Energy-efficient transmission scheme of JPEG images over visual sensor networks

Proceedings - Conference on Local Computer Networks, LCN

Volumn , Issue , 2008, Pages 639-647

  Mammeri, Abdelhamid ^a   Khoumsi, Ahmed ^a   Ziou, Djemel ^a   Hadjou, Brahim ^a  

^a UNIVERSITÉ DE SHERBROOKE   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

BUILDING MATERIALS; CLUTCHES; COMPACTION; COMPUTER NETWORKS; COMPUTERS; COSINE TRANSFORMS; DISCRETE COSINE TRANSFORMS; ELECTRIC FAULT LOCATION; ELECTRIC POWER TRANSMISSION; ENERGY EFFICIENCY; IMAGE ENHANCEMENT; IMAGE QUALITY; IMAGE SENSORS; INTERNET; SENSORS; TRANSMISSIONS;

COMPRESSION STANDARDS; CONSTRAINT PROBLEMS; DCT COEFFICIENTS; ENERGY COMPACTION PROPERTIES; ENERGY CONSUMPTIONS; ENERGY-EFFICIENT; GLOBAL METHODS; JPEG IMAGES; LOCAL METHODS; OPTIMAL SIZES; PRIORITY QUEUING; REGIONS OF INTERESTS; RESIDUAL ENERGIES; TRANSMISSION RELIABILITIES; TRANSMISSION SCHEMES; USER INTERESTS; VISUAL SENSOR NETWORKS; VISUAL SENSORS;

SENSOR NETWORKS;

EID: 58049083055     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/LCN.2008.4664259     Document Type: Conference Paper

References (22)

1. C. Chiasserini and E. Magli. Energy consumption and image quality in wireless video-surveillance networks. Proceedings of 13th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), September, 2002.
2. G. Pekhteryev, Z. Sahinoglu, P. Orlik, and G. Bhatti. Image transmission over IEEE 802.15.4 and ZigBee networks. Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS), May, 2005.
3. Taylor, C.N. Dey, S. : Adaptive image compression for wireless multimedia communication, pp.1925-1929. IEEE International Conference on Communication, June, 2001.
4. J. Bracamonte and M. Ansorge and F. Pellandini: VLSI systems for image compression. A power-consumption/image resolution trade-off approach. Proceedings of the SPIE, pp. 591-596, USA, October, 1996.
5. A. Mammeri, A. Khoumsi, D. Ziou and B. Hadjou, Modeling and Adapting JPEG to the Energy Requirements of Visual Sensor Networks. International IEEE Workshop on Sensor Networks (SN). Virgin Islands, USA, August, 2008. Avalaible at http://www.gel.usherbrooke.ca/khoumsi/Research/Public/SNICCCN08.pdf
6. A. Mammeri, A. Khoumsi, D. Ziou and B. Hadjou, Energy-Aware JPEG for Visual Sensor Networks. MCSEAI conference, Oran, Algeria, April, 2008. Avalaible at http://www.gel.usherbrooke.ca/khoumsi/Research/Public/MCSEAI08.pdf
7. LIU Shao-Han and LIN Jzau-Sheng, Vector quantization in DCT domain using fuzzy possibilistic c-means based on penalized and compensated. Pattern recognition Journal. vol, 35, Nr 10, pp 2201-2211, April, 2002.
8. Kenneth P. Burnham and David R. Anderson, Model selection and multimodel inference: A practical information - Theoretic Approach. Springer edition, 2002.
9. T. Eude, R. Grisel, H. Cherifi and R. Debrie, On the distribution of the DCT coefficients. IEEE International Conference on Acoustics, Speech, and Signal Processing, April,1994.
10. S. Floyd and V. Jacobson, Link Sharing and Resource Management Models for Packet Networks. IEEE/ACM Transactions on Networking, Vol. 3 No. 4 pp. 365-386, August, 1995.
11. K. Holger and W. Andreas, Protocols ans architectures for Wirless Sensor Networks. Wiley edition, 2005.
12. T. He, J.A. Stankovic and C. Lu and T.F. Abdelzaher, A Spatiotemporal Communication Protocol for Wireless Sensor Networks, IEEE Transactions on Parallel and Distributed Systems, 16(10): 995-1006, October, 2005.
13. Chalermek Intanagonwiwat, Ramesh Govindan and Deborah Estrin, Directed diffusion: A scalable and robust communication paradigm for sensor networks. In Proceedings of the Sixth Annual International Conference on Mobile Computing and Networking (MobiCOM '00), Boston, Massachussetts, August, 2000.
14. 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, ACM SENSYS, November, 2005.
15. Crossbow Technology. http://www.xbow.com
16. Haowen C., Mark L., Adrian P.: Using Clustering Information for Sensor Network Localization. The International Conference on Distributed Computing in Sensor Systems, DCOSS 2005.
17. Haapola, J. Shelby, Z. Pomalaza-Raez, C. Mhnen, P.: Multi-hop Medium Access Control for WSNs: An Energy Analysis Model. Journal on Wireless Communications and Networking, pp. 523-530, vol 4, N 6, 2005.
18. Rappaport, T. S. : Wireless Communications: Principles and Practice. IEEE Press 1996.
19. ITU T.81. www.w3.org/Graphics/JPEG/itu-t81.pdf
20. E. Shih, et al. :Physical layer driven protocol and algorithm design for energy-efficient wireless sensor networks. Proceedings of MOBICOM-01, ACM Press, pp. 272-287 2001.
21. ATmega128(L) summary. www.atmel.com
22. Lecuire V., Duran-Faundez C., Krommenacker N.: Energy-Efficient Transmission of Wavelet-Based Images in Wireless Sensor Networks. EURASIP Journal on Image and Video Processing, November, 2007.