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Cross-layer multipath routing scheme for wireless multimedia sensor network

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Abstract

Multimedia transmission in wireless multimedia sensor network requires restricted quality of services (QoS) conditions. Where the resource-constrained nature of wireless multimedia sensor network (WMSNs) adds more challenges. Such a situation demands a routing strategy that can ensure QoS transmission and exploit the resources efficiently. At present, the single-path routing techniques cannot guarantee the end to end QoS requirements of video transmission causing the video quality degradation. Besides, the traditional network layers stack is not suitable for dynamic wireless sensor network environment, where important information is required from nonadjacent layers to enhance the routing decision. This paper proposes the design of cross-layer multipath routing (CLMR) scheme in order to ensure QoS and minimize energy consumption. CLMR is designed to determine the suitable multipath and to send the multimedia packets according to their importance. The cross-layer design between application, network and physical layers is adapted to obtain optimal routing decision. The simulation results show that the CLMR has a significant improvement in performance as compared to other similar existing protocols, where the obtained average delay with high delivery is less than 150 ms, while the energy consumption is reduced, and the PSNR values for the tested clips are more than 30 db.

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References

  1. Charfi, Y., Wakamiya, N., & Murata, M. (2009). Challenging issues in visual sensor networks. Wireless Communications, IEEE, 16(2), 44–49.

    Article  Google Scholar 

  2. Akyildiz, I. F., Melodia, T., & Chowdury, K. R. (2007). Wireless multimedia sensor networks: A survey. Wireless Communications, IEEE, 14(6), 32–39.

    Article  Google Scholar 

  3. Waltenegus Dargie, C. P. (2010). Fundamentals of wireless sensor networks. In D. Y. P. Xuemin (Ed.), Wiley Series on Wireless Communications and Mobile Computing. United Kingdom: Wiley.

    Google Scholar 

  4. Lou, W., Liu, W., & Zhang, Y. (2006). Performance optimization using multipath routing in mobile ad hoc and wireless sensor networks, in combinatorial optimization. In M. Cheng, Y. Li, & D.-Z. Du (Eds.), Communication networks (pp. 117–146). Berlin: Springer.

    Google Scholar 

  5. Radi, M., et al. (2012). Multipath routing in wireless sensor networks: Survey and research challenges. Sensors, 12(1), 650.

    Article  Google Scholar 

  6. Jurdak, R., (2007) Wireless ad hoc and sensor networks a cross-layer design perspective. Springer series on signals and communication technology. Berlin: Springer. https://doi.org/10.1007/978-0-387-39023-9.

  7. Han, G., et al. (2015). Cross-layer optimized routing in wireless sensor networks with duty cycle and energy harvesting. Wireless Communications and Mobile Computing, 15(16), 1957–1981.

    Article  Google Scholar 

  8. Srivastava, V., & Motani, M. (2005). Cross-layer design: A survey and the road ahead. Communications Magazine, IEEE, 43(12), 112–119.

    Article  Google Scholar 

  9. Zytoune, O., Y. Fakhri, and D. Aboutajdine. An energy aware QoS routing protocol for wireless sensors network. In Multimedia computing and systems, 2009. ICMCS ‘09. International Conference on. 2009.

  10. Wang, H., et al. (2010). A survey on the cross-layer design for wireless multimedia sensor networks. In Y. Cai, et al. (Eds.), Mobile wireless middleware, operating systems, and applications (pp. 474–486). Berlin: Springer.

    Chapter  Google Scholar 

  11. Zhuo, X., Loo, J., Cosmas, J., & Yip, A. (2008). Distributed video coding in wireless multimedia sensor network for multimedia broadcasting. WSEAS Transaction on Communications, 7(5), 418–427.

    Google Scholar 

  12. Winkler, T., & Rinner, B. (2014). Security and privacy protection in visual sensor networks: A survey. ACM Computing Surveys, 47(1), 1–42.

    Article  Google Scholar 

  13. Al-Turjman, F., & Radwan, A. (2017). Data delivery in wireless multimedia sensor networks: Challenging and defying in the IoT Era. IEEE Wireless Communications, 24(5), 126–131.

    Article  Google Scholar 

  14. Lei, S., et al. (2008) Geographic routing in wireless multimedia sensor networks. In Future generation communication and networking. FGCN ‘08. Second International Conference on 2008.

  15. Dong, Y., et al. (2013). Two-Hop geographic multipath routing in duty-cycled wireless sensor networks. In H. Qian & K. Kang (Eds.), Wireless internet (pp. 155–166). Berlin: Springer.

    Chapter  Google Scholar 

  16. Zhang, L., et al. (2008). Multi-priority multi-path selection for video streaming in wireless multimedia sensor networks. In F. Sandnes, et al. (Eds.), Ubiquitous intelligence and computing (pp. 439–452). Berlin: Springer.

