CFP last date
20 May 2024
Reseach Article

Modification of View Field in Wireless Multimedia Sensor Networks

by Jingjing Xiao, Hongyu Ren, Wusheng Luo
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 98 - Number 5
Year of Publication: 2014
Authors: Jingjing Xiao, Hongyu Ren, Wusheng Luo

Jingjing Xiao, Hongyu Ren, Wusheng Luo . Modification of View Field in Wireless Multimedia Sensor Networks. International Journal of Computer Applications. 98, 5 ( July 2014), 7-14. DOI=10.5120/17177-7272

@article{ 10.5120/17177-7272,
author = { Jingjing Xiao, Hongyu Ren, Wusheng Luo },
title = { Modification of View Field in Wireless Multimedia Sensor Networks },
journal = { International Journal of Computer Applications },
issue_date = { July 2014 },
volume = { 98 },
number = { 5 },
month = { July },
year = { 2014 },
issn = { 0975-8887 },
pages = { 7-14 },
numpages = {9},
url = { },
doi = { 10.5120/17177-7272 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T22:25:23.600347+05:30
%A Jingjing Xiao
%A Hongyu Ren
%A Wusheng Luo
%T Modification of View Field in Wireless Multimedia Sensor Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 98
%N 5
%P 7-14
%D 2014
%I Foundation of Computer Science (FCS), NY, USA

Numerous micro-devices are interconnected in Wireless Multimedia Sensor Networks (WMSNs), such as surveillance. While due to view field of these multimedia sensors is oriented, blind spots caused by an occlusion is unavoidable, which will impact on surveillance service quality. For reducing this affection and figuring out a real sensing area, detailed formulas are given in this paper to compute real points. Four steps are designed to detect salient area, which act as potential obstacles. After that, an algorithm utilizing rectangle to approximate the detected areas is proposed, which consider hemline as an intersecting line between earth and objects. Then using this intersecting line as a benchmark, a maximum prism container is employed to find out the blind area. Experiments show that even for monocular image, this algorithm can efficiently find out the real view field of nodes. In addition, by considering physical obstacles in wireless multimedia sensors, this paper contributes to 3D field of view study.

  1. I. F. Akyildiz, T. Melodia, and K. R. Chowdhury, "A survey on wireless multimedia sensor networks," Comput. Netw. (Elsevier), vol. 51, no. 4, pp. 921–960, Mar. 2007.
  2. Tezcan, N. , Wang, W. Self-Orienting Wireless Multimedia Sensor Networks for Maximizing Multimedia Coverage. In Proceedings of IEEE International Conference on Communications, ICC '08, Beijing, China, May 19-23. pp. 2206–2210. 2008;
  3. C. Sha, R. Wang, H. Huang, and L. Sun, "An energy-saving strategy based on sleep scheduling and block transmission for wireless multimedia sensor networks," International Journal of Pervasive Computing and Communications, vol. 6, no. 2, pp. 1742-7371. 2010.
  4. Islam T. Almalkawi, M. G. Z. J. , Wireless Multimedia Sensor Networks: Current trends and Future Directions. Sensors, doi: 10. 3390/s100706662: pp. 6662 - 6717. 2010.
  5. R. Holman, J. Stanley, T. Ozkan-Haller, "Applying Video Sensor Networks to Nearshore Environment Monitoring," IEEE Pervasive Computing, vol 2, no. 4, pp. 14-21. 2003.
  6. Ma H D, Liu Y H. On coverage problems of directional sensor networks, Proceedings of the Int'l Conference on Mobile Ad-Hoc and Sensor Networks. LNCS 3794, Springer- Verlag, 721–731. 2005.
  7. S. Soro, W. B. Heinzelman, On the coverage problem in video-based wireless sensor networks, in: Proc. of the Second Workshop on Broadband Advanced Sensor Networks (BaseNets'05), 2005
  8. R. Dai, I. F. Akyildiz, A Spatial Correlation Model for Visual Information in Wireless Multimedia Sensor Networks. IEEE TRANSACTIONS ON MULTIMEDIA, 11(6): pp. 1148-1159. 2009.
  9. Ammari H M, Das S K. Critical Density for Coverage and Connectivity in Three-Dimensional Wireless Sensor Networks Using Continuum Percolation[J], IEEE Transactions On Parallel And Distributed Systems, 20, (6): 872–885, 2009
  10. Ma H D, Zhang X, Ming A N. A Coverage-Enhancing Method for 3D Directional Sensor Networks, Proceedings 28th IEEE Conference on Computer Communications (IEEE INFOCOM 2009), Rio de Janerro, Brazil, 19–25. pp: 2791–2795 April 2009.
  11. Kang C W, Chen J H. Multi-objective evolutionary optimization of 3D differentiated sensor network deployment. GECCO (Companion) pp: 2059–2064. 2009
  12. XIAO Fu, WANG Ru-chuan, SUN Li-juan, WU Shuai. Research on the three-dimensional perception model and coverage-enhancing algorithm for wireless multimedia sensor networks. The Journal of China Universities of Posts and Telecommunications, DOI: 10. 1016/S1005- 8885 (09) 60580- X: pp. 67-72. 2010.
  13. ] D. A. Forsyth and J. Ponce, Computer Vision: A Modern Approach. Englewood Cliffs, NJ: Prentice-Hall, 2002.
  14. N. Patwari, J. N. Ash, S. Kyperountas, A. O. Hero Iii, R. L. Moses, N. S. Correal, Locating the nodes: cooperative localization in wireless sensor networks, IEEE Signal Processing Magazine 22 (4) pp: 54-69. 2005
  15. L. Mihaylova, D. Angelova, D. R. Bull, C. N. Canagarajah, Localisation of Mobile Nodes in Wireless Sensor Networks with Time Correlated Measurement Noises, in IEEE Transactions on Mobile Computing. pp: 44-53. 2011.
  16. Wei Zhang, Q. M. Jonathan Wu, Guanghui Wang, Haibing Yin, An Adaptive Computational Model for Salient Object Detection, IEEE TRANSACTIONS ON MULTIMEDIA,12(4):300-316, JUNE 2010
  17. HUANG TieJun, TIAN YongHong, LI Jia, YU HaoNan, Salient region detection and segmentation for general object recognition and image understanding, Information Sciences, doi: 10. 1007/s11432-011-4487-1, Vol. 54 No. 12: 2461–2470, December,2011
  18. Q. Lu, W. Luo, J. Wang, B. Chen, "Low-complexity and energy efficient image compression scheme for wireless sensor networks", Computer Networks (Elsevier) 52 (13) (2008) 2594-2603.
  19. Z. Zuo, Q. Lu, W. Luo, "A two-hop clustered image transmission scheme for maximizing network lifetime in wireless multimedia sensor networks", Computer Communication (Elsevier) (2011), doi:10. 1016/j. comcom. 2011. 07. 009.
  20. J. Li, M. D. Levine, X. An , X. Xu and H. He, Visual Saliency Based on Scale-Space Analysis in the Frequency Domain. JOURNAL OF LATEX CLASS FILES, VOL. 6, NO. 1, JANUARY 2007.
Index Terms

Computer Science
Information Sciences


Multimedia sensor nodes Maximum prism container Field of view