Multimedia Tools and Applications

, Volume 60, Issue 3, pp 689–726

A survey of visual sensor network platforms

  • Bulent Tavli
  • Kemal Bicakci
  • Ruken Zilan
  • Jose M. Barcelo-Ordinas
Article

Abstract

Recent developments in low-cost CMOS cameras have created the opportunity of bringing imaging capabilities to sensor networks. Various visual sensor platforms have been developed with the aim of integrating visual data to wireless sensor applications. The objective of this article is to survey current visual sensor platforms according to in-network processing and compression/coding techniques together with their targeted applications. Characteristics of these platforms such as level of integration, data processing hardware, energy dissipation, radios and operating systems are also explored and discussed.

Keywords

Visual sensor networks Embedded systems Vision platforms Image acquisition System integration IEEE 802.15.4 IEEE 802.11 Embedded system interfaces 

References

  1. 1.
  2. 2.
    Bajwa W, Haupt J, Sayeed A, Nowak R (2006) Compressive wireless sensing. In Proc. International Conference on Information processing in Sensor NetworksGoogle Scholar
  3. 3.
    Boice J, Lu X, Margi C, Stanek G, Zhang G, Manduchi R, Obraczka K (2006) Meerkats: a power-aware, self-managing wireless camera network for wide area monitoring. In: Proc. Workshop on Distributed Smart CamerasGoogle Scholar
  4. 4.
    Candes EJ (2006) Compressive sampling. In: Proc. International Congress of MathematiciansGoogle Scholar
  5. 5.
    Charfi Y, Wakamiya N, Murata M (2009) Challenging issues in visual sensor networks. IEEE Wirel Commun 16:44–49CrossRefGoogle Scholar
  6. 6.
    Chen P, Ahammed P, Boyer C, Huang S, Lin L, Lobaton E, Meingast M, Oh S, Wang S, Yan P, Yang AY, Yeo C, Chang LC, Tygar D, Sastry SS (2008) CITRIC: a low-bandwidth wireless camera network platform. In: Proc. International Conference on Distributed Smart Cameras, pp 1–10Google Scholar
  7. 7.
    Chong CY, Kumar SP (2003) Sensor networks: evolution, opportunities, and challenges. Proc IEEE 91:1247–1256CrossRefGoogle Scholar
  8. 8.
    Chou PA, Wu Y (2007) Network coding for the internet and wireless networks. IEEE Signal Proc Mag 5:77–85CrossRefGoogle Scholar
  9. 9.
    Chu D, Lin K, Linares A, Nguyen G, Hellerstein JM (2006) Sdlib: a sensor network data and communications library for rapid and robust application development. In: Proc. International Conference on Information processing in Sensor Networks, pp 432–440Google Scholar
  10. 10.
    Crossbow Technology, http://www.xbow.com.
  11. 11.
    Donoho DL (2006) Compressed sensing. IEEE Trans Inf Theory 52:1289–1306MathSciNetCrossRefGoogle Scholar
  12. 12.
    Duarte MF, Wakin MB, Baron D, Baraniuk RG (2006) Universal distributed sensing via random projections. In: Proc. International Conference on Information processing in Sensor NetworksGoogle Scholar
  13. 13.
    Dunkels A, Gronvall B, Voigt T (2004) Contiki—a lightweight and flexible operating system for tiny networked sensors. In: Proc. IEEE International Conference on Local Computer Networks, pp 455–462Google Scholar
  14. 14.
    Feng WC, Kaiser E, Shea M, Feng WC, Baillif L (2005) Panoptes: scalable low-power video sensor networking technologies. Trans Multimed Comput Comm Appl 1:151–167CrossRefGoogle Scholar
  15. 15.
    Girod B, Aaron A, Rane S, Rebollo Monedero D (2005) Distributed video coding. Proc IEEE 93:71–83CrossRefGoogle Scholar
  16. 16.
    Guerrero-Zapata M, Zilan R, Barcelo Ordinas JM, Bicakci K, Tavli B (2010) The future of security in wireless multimedia sensor networks: a position paper. Telecommun Syst 45:77–91CrossRefGoogle Scholar
  17. 17.
    He Z, Wu D (2006) Resource allocation and performance analysis of wireless video sensors. IEEE Trans Circ Syst Video Tech 16:590–599CrossRefGoogle Scholar
