ABSTRACT
Wireless sensor networks have been employed as an effective tool for a large set of monitoring applications, directly supporting applications not addressed by conventional Internet-based technologies. Camera-enabled sensors enhance the applicability of those networks allowing innovative visual monitoring functions. Sometimes, source nodes will perform real-time monitoring of an area of interest, where visual data packets will need to be transmitted with minimum delay. However, energy depletion of the nodes that compose the transmission paths may hamper the network capability to deliver packets with time constraints. In such context, we propose a delay-aware image transmission mechanism where the relevancies of DWT subbands are considered when forwarding packets to the next hop toward the sink. In fact, parts of DWT-based encoded visual data may have different relevancies for the reconstruction of the original visual information and those relevancies may be exploited when forwarding packets. In the proposed approach, high-relevant packets are forwarded through paths with lower average end-to-end delay, while the remaining packets flow through paths high higher delay, allowing that low-quality versions of the transmitted images reach the sink as soon as possible. Moreover, the best paths will need to relay fewer packets, potentially reducing energy consumption and enlarging their lifetime. We present simulation results to attest the benefits of the proposed mechanism.
- Akyildiz, I., Melodia, T., and Chowdhury, K. 2007. A survey on wireless multimedia sensor networks. Computer Networks, 51, 921--960. Google ScholarDigital Library
- Akyildiz, I., Su, W., Sankarasubramaniam, Y., and Cayirci, E. 2002. Wireless sensor networks: a survey. Computer Networks, 38, 4, 393--422. Google ScholarDigital Library
- Al-Karaki, J., and Kamal, A. 2004. Routing techniques in wireless sensor networks: a survey. IEEE Wireless Communications, 11, 6--28. Google ScholarDigital Library
- Almalkawi, I., Zapata, M., Al-Karaki, J., and Morillo-Pozo, J. 2010. Wireless multimedia sensor networks: current trends and future directions. Sensors, 10, 7, 6662--6717.Google ScholarCross Ref
- Antonini, M., Barlaud, M., Mathieu, P., and Daubechies, I. 1992. Image coding using wavelet transform. IEEE Transactions of Image Processing. 1, 2, 205--220. Google ScholarDigital Library
- Bajaber, F., and Awan, I. 201 Adaptive decentralized re-clustering protocol for wireless sensor networks. Journal of Computer and System Sciences. 77, 282--292. Google ScholarDigital Library
- Boukerche, A., Du, Y., Feng, J., and Pazzi, R. 2008. A reliable synchronous transport protocol for wireless image sensor networks. In Proceedings of IEEE ISCC, Marrakech, Morocco, 1083--1089.Google Scholar
- Charfi, Y., Canada, B., Wakamiya, N., and Murata, M. 2009. Challenging issues in visual sensor networks. IEEE Wireless Communications, 16, pp. 16, 44--49. Google ScholarDigital Library
- Costa, D., and Guedes, L. 2012. A discrete wavelet transform (DWT)-based energy-efficient selective retransmission mechanism for wireless image sensor networks. Journal of Sensor and Actuator Networks. 1, 1, 3--35, 2012.Google ScholarCross Ref
- Costa, D., and Guedes, L. 2011. A survey on multimedia-based cross-layer optimization in visual sensor networks. Sensors, 11, 5439--5468.Google ScholarCross Ref
- Costa, D., Guedes, L., Vasques, F., and Portugal, P. 2012. A routing mechanism based on the sensing relevancies of source nodes for time-critical applications in visual sensor networks. In Proceedings of IEEE Wireless Days. Dublin, Ireland.Google Scholar
- Dam, T. van., and Langendoe, K. 2003. An adaptive energy-efficient MAC protocol for wireless sensor networks. In Proceedings of SenSys, Los Angeles, USA, 1--10. Google ScholarDigital Library
- Ferriere, P. Progressive image transmission using discrete wavelet transforms. 2006. US Patent US7092118 B2.Google Scholar
- Heinzelman, W., Chandrakasan, A., and Balakrishnan, H. 2002. An application-specific protocol architecture for wireless microsensor networks. IEEE Transaction on Wireless Communications, 1, 4, 660--670. Google ScholarDigital Library
- Klima, M., Fliegel, K., Kekrt, D., Dostal, P., and Podgorny, R. 2009. Image quality and QoE in multimedia systems. In Proceedings of the International Conference Radioelektronika, Bratislava, Slovak Republic, pp. 3--10.Google Scholar
- Korhonen, J., and Wang, Y. 2005. Effect of packet size on loss rate and delay in wireless links. In Proceedings of IEEE WCNC, New Orleans, USA, 1608--1613..Google Scholar
- Lecuire, V., Duran-Faundez, C., and Krommenacker, N. 2008. Energy-efficient image transmission in sensor networks. International Journal of Sensor Networks, 4, 1, 37--47. Google ScholarDigital Library
- Lecuire, V., Duran-Faundez, C., and Krommenacker, N. 2007. Energy-efficient transmission of wavelet-based Images in wireless sensor networks. EURASIP Journal of Image Video Processing. 1--11. Google ScholarDigital Library
- Lee, J-H., Jun, I-B. 2010. Adaptive-compression based congestion control technique for wireless sensor networks. Sensors, 10, 4, 2919--2945.Google ScholarCross Ref
- Leelapornchai, P., and Stockhammer, T. 2002. Progressive image transmission applying multipath routing in mobile ad hoc networks. In Proceedings of the International Conference on Image Processing, Rochester, USA, 553--556.Google Scholar
- Qaisar, S., and Radha, H. 2009. Multipath multi-stream distributed reliable video delivery in wireless sensor networks. In Proceedings of the Conference on Information Sciences and Systems. Baltimore, USA, 207--212.Google Scholar
- Shu, L., Zhou, Z.B., Hauswirth, M., Phuoc, D.L., Yu, P., and Zhang, L. 2007. Transmitting streaming data in wireless multimedia sensor networks with holes. In Proceedings of the International Conference on Mobile and Ubiquitous Multimedia, Oulu, Finland. Google ScholarDigital Library
- Sidhu, N., Uppal, R., Kaur, K., Kaler, R. 2009. Analysis of wavelet Le Gall 5/3 transform in image watermarking. International Journal of Recent Trends in Engineering, 2, 4, 224--227.Google Scholar
- Tselishchev, Y., Boulis, A., and Libman, L. 2010. Experiences and lessons from implementing a wireless sensor network MAC protocol in the Castalia simulator. In Proceedings of IEEE WCNC, Sydney, Australia.Google Scholar
- Wang, W., Peng, D., Wang, H., Sharif, H., Chen, H-H. 2008. Energy-constrained distortion reduction optimization for wavelet-based coded image transmission in wireless sensor networks. IEEE Transactions on Multimedia. 10, 6, 1169--1180. Google ScholarDigital Library
- Yick, J., Mukherjee, B., and Ghosal, D. 2008. Wireless sensor network survey. Computer Networks, 52, 12, 2292--2330. Google ScholarDigital Library
- Zhang, L., Hauswirth, M., Shu, L., Zhou, Z., Reynolds, V., and Han, G. 2008. Multi-priority multi-path selection for video streaming in wireless multimedia sensor networks. Lecture Notes in Computer Science, 5061, 439--452. Google ScholarDigital Library
Index Terms
- Delay-aware DWT-based image transmission in wireless visual sensor networks
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