Abstract
Data privacy-protection is of great importance during data aggregation in Wireless Sensor Networks. A distinctive data aggregation scheme based on data link is proposed in this paper. To be specifically, the data link is formed according to energy consumption and distance. For each round of the data aggregation, nodes within a certain cluster perform data aggregation together by subtracting the base value(given by cluster head) from its real value, and then add the random number (generated by itself) for privacy protection. The cluster head will form the information matrix according to the data from the link, and then perform homomorphic transformation. Finally, the data reach the base station which will feed back the aggregation results effectively. Compared with previous work, our scheme can effectively protect data privacy and cause low computation overhead and energy consumption. Meanwhile, the base station can acquire the correlation between nodes in certain clusters.
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Acknowledgement
The subject was sponsored by the National Natural Science Foundation of P.R. China (No. 61373138, 61672297), the Key Research and Development Program of Jiangsu Province (Social Development Program, No. BE2015702), Postdoctoral Foundation (No. 2015M570468, 2016T90485), the Sixth Talent Peaks Project of Jiangsu Province (No. DZXX-017), the Fund of Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks (WSNLBZY201516), Science and Technology Innovation Fund for Postgraduate Education of Jiangsu Province (No. KYLX15_0853).
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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Zhang, K., Huang, H., Wang, Y., Wang, R. (2017). Link-Based Privacy-Preserving Data Aggregation Scheme in Wireless Sensor Networks. In: Chen, F., Luo, Y. (eds) Industrial IoT Technologies and Applications. Industrial IoT 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 202. Springer, Cham. https://doi.org/10.1007/978-3-319-60753-5_13
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DOI: https://doi.org/10.1007/978-3-319-60753-5_13
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