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Reseach Article

Article:Multimedia Data Navigation in Wireless Sensor Networks

by Rakesh Poonia, Dharm Singh, Alok Kumar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 31 - Number 10
Year of Publication: 2011
Authors: Rakesh Poonia, Dharm Singh, Alok Kumar

Rakesh Poonia, Dharm Singh, Alok Kumar . Article:Multimedia Data Navigation in Wireless Sensor Networks. International Journal of Computer Applications. 31, 10 ( October 2011), 19-25. DOI=10.5120/3861-5388

@article{ 10.5120/3861-5388,
author = { Rakesh Poonia, Dharm Singh, Alok Kumar },
title = { Article:Multimedia Data Navigation in Wireless Sensor Networks },
journal = { International Journal of Computer Applications },
issue_date = { October 2011 },
volume = { 31 },
number = { 10 },
month = { October },
year = { 2011 },
issn = { 0975-8887 },
pages = { 19-25 },
numpages = {9},
url = { },
doi = { 10.5120/3861-5388 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T20:17:59.213695+05:30
%A Rakesh Poonia
%A Dharm Singh
%A Alok Kumar
%T Article:Multimedia Data Navigation in Wireless Sensor Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 31
%N 10
%P 19-25
%D 2011
%I Foundation of Computer Science (FCS), NY, USA

Wireless Multimedia Sensor Networks (WMSNs) is simply a wireless sensor network supporting multimedia traffic by deployment of data sensors and multimedia sensors as the nodes. The requirements of the WMSN is much different and specific as compared to other genera wireless networks, hence requires more specific protocols designed for each layers. These layers need to support the issues that multimedia traffic brings to the sensor networks, e.g. QoS, energy, MAC layer, bandwidth, etc. However it doesn’t support the cause that these protocols are being treated as independent identities, as WMSN requires a cross-layer optimization of these protocols for proper functioning. With the assumption that most of the multimedia traffic consists of real-time video sensing and transmission, several solutions have been released, proposed and still are in research.