  18. 18.
    Hengstler S, Aghajan H (2006) WiSNAP: a wireless image sensor network application platform. In: Proc. International Conference on Testbeds and Research Infrastructures for the Development of Networks and CommunitiesGoogle Scholar
  19. 19.
    Hengstler S, Prashanth D, Fong S, Aghajan H (2007) MeshEye: a hybrid-resolution smart camera mote for applications in distributed intelligent surveillance. In: Proc. International Conference on Information processing in Sensor NetworksGoogle Scholar
  20. 20.
    Hill J, Horton M, Kling R, Krishnamurthy L (2004) The platforms enabling wireless sensor networks. Commun ACM 47:41–46CrossRefGoogle Scholar
  21. 21.
    Hu W, Tan T, Wang L, Maybank S (2004) A survey on visual surveillance of object motion and behaviors. IEEE Trans Syst Man Cybern C Appl Rev 34:334–352CrossRefGoogle Scholar
  22. 22.
    Kang LW, Lu CS (2007) Multi-view distributed video coding with low-complexity inter-sensor communication over wireless video sensor networks. In: Proc. IEEE International Conference on Image Processing, vol. 3, pp 13–16Google Scholar
  23. 23.
    Kerhet A, Magno M, Leonardi F, Boni A, Benini L (2007) A low-power wireless video sensor node for distributed object detection. J Real-Time Image Process 2:331–342CrossRefGoogle Scholar
  24. 24.
    Kleihorst R, Abbo A, Schueler B, Danilin A (2007) Camera mote with a high-performance parallel processor for realtime frame-based video processing. In: Proc. International Conference on Distributed Smart Cameras, pp 109–116Google Scholar
  25. 25.
    Kulkarni P, Ganesan D, Shenoy P, Lu Q (2005) SensEye: a multi tier camera sensor network. In: Proc. ACM International Conference on Multimedia, pp 229–238Google Scholar
  26. 26.
    Lu Q, Luo W, Wang J, Chen B (2008) Low-complexity and energy efficient image compression scheme for wireless sensor networks. Comput Netw 52:2594–2603MATHCrossRefGoogle Scholar
  27. 27.
    Margi CB, Petkov V, Obraczka K, Manduchi R (2006) Characterizing the energy consumption in a visual sensor network testbed. In: Proc. International Conference on Testbeds and Research Infrastructures for the Development of Networks and CommunitiesGoogle Scholar
  28. 28.
  29. 29.
    Misra S, Reisslein M, Xue G (2008) A survey of multimedia streaming in wireless sensor networks. IEEE Commun Surv Tutorials 10:18–39CrossRefGoogle Scholar
  30. 30.
    Moteiv Corporation Tmote Sky Datasheet, http://www.snm.ethz.ch/Projects/TmoteSky.
  31. 31.
    Mottola L, Picco GP (2011) Programming wireless sensor networks: fundamental concepts and state of the art, (to appear in) ACM Computing SurveysGoogle Scholar
  32. 32.
    Murat UM, Sclaroff S (2004) Optimal placement of cameras in floorplans to satisfy task requirements and cost constraints. In: Proc. Workshop on Omnidirectional Vision, Camera Networks, and Non-classical CamerasGoogle Scholar
  33. 33.
    Nano-RK: A Wireless Sensor Networking Real-Time OS—http://www.nano-rk.org/
  34. 34.
    Nguyen H, Bhanu B, Patel A, Diaz R (2009) VideoWeb: design of a wireless camera network for real-time monitoring of activities. In: Proc. ACM/IEEE International Conference on Distributed Smart Cameras, pp 1–8Google Scholar
  35. 35.
  36. 36.
    Park C, Chou PH (2006) eCAM: ultra compact, high data-rate wireless sensor node with a miniature camera. In: Proc. ACM Conference on Embedded Networked Sensor Systems, pp 359–360Google Scholar
  37. 37.
    Pereira F, Torres L, Guillemot C, Ebrahimi T, Leonardi R, Klomp S (2008) Distributed video coding: selecting the most promising application scenarios. Signal Process: Image Commun 23:339–352CrossRefGoogle Scholar
  38. 38.
