Abstract
Power consumption poses a challenge issue in Wireless Sensor Networks as the sensor node is power-constrained. Since Wireless communication is among the most energy expensive tasks, many power efficient transmission strategies are reported in the literature. However, most of them are purely software-based implemented. Since relaying algorithms are intensive-computing tasks, a purely software-based implementation is not the wise choice. This work comes to propose an alternative choice for implementing our earlier proposed relaying algorithm, which is a HW/SW implementation. To do so, we have identified the greedy CPU time and energy consuming tasks and implemented their dedicated hardware accelerators. We prototype our work using an FPGA board. Design details and interfacing of the different accelerators show important time execution and power consumption reduction of our algorithm.
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Healy, M., Newe, T., Lewis, E.: Wireless sensor node hardware: a review. In: IEEE Sensors, pp. 621–624 (2008)
Gamez, N., Romero, D., Fuentes, L., Rouvoy, R., Duchien, L.: Constraint-based Self-adaptation of wireless sensor networks. In: 2nd International Workshop on Adaptive Services for the Future Internet and 6th International Workshop on Web APIs and Service Mashups, pp. 20–27. ACM (2012)
Aziz, S.M., Pham, D.M.: Energy efficient image transmission in wireless multimedia sensor networks. IEEE Commun. Lett. 17(6), 1084–1087 (2013)
Liu, F., Jia, Z., Li, Y.: A novel partial dynamic reconfiguration image sensor node for wireless multimedia sensor networks. In: 2012 IEEE 14th International Conference on High Performance Computing and Communication & 2012 IEEE 9th International Conference on Embedded Software and Systems (HPCC-ICESS), pp. 1368–1374 (2012)
Berder, O., Sentieys, O.: Powwow: power optimized hardware/software framework for wireless motes. In: Workshop on Ultra-Low Power Sensor Networks (WUPS), co-located with ARCS, pp. 229–233 (2010)
Krasteva, Y., Portilla, J., de la Torre, E., Riesgo, T.: Embedded runtime reconfigurable nodes for wireless sensor networks applications. J. IEEE Sens. 11(9), 1800–1810 (2011)
De La Piedra, A., Braeken, A., Touhafi, A.: A performance comparison study of ECC and AES in commercial and research sensor nodes. In: IEEE EUROCON, pp. 347–354 (2013)
Liu, W., Wang, Z., Qu, S., Luo, R.: Reconfigurable network accelerator for wireless sensor nodes. In: 17th International Conference on Advanced Communication Technology (ICACT), pp. 138–142 (2015)
Hakim, H., Boujemaa, H., Ajib, W.: Single relay selection schemes for broadcast networks. IEEE Trans. Wirel. Commun. 12(6), 2646–2657 (2013)
Rumberg, B., Graham, D.W., Clites, S., Kelly, B.M., Navidi, M.M., Dilello, A., Kulathumani, V.: RAMP: accelerating wireless sensor hardware design with a reconfigurable analog/mixed-signal platform. In: 14th International Conference on Information Processing in Sensor Networks, pp. 47–58. ACM (2015)
Atitallah, N., Hakim, H., Loukil, K., Obeid, A.M., Abid, M.: Energy efficient adaptive transmission strategy using cooperative diversity for wireless sensor networks. In: 27th IEEE PIMRC Mobile and Wireless, pp. 2120–2125 (2016)
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This project is supported in part by the National Electronics, Communications and Photonics Research Center of King Abdulaziz City for Science and Technology (KACST).
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Atitallah, N., Loukil, K., Hakim, H., Obeid, A., Abid, M. (2017). Adaptive WSNs Based on HW/SW Implementation of Selective Relaying Communication Technique. In: Abraham, A., Haqiq, A., Alimi, A., Mezzour, G., Rokbani, N., Muda, A. (eds) Proceedings of the 16th International Conference on Hybrid Intelligent Systems (HIS 2016). HIS 2016. Advances in Intelligent Systems and Computing, vol 552. Springer, Cham. https://doi.org/10.1007/978-3-319-52941-7_51
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DOI: https://doi.org/10.1007/978-3-319-52941-7_51
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