Redundancy Elimination Techniques in Wireless Multimedia SensorNetworks: Survey | ||||
| Menoufia Journal of Electronic Engineering Research | ||||
| Article 15, Volume 27, Issue 1, January 2018, Page 279-316 | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/mjeer.2018.64675 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Reda. S. Tantawi1; Ahmed Salim1; Hagar Ramadan2 | ||||
| 1of Mathematics, Faculty of Science, Zagazig University, Zagazig, P. O. Box 44519, Egypt. | ||||
| 2Dept. 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 | ||||
| Wireless Multimedia Sensor Network (WMSN) | ||||
| References | ||||
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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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