A Study on Energy Efficiency in Wireless Multimedia Sensor Networks

Abstract

Kablosuz Multimedya Algılayıcı Ağlar (KMAA), gerçek zamanlı multimedya verilerini (ses, resim ve video) birbirlerine veya baz istasyonuna aktaran ucuz donanıma sahip algılayıcıların oluşturduğu ağlardır. Tek bir cihazda ses ve görsel bilgi bir arada bulunabilir. Bunun yanında, KMAA'lar gerçek zamanlı veriyi birçok algılayıcıdan alarak depolayabilmektedirler. Ancak, gerek aktardıkları verilerin boyutlarının fazla olması gerekse kullanıldıkları bölgelere ulaşmanın zorluğundan dolayı KMAA’larda ağ ömrü ve enerji çok önemli bir gereksinim haline gelmiştir. Ayrıca, enerjinin verimli kullanılması ağın işlevini kaybetmemesi için de gereklidir. Bu çalışmada, KMAA’ların enerji sorununa literatürde nasıl çözümler getirildiği ve ne şekilde incelendiği ele alınmıştır. Öncelikle KMAA’ların kullanım alanları kısaca bahsedilmiş ve daha sonra da enerjinin verimli kullanılması ile ilgili çalışmalara yer verilmiştir

Keywords

• Kablosuz Multimedya Algılayıcı Ağlar
• Enerji Verimliliği

A Study on Energy Efficiency in Wireless Multimedia Sensor Networks

Abstract

Wireless Multimedia Sensor Networks (WMSNs)  consist of cheap sensors which transmit real time multimedia data to each other or to a sink. An audio and a visual information may exist in a single device. besides, WMSNs are able to store real time data after gathering it from several sensors. But since both the size of transferred data is big and the difficulties to reach the areas where WMSNs are used, network lifetime of WMSNs and their energy become a vital requirement. Using energy in an efficient way is also necessary for a network not to loose its functionality. What kind of solutions are considered in the literature for WMSNs and its analysis are given ın this paper. First, where the WMSNs are used is shortly mentioned and then, the studies related to energy efficiency are investigated.

Keywords

• Wireless Multimedia Sensor Networks
• Energy Efficiency
• A Study on Energy

References

1. I. Akyildiz, T. Melodia and K.R. Chowdhury, A Survey on Wireless Multimedia Sensor Networks, Computer Networks, 51 (2007) 921–960.
2. -
3. A. Mainwaring, D. Culler, J. Polastre, R. Szewczyk and J. Anderson, Wireless Sensor Neworks for Habitat Monitoring, Proceeding WSNA ’02 Proceeding of the first ACM international workshop on Wireless sensor Networks and applications, (2002), 88-97.
4. -
5. M. Rahimi, R. Baer, O.I. Iroezi, J.C. Garcia, J. Warrior, D. Estrin and M. Srivastava, Cyclops: in situim age sensing and interpretation in wireless sensor Networks, Proceedings of the ACM International Conference on Embedded Networked Sensor Systems (SenSys), (2005), 192–204.
6. -
7. M. Cesana, A. Redondi, N. Tiglao, A. Grilo, J.M. Barcelo-Ordinas, M. Alaei and P. Todorova, Real-time Multimedia Monitoring in Large-Scale Wireless Multimedia Sensor Networks: Research Challenges, 8th Euro-NF Conference on Next Generation Internet (NGI), (2012), 79 – 86.
8. -

