Abstract
As the era of big data comes, numerous research works have been directed to focus on the massive, multi-source data acquisition, transmission, storage and management. The wireless sensor network is an important way and means to get “metadata” for big data. However, restricted energy resources and poor security have always been the bottleneck of wireless sensor network. In this paper, based on the method of software and hardware co-design, we introduce non-volatile memory (NVM) into memory system and propose an algorithm DAEE, managing the NVM dynamically to reduce energy cost and meanwhile adopting the security model of dynamic set theory to improve the data security. Experimental results show that the proposed method effectively guarantees the data security, reduces the network data flow and the whole network energy consumption, providing an efficient way for data processing in wireless sensor network.
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Zhu, J., Jia, Z. (2017). An Energy Efficient and Secure Data Aggregation Method for WSNs Based on Dynamic Set. In: Yuan, H., Geng, J., Bian, F. (eds) Geo-Spatial Knowledge and Intelligence. GRMSE 2016. Communications in Computer and Information Science, vol 699. Springer, Singapore. https://doi.org/10.1007/978-981-10-3969-0_19
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DOI: https://doi.org/10.1007/978-981-10-3969-0_19
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