  1. A. Aaron, S. Rane, R. Zhang, and B. Girod, “Wyner-Ziv coding for video: Applications to compression and error resilience,” in Proc. IEEE Data Compression Conference, Snowbird, UT, pp. 93102, March 2003.
  2. M.I. Alghamdi, T. Xie, X. Qin, PARM: A power-aware message scheduling algorithm for real-time wireless networks, in: Proc. of ACM Workshop on Wireless Multimedia Networking and PerformanceModeling (WMuNeP), Montreal, Que., Canada, 2005, pp. 86–92.
  3. O. Akan, I.F. Akyildiz, Event-to-sink reliable transport in wireless sensor networks, IEEE/ACM Trans. Network 13 (5) (2005) 1003–1017.
  4. K. Akkaya, M. Younis, An energy-aware QoS routing protocol for wireless sensor networks, in: Proc. of Intl. Conf. on Distributed Computing Systems Workshops (ICSDSW), Washington, DC, 2003.
  5. K. Akkaya, M. Younis, A survey of routing protocols in wireless sensor networks, Ad Hoc Network (Elsevier) 3 (3) (2005) 325–349.
  6. I. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci. “Wireless sensor networks: A survey in Computer Networks”, 38(4):393–422, December 2002.
  7. I.F. Akyildiz, T. Melodia, K.R. Chowdhury, “A Survey on Wireless Multimedia Sensor Networks”, in Computer Networks, 51(4), pp. 921-960, 2007.
  8. M. Chu, J.E. Reich, F. Zhao, Distributed attention for large video sensor networks, in: Proc. of the Institute of Defence and Strategic Studies (IDSS), London, UK, February 2004.
  9. J. Capone, I. Stavrakakis, Delivering QoS requirements to traffic with diverse delay tolerances in a TDMA environment, IEEE/ACM Trans. Network. 7 (1) (1999) 75–87.
  10. T.V. Dam, K. Langendoen, An adaptive energy-efficient MAC protocol for wireless sensor networks, in: Proc. of the ACM SenSys, Los Angeles, CA, USA, November 2003.
  11. Y. Eisenberg, C.E. Luna, T.N. Pappas, R. Berry, A.K. Katsaggelos, Joint source coding and transmission power management for energy efficient wireless video communications, IEEE Trans. Circ. Syst. Video Technol. 12 (6) (2002) 411–424.
  12. E. Felemban, C.-G. Lee, E. Ekici, MMSPEED: Multipath multi-SPEED protocol for QoS guarantee of reliability and timeliness in wireless sensor networks, IEEE Trans. Mobile Comput. 5 (6) (2006) 738–754.
  13. N. Gehrig and P. L. Dragotti, “Distributed Compression in Camera Sensor Networks,” in Proc. IEEE International Workshop on Multimedia Signal Processing (MMSP), Siena, Italy, September 2004.
  14. B. Girod, M. Kalman, Y. Liang, R. Zhang, Advances in channel-adaptive video streaming, Wireless Commun. Mobile Comput. 2 (6) (2002) 549–552.
  15. B. Girod, A. Aaron, S. Rane, D. Rebollo-Monedero, Distributed video coding, Proc. IEEE 93 (1) (2005) 71–83.
  16. E. Gurses, O.B. Akan, “Multimedia Communication in Wireless Sensor Networks”, in Annals of Telecomm., 60(7-8), pp. 799-827, July, 2005
  17. A. Kumar, and S. Varma, “Geographic Node disjoint Path Routing for Wireless Sensor Networks” IEEE Sensors Journal, 10(6), June 2010.
  18. D. Kundur, T. Zourntos, N.J. Mathai, Lightweight security principles for distributed multimedia based sensor networks, in: Proc. of Asilomar Conf. on Signals, Systems and Computers, November 2004, pp. 368–372.
  19. Q. Li, D. Rus, Global clock synchronization in sensor networks, IEEE Trans. Comput. 55 (2) (2006) 214–226.
  20. T.D.C. Little, A framework for synchronous delivery of time-dependent multimedia data, J. Multimedia Syst. 1 (2) (1993) 87–94.
  21. R. Merz, J. Widmer, J.-Y.L. Boudec, B. Radunovic, A joint PHY/MAC architecture for low-radiated power TH-UWB wireless ad-hoc networks, Wireless Commun. Mobile Comput. J. 5 (5) (2005) 567–580.
  22. S. Misra, M. Reisslein, G. Xue, “A survey of multimedia streaming in wireless sensor networks.” In IEEE Communications Surveys and Tutorials, 2008.
  23. M. Perillo, W. Heinzelman, Sensor management policies to provide application QoS, Ad Hoc Networks (Elsevier) 1 (2– 3) (2003) 235–246.
  24. S. Pudlewski, T. Melodia, A. Prasanna “Compressed-sensing-enabled Video Streaming for Wireless Multimedia Sensor Networks,” IEEE Transactions on Mobile Computing, 2011
  25. M. Rahimi, S. Ahmadian, D. Zats, J. Garcia, M. Srivastava, D. Estrin, Deep vision: Experiments in exploiting vision in wireless sensor networks, submitted for publication, 2006.
  26. E. Setton, T. Yoo, X. Zhu, A. Goldsmith, B. Girod, Crosslayer design of ad hoc networks for real-time video streaming, IEEE Wireless Commun. 12 (4) (2005) 59–65.
  27. D. Slepian, J. Wolf, Noiseless coding of correlated information sources, IEEE Trans. Informat. Theory 19 (4) (1973) 471–480.
  28. A. Wyner, J. Ziv, The rate-distortion function for source coding with side information at the decoder, IEEE Trans. Informat. Theory 22 (January) (1976) 1–10.
  29. L. Yang, G.B. Giannakis, Ultra-wideband communications: an idea whose time has come, IEEE Signal Process. Mag. 3 (6) (2004) 26–54.
  30. W. Ye, J. Heidemann, D. Estrin, Medium access control with coordinated, adaptive sleeping for wireless sensor networks, IEEE Trans. Network. 12 (3) (2004) 493–506.
  31. M. Zuniga, B. Krishnamachari, Integrating future largescale sensor networks with the Internet, USC, CS, TR, CS 03-792, 2003.
Index Terms

Computer Science
Information Sciences


Wireless Sensor Networks Multimedia Communications Cross-layer protocol design Quality of service