    Chapter  Google Scholar 

  17. Dai, R., Wang, P., & Akyildiz, I. F. (2012). Correlation-aware QoS routing with differential coding for wireless video sensor networks. IEEE Transactions on Multimedia, 14(5), 1469–1479.

    Article  Google Scholar 

  18. Lee, S.-K., Koh, J.-G., & Jung, C.-R. (2014). An energy-efficient QoS-aware routing algorithm for wireless multimedia sensor networks. International Journal of Multimedia and Ubiquitous Engineering, 9(2), 245–252.

    Article  Google Scholar 

  19. Mehmet, C. V. (2010). XLP: A cross-layer protocol for efficient communication in wireless sensor networks. IEEE Transactions on Mobile Computing, 9(11), 1578–1591.

    Article  Google Scholar 

  20. Melodia, T., Akyildiz, I.F. (2008) Cross-Layer Quality of Service Support for UWB Wireless Multimedia Sensor Networks. In INFOCOM. The 27th Conference on Computer Communications. IEEE. 2008.

  21. Farooq, M.O., Kunz, T. & St-Hilaire, M. (2011) Differentiated services based congestion control algorithm for wireless multimedia sensor networks. In Wireless days (WD) IFIP

  22. Usman, M., et al. (2018). A joint framework for QoS and QoE for video transmission over wireless multimedia sensor networks. IEEE Transactions on Mobile Computing, 17(4), 746–759.

    Article  Google Scholar 

  23. Shah, G. A., Weifa, L., & Akan, O. B. (2012). Cross-layer framework for QoS Support in wireless multimedia sensor networks. Multimedia, IEEE Transactions on, 14(5), 1442–1455.

    Article  Google Scholar 

  24. Yang, X., et al. (2018). CSI-based low-duty-cycle wireless multimedia sensor network for security monitoring. Electronics Letters, 54(5), 323–324.

    Article  Google Scholar 

  25. Mekonnen, T., et al. (2018). Energy consumption analysis of edge orchestrated virtualized wireless multimedia sensor networks. IEEE Access, 6, 5090–5100.

    Article  Google Scholar 

  26. Guo, J., Sun, L., & Wang, R. (2012). A Cross-layer and multipath based video transmission scheme for wireless multimedia sensor networks. Journal of Networks, 7(9), 1334–1340.

    Article  Google Scholar 

  27. Almalkawi, I.T., Guerrero Zapata, M., & Al-Karaki, J.N. (2012) A cross-layer-based clustered multipath routing with QoS-aware scheduling for wireless multimedia sensor networks. International Journal of Distributed Sensor Networks. p. 11.

  28. Aswale, S., & Ghorpade, V. R. (2017). LQEAR: link quality and energy-aware routing for wireless multimedia sensor networks. Wireless Personal Communications, 97(1), 1291–1304.

    Article  Google Scholar 

  29. Liu, B.-H., & Jhang, J.-Y. (2014). Efficient distributed data scheduling algorithm for data aggregation in wireless sensor networks. Computer Networks, 65, 73–83.

    Article  Google Scholar 

  30. Hermans, A., (2012) H.264/MPEG-4 Advanced Video Coding.

  31. Jiyan, W., Xiaokun, W. & Junliang, C. (2013) SPMLD: Sub-packet based multipath load distribution for real-time multimedia Traffic. In vehicular technology conference (VTC Fall), 2013 IEEE 78th. 2013.

  32. Gui, X., M.N.S., Swamy, & Ahmad, M.O. Optimal packet scheduling for multi-description multi-path video streaming over wireless networks. In Communications, 2007. ICC ‘07. IEEE International Conference on. 2007.

  33. MEMSIC Technology, http://www.memsic.com/products/wireless-sensor-networks.html. Accessed on March 2012.

  34. Amjad, M., Rehmani, M. H., & Mao, S. (2018). Wireless multimedia cognitive radio networks: A comprehensive survey. IEEE Communications Surveys & Tutorials, 20(2), 1056–1103.

    Article  Google Scholar 

  35. Marano, S., Willett, P. (2018). Resource allocation in energy-harvesting sensor networks. IEEE Transactions on Signal and Information Processing over Networks, 4(3), 585–598. https://doi.org/10.1109/TSIPN.2018.2800645.

    Article  Google Scholar 

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Acknowledgements

The authors would like to express their gratitude to King Khalid University, Saudi Arabia for providing administrative and technical support.

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Correspondence to Mohammed Abazeed.

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Abazeed, M., faisal, N. & ali, A. Cross-layer multipath routing scheme for wireless multimedia sensor network. Wireless Netw 25, 4887–4901 (2019). https://doi.org/10.1007/s11276-018-1829-6

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  • DOI: https://doi.org/10.1007/s11276-018-1829-6

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