9. I. Akyildiz, T. Melodia and R.C. Kaushik, Wireless Multimedia Sensor Networks: Applications Networks and Testbeds, Proceedings of the IEEE, (2008), 1588 - 1605.
10. -
11. B. Harjito and S. Han, Wireless Multimedia Sensor Networks Applications and Security Challenges, International Conference on Broadband, Wireless Computing, Communication and Applications, (2010), 842-846.
12. -
13. X. Wang, S. Wang, and D. Bi, Compacted Probabilistic Visual Target Classification with Committee Decision in Wireless Multimedia Sensor Network, IEEE Sensors Journal, (2009), 346 – 353.
14. -
15. D. Culler, D. Estrin and M. Srivastava, Overview of Sensor Networks, Guest Edition Introduction, (2004), 41 – 49.
16. -
17. J. Campbell, P.B. Gibbons, S. Nath, P. Pillai, S. Seshan, and R. Sukthankar, IrisNet: An internet-scale architecture for multimedia sensors, Proceeding of the 13th annual ACM international conferences on Multimedia, (2005), 81 – 88.
18. -
19. A. Milenkovic, C. Otto and E. Jovanov, Wireless sensor Networks for personal health monitoring: Issues and an implementation, Computer Communications Elsevier, (2006), 2521 - 2533
20. -
21. R. Holman, J. Stanley and T. Ozkan-Haller, Applying video sensor networks to nearshore environment monitoring, Pervasive Computing IEEE, 2, (2003), 14–21.
22. -
23. M. Erol-Kantarci and H.T. Mouftah, Wireless multimedia sensor and actor networks fort he next generation power grid, Ad Hoc Networks, 9 (2011), 542–551.
24. -
25. A.Milenkovic, C.Otto ve E.Jovanov, Wireless sensor networks for personel health monitoring: Issues and a implementation, Computer Communications, 29 (2006), 2521 - 2533.
26. -
27. B. Lu, T.G. Habetler, R.G. Harley ve J.A. Gutierrez, Applying wireless sensor networks in industrial plant energy management systems. Part I. A closed-loop scheme, Proceedings of the IEEE Sensors, Irvine, CA, USA, October 30-November 3, 2005.
28. -
29. H. Stockdon and R. Holman, Estimation of wave phase speed and nearshore bathymetry from video imager, J. Geophys. Res., 105 (C9) (2000) 22,015–22,033.
30. -
31. C. Sha, R.-C. Wang, H.-P. Huang, and L.-J. Sun, A type of healthcare system based on intelligent wireless sensor Networks, The Journal of China Universities of Posts and Telecommunications, vol. 17, supplement 1, pp. 30-39, 2010.
32. -
33. E. Sun, X. Shen and H. Chen, A low energy image compression and transmission in wireless multimedia sensor Networks, Advanced in Control Engineering and Information Science (2011), 3604–3610.
34. -
35. D. Culler, D. Estrin and M. Srivastava, Guest Editors' Introduction: Overview of sensor networks, IEEE Computer: Special Issue on Sensor Networks, vol. 37, no. 8, pp. 41-49, Aug. 2004.
36. -
37. S.M. Aziz, Energy efficient image transmission in wireless multimedia sensor networks, Communications Letters, IEEE, 17 (6 ), (2013), 1084 – 1087.
38. -
39. S.M. Aziz, and D.M. Pham, Efficient parallel architecture for multi-level forward discrete wavelet transform processors, Computers & Electrical Engineering, 38 (5), (2012), 1325 – 1335.
40. -
41. T. Mulugeta, L. Shu, M. Hauswirth, Z. Zhou and S. Nishio, Secures geographic forwarding in wireless multimedia sensor Networks,Information Processing Society of Japan, 51 (10), (2010), 1234-1246.
42. -
43. S.M. Aghdam, V. Heidari and M. Khansari, EECA: Energy Efficient Congestion Avoidance in Wireless Multimedia Sensor Network, Telecommunications (IST), 2012 Sixth International Symposium (2012), 656-661.
44. -
45. A. Abraham and G.N. Kumar, Energy Aware Priority-Based Secure Image Transmission in Wireless Sensor Networks, Wireless Communications, Networking and Mobile Computing
46. (WiCOM), 2012 8th International Conference on, (2012), 1-4.
47. -
48. R. Banerjee, M. Mobashir and S. Das, Bit Partial DCT- based energy efficient compression algorithm for wireless multimedia sensor network, Electronics, Computing and Communication Technologies (IEEE CONECCT), 2014 IEEE International Conference on (2014), pp. 1-6, 6-7 Jan. 2014.
49. -
50. H. Wang, D. Peng, W. Wang, H. Sharif, J. Wegiel, D. Nguyen, R. Bowne and C. Backhaus, Artıfıcıal Immune System Based Image Pattern Recognıtıon In Energy Effıcıent Wıreless Multımedıa Sensor Networks, Military Communications Conference, IEEE, (2008), 1-7.
51. -
52. K. Akalu, and K. Raimond, Design and performance analysis of energy efficient technique for wireless multimedia sensor networks using machine learning algorithm, Information and Communication Technologies (WICT), (2011) World Congress on, 1127 – 1132.
53. -
54. M. Cao, L. Yang, X. Chenand and N. Xiong, Node placement of linear wireless multimedia sensor Networks for maximum network lifetime, Lecture Notes in Computer Science (Springer), 5036,(2008), 373-383.
55. -
56. P. Pace, V. Loscri, E. Natalizio, and T. Razafindralambo, Nodes placement for reducing energy consumption in multimedia transmissions, Personal Indoor and Mobile Radio Communications (PIMRC), 2011 IEEE 22nd International Symposium on, (2011), 909 – 914.