    Pottie GJ, Kaiser WJ (2000) Wireless integrated network sensors. Commun ACM 43:551–558CrossRefGoogle Scholar
  39. 39.
    Puri R, Majumdar A, Ishwar P, Ramchandran K (2006) Distributed video coding in wireless sensor networks. IEEE Signal Process Mag 23:94–106CrossRefGoogle Scholar
  40. 40.
    Rahimi M, Baer R, Iroezi OI, Garcia JC, Warrior J, Estrin D, Srivastava M (2005) Cyclops: in situ image sensing and interpretation in wireless sensor networks. In: Proc. ACM Conference on Embedded Networked Sensor Systems, pp 192–204Google Scholar
  41. 41.
    Rinner B, Winkler T, Schriebl W, Quaritsch M, Wolf W (2008) The evolution from single to pervasive smart cameras. In: Proc. International Conference on Distributed Smart Cameras, pp 1–10Google Scholar
  42. 42.
    Rowe A, Goal D, Rajkumar R (2007) FireFly Mosaic: a vision-enabled wireless sensor networking system. In Proc. IEEE International Real-Time Systems Symposium, pp 459–468Google Scholar
  43. 43.
    Rowe A, Goode A, Goel D, Nourbakhsh I (2007) CMUcam3: an open programmable embedded vision sensor. Carnegie Mellon Robotics Institute Technical Report, RI-TR-07-13Google Scholar
  44. 44.
    Soro S, Heinzelman W (2009) A survey of visual sensor networks. Adv Multimed 2009, Article ID 640386Google Scholar
  45. 45.
    SOS: An OS for mote-class wireless sensor networks—https://projects.nesl.ucla.edu/public/sos-2x/doc/
  46. 46.
    Tavli B, Bagci IE, Ceylan O (2010) Optimal data compression and forwarding in wireless sensor networks. IEEE Commun Lett 14:408–410CrossRefGoogle Scholar
  47. 47.
    Tavli B, Kayaalp M, Ceylan O, Bagci IE (2010) Data processing and communication strategies for lifetime optimization in wireless sensor networks. AEU Int J Electron Commun 64:992–998CrossRefGoogle Scholar
  48. 48.
    Teixeira T, Culurciello E, Park JH, Lymberopoulos D, Sweeney AB, Savvides A (2006) Address event imagers for sensor networks: evaluation and modeling. In Proc. International Conference on Information processing in Sensor Networks, pp 458–466Google Scholar
  49. 49.
    TinyOS: An OS for networked sensors—http://tinyos.millennium.berkeley.edu
  50. 50.
    Wang Z, Sheikh HR, Bovik AC (2003) Objective video quality assessment. In: Furht B, Marques O (eds) The handbook of video databases: design and applications. CRC Press, Boca RatonGoogle Scholar
  51. 51.
    Wang H, Wang W, Wu S, Hua K (2010) A survey on the cross-layer design for wireless multimedia sensor networks. Social Informatics and Telecommun Eng, LNCS 48:474–486CrossRefGoogle Scholar
  52. 52.
  53. 53.
    Wu M, Chen CW (2007) Collaborative image coding and transmission over wireless sensor networks. EURASIP Journal on Advances in Signal Processing, Article ID: 70481Google Scholar
  54. 54.
    Wu Y, Stankovic V, Xiong Z, Kung SY (2005) On practical design for joint distributed source and network coding. In: Proc. Workshop on Network Coding, Theory and ApplicationsGoogle Scholar
  55. 55.
    Yick J, Mukherjee B, Ghosal D (2008) Wireless sensor network survey. Comput Netw 52:2292–2330CrossRefGoogle Scholar
  56. 56.
    Yu Y, Krishnamachari B, Prasanna VK (2008) Data gathering with tunable compression in sensor networks. IEEE Trans Parallel Distr Syst 19:276–287CrossRefGoogle Scholar
  57. 57.
    Zhang M, Cai W (2010) Vision mesh: a novel video sensor networks platform for water conservancy engineering. In: Proc. IEEE International Conference on Computer Science and Information Technology, pp 106–109Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  • Bulent Tavli
    • 1
  • Kemal Bicakci
    • 1
  • Ruken Zilan
    • 2
  • Jose M. Barcelo-Ordinas
    • 2
  1. 1.TOBB University of Economics and TechnologyAnkaraTurkey
  2. 2.Technical University of CataloniaBarcelonaSpain

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