Redundancy Elimination Techniques in Wireless Multimedia SensorNetworks: Survey

Document Type : Original Article

Authors

1 of Mathematics, Faculty of Science, Zagazig University, Zagazig, P. O. Box 44519, Egypt.

2 Dept. of Mathematics, Faculty of Science, Zagazig University, Zagazig, P. O. Box 44519, Egypt

Abstract

The evolution of Wireless Multimedia Sensor Networks(WMSNs) has been enhanced by the existence of cheap hardware such as microphones and (CMOS) cameras that can ubiquitously hold multimedia content from the entire environment. The spatial proximity of the different cameras (the overlapping Field of Views (FoVs)) causes a transmission of redundant data. Redundancy is the existence of data that is additional to the actual data and permits. A redundancy causes transmission of same data repeatedly. In WMSN, the redundant data elimination is a critical task to reduce the communication cost in terms of unnecessary energy wastage, bandwidth used and CPU processing. In this context, this paper proposed a brief discussion of the following techniques: i) Event monitoring based actuation algorithms which depends on activating the minimum number of cameras sensors while still maintaining the necessary coverage of the event of interest to reduce the possibility of multimedia data redundancy. ii) Cover set construction strategies for enabling efficient scheduling of nodes in mission-critical surveillance applications. iii) Clustering algorithms for WMSNs based on the overlapped field of views (FoVs) coverage areas.

Keywords

References

e-width: 0px; "> [1] J. Zheng, and A. Jamalipour, ”Wireless sensor networks a
networking perspective,” Wiley-IEEE Press, 489 Pages, 2009.
[2] A. A. Ahmed, ”A real-time routing protocol with adaptive traffic
shaping for multimedia streaming over next-generation of Wireless
Multimedia Sensor Networks,” Pervasive and Mobile Computing,
Accepted January 2017, In press.
[3] A. A. Khan , and H. Agrawal, ”A survey paper on applications and
challenges in wireless sensor network,” International Journal of
Innovative Research in Science, Engineering and Technology, vol.
5, no. 1, pp. 607-614, Januray 2016.
[4] A. Rathee, R. Singh, and A. Nandini, ”Wireless sensor network
challenges and possibilities,” Inter- national Journal of Computer auto; -webkit-text-stroke-width: 0px; Applications, vol. 140, no. 2, pp. 1-15, April 2016.
[5] R. JayeshRasal, S. V.Gumaste, and G. S. Deokate, ”Survey on
diff erent routing issues and design challenges in WSN,” International
Journal of Scientific Engineering and Applied Science (IJSEAS), vol.
1, no. 4, pp. 189-192, July 2015.
[6] E. Gurses, and O.B. Akan, ”Multimedia communication in wireless
sensor networks,” Ann. Telecom- mun, vol.60, no. 7, pp. 799-827,
2005.
[8] M. Rahimi, R. Baer, O. I. Iroezi, J. C. Garcia, J. Warrior, D. Estrin,
and M. Srivastava, ”Cyclops: in situ image sensing and interpretation in
wireless sensor networks,” In SenSys 05: Proceedings of the 3rd
international conference on Embedded networked sensor systems,
USA, 2005.
[9] S. Hengstler, D. Prashanth, S. Fong, and H. Agha jan, ”Mesheye: a
hybridresolution smart camera mote for applications in distributed
intelligent surveillance,” In: Information Processing in Sensor
Networks (IPSN-SPOTS), Cambridge, MA, April 2007.
[10] Crossbow IMote2. <http ://www.xbow.com >, Last access 5/7/2014.
[11] A. Rowe, A. Goode, D. Goel, and I. Nourbakhsh, ”Cmucam3: an
open programmable embedded vision sensor,” In Technical Report,
Carnegie Mellon Robotics Institute, 2007.
[12] U. M. Erdem, and S. Sclaroff , ”Optimal placement of cameras in
floorplans to satisfy task require- ments and cost constraints,” In
Proceedings of the 5th Workshop on Omnidirectional Vision, Camera
Networks and Non-Classical Cameras (Omnivis ’04), Prague, Czech
Republic, 2004.
[13] N. Tezcan, and W. Wang, ”Self-orienting wireless multimedia
sensor networks for occlusion-free viewpoints,” Computer
Networks(Elsevier), vol. 52, no. 13, pp. 2558-2567, 2008.
[14] H. ZainEldin, M. A. Elhosseini, and H. A. Ali, ”Image compression
algorithms in wireless multimedia sensor networks: A survey,” Ain
Shams Engineering Journal, vol. 6, no. 2, pp. 481-490, June 2015.
[15] I.F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E.Cayirci,
”Wireless sensor networks: a survey,” Computer Networks, vol. 38, pp.
393-422, 2002.
[16] K. Akkaya, M. Demirbas, R. S. Aygun, ”The impact of data auto; -webkit-text-stroke-width: 0px; aggregation on the performance of wireless sensor networks,” Wireless
Communications and Mobile Computing Journal, vol. 8, no. 2, PP.
171-193, 2008.
[17] Z. Xue, K. Loo, J. Cosmas, and P. Yip, ”Distributed video coding
in wireless multimedia sensor network for multimedia broadcasting,”
WSEAS Transactions on Communications, vol. 7, no. 5, PP.
418-427, 2008.
[18] Z. Weia, S.Lijuan, G. Jian, and L. Linfeng, ”Image
compression scheme based on PCA for wireless multimedia sensor
networks,” Journal of China Universities of Posts and
Telecommunica- tions(Elsevier), vol. 23, no. 1, pp. 22-30, February
2016.
[19] T. Melodia, I. F. Akyildiz, ”Cross-layer quality of service support for
uwb wireless multimedia sensor networks,” In IEEE INFOCOM, Mini
Conference, Phoenix, AZ, April 2008.
[20] L. Savidge, H. Lee, H. Agha jan, A. Goldsmith, ”Qos-based
geographic routing for event-driven image sensor networks,” In:
Broadband Advanced Sensor Networks (BaseNets), Boston, MA,
October 2005.
[21] J. O’Rourke, ”Open problem from art gallery solved,” International
Journal of Computational Ge- ometry and Applications, vol. 2, no. 2,
PP. 215-217, 1992.
[22] E. Yildiz, K. Akkaya, and E.Sisikoglu, ”Optimal camera placement
for providing angular coverage in wireless video sensor networks,”
IEEE Transactions on Computers, vol. 63, no. 7, PP. 1812-1825,
2014.
[23] N. Tezcan, and W. Wang, ”Self-orienting wireless multimedia
sensor networks for occlusion-free viewpoints,” Computer
Networks(Elsevier), vol. 52, pp. 2558-2567, 2008.
[24] N. Bendimerad, and B. Kechar,” Rotational wireless video sensor
networks with obstacle avoidance capability for improving disaster area
coverage,” Journal Information Process System, vol.11, no.4, pp.
509-527, December 2015.
[25] S. B. B. Priyadarshini, and S.Panigrahi, ”Centralised cum
subcentralised scheme for multi-event coverage and optimum camera
activation in wireless multimedia sensor networks,” IET Networks,

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