Abstract
Reprogramming may become inefficient with the increase of network scale, we proposed a multi-source scheme which can efficiently disseminate code image, and several approaches of the source node placement were discussed. The scheme with these approaches was evaluated in real applications and simulation experiments. Experimentation results confirmed that multi-source scheme achieves substantial improvement in both time to completion and energy consumption in large scale networks. The time to completion was reduced approximately 44.4 % while the node spacing was 6 m. Simulation experiments showed the segmentation was the most efficient in grid networks, maximum in minimal dominating set worked best in random networks.
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Acknowledgments
This paper is supported by the National Natural Science Foundation of China (60873033), the Natural Science Foundation of Zhejiang Province (R1090569) and Zhejiang Provincial Natural Science Foundation (No. Y1101053) and Information Service Industry Special Fund of Zhejiang Province Economic and Information Commission [(2010) No.360].
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Wang, W., Zheng, S., Wang, C. (2013). Multi-Source Scheme for Reprogramming in Wireless Sensor Networks. In: Lu, W., Cai, G., Liu, W., Xing, W. (eds) Proceedings of the 2012 International Conference on Information Technology and Software Engineering. Lecture Notes in Electrical Engineering, vol 210. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34528-9_7
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DOI: https://doi.org/10.1007/978-3-642-34528-9_7
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