of a multi-radio, multi-hop wireless mesh network using dynamic WDS based link layer routing. In: International conference on information technology: new generations (ITNG)
Freescale (2014) i.MX 6 datasheet. http://www.freescale.com
OpenWRT (2014) OpenWRT documentation. http://openwrt.org
Ubiquiti Networks (2014) SR71 datasheet. http://www.ubnt.com
STMicroelectronics (2014) STM32F407 datasheet. http://www.st.com
FreeRTOS (2014) http://freertos.org
Open Mesh (2014) B.A.T.M.A.N. advanced documentation overview. http://www.open-mesh.org
Mills DL (1992) Network time protocol (version 3) specification, implementation and analysis, RFC 1305
IEEE 1588-2008 (2008) IEEE standard for a precision clock synchronization protocol for networked measurement and control systems. IEEE Instrumentation and Measurement Society
Yicka J, Mukherjeea B, Ghosal D (2008) Wireless sensor network survey. Comput Netw 52:2292–2330
Dong J, Gu L, Zheng C (2011) Research on fault-tolerant strategy of time synchronization for industrial wireless sensor network. In: Proceedings of the 3rd international conference on measuring technology and mechatronics automation, Shanghai, China, pp 1146–1149, 6–7 Jan 2011
Rhee IK, Lee J, Kim J, Serpedin E, Wu YC (2009) Clock synchronization in wireless sensor networks: an overview. Sensors 9:56–85
Elson J, Romer K (2003) Wireless sensor networks: a new regime for time synchronization. ACM Comput Commun Rev 33:149–154
Sundararaman B, Buy U, Kshemkalyani AD (2005) Clock synchronization for wireless sensor networks: a survey. Ad Hoc Netw 3:281–323
Sichitiu ML, Veerarittiphan C (2003) Simple, accurate time synchronization for wireless sensor networks. In: Proceedings of the 2003 IEEE wireless communications and networking, New Orleans, LA, USA, 20 March 2003
Cox D, Jovanov E, Milenkovic A (2005) Time synchronization for Zigbee networks. In: Proceedings of the 37th annual southeastern symposium on system theory, Tuskegee, AL, USA, pp 135–138, March 2005
Noh K, Serpedin E, Qaraqe K (2008) A new approach for time synchronization in wireless sensor networks: pairwise broadcast synchronization. IEEE Trans Wirel Commun 7:3318–3322
Akyildiz IF, Su W, Sankarasubramaniam Y, Cayirci E (2002) Wireless sensor networks: a survey. Comput Netw 38:393–422
Lim H, Kim C (2001) Flooding in wireless ad hoc networks. Comput Commun 24:353–363
Maroti M, Kusy B, Simon G, Ledeczi A (2004) The flooding time synchronization protocol. In: Proceedings of the 2nd international conference on embedded networked sensor systems, SenSys 2004, Baltimore, MD, USA, pp 39–49, 3–5 Nov 2004
Elson J, Girod L,. Estrin L (2002) Fine-grained network time synchronization using reference broadcasts. In: Proceedings of the fifth symposium on operating systems design and implementation (OSDI), Boston, MA, USA, pp 147–163, 9–11 Dec 2002
Palchaudhuri S, Saha AK, Johnsin DB (2004) Adaptive clock synchronization in sensor networks. In: Proceedings of the international symposium on information processing in sensor networks, Berkeley, CA, USA, 26–27 April 2004
Ganeriwal S, Kumar R, Srivastava MB (2003) Timing-sync protocol for sensor networks. In: Proceedings of the 1st international conference on embedded networked sensor systems, SenSys 2003, Los Angeles, CA, USA, pp 138–149, 5–7 Nov 2003
Dai H, Han R (2004) Tsync: A lightweight bidirectional time synchronization service for wireless sensor networks. ACM SIGMOBILE Mob Comput Commun Rev 2004(8):125–139
Greunen J, Rabaey J (2003) Lightweight time synchronization for sensor networks. In: Proceedings of the second ACM international conference on wireless sensor networks and applications, WSNA 2003, San Diego, CA, USA, pp 11–19, 19 Sept 2003
Ye Q, Zhang Y, Cheng L (2005) A study on the optimal time synchronization accuracy in wireless sensor networks. J Comput Netw 48:549–566
Weibel H, Bechaz D (2004) Implementation and performance of time stamping techniques. In: Proceedings of the 2004 conference on IEEE 1588, Gaithersburg, MD, USA, 27–29 Sep 2004
Cho H, Jung J, Cho B, Jin Y, Lee SW, Baek Y (2009) Precision time synchronization using IEEE 1588 for wireless sensor networks. In: Proceedings of the IEEE international conference on computational science and engineering, Vancouver, BC, Canada, pp 579–586, 29–31 Aug 2009
Texas Instrument (2013) CC2420 datasheet. http://www.ti.com
Ren F, Lin C, Liu F (2008) Self-correcting time synchronization using reference broadcast in wireless sensor network. IEEE Wirel Commun 15:79–85
Song P, Shan X, Li X, Qi G (2009) Highly precise time synchronization protocol for ZigBee networks. In: Proceedings of the IEEE/ASME international conference on advanced intelligent mechatronics 2009 (AIM2009), Singapore, 14–17 July 2009
Welch G, Bishop G (2006) An introduction to the Kalman filter, TR 95-041, University of North Carolina
Acknowledgments
This work is supported by the Center for Integrated Smart Sensors funded by the Ministry of Science, ICT and Future Planning as the Global Frontier Project.
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Cho, H. (2016). Time Synchronization for Multi-hop Surveillance Camera Systems. In: Kyung, CM. (eds) Theory and Applications of Smart Cameras. KAIST Research Series. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-9987-4_13
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DOI: https://doi.org/10.1007/978-94-017-9987-4_13
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