Data Aggregation Based on Saving Energy and Preserving Privacy in Wireless Sensor Networks

Abstract:

Privacy preserving plays an important role in application of the Internet of Things (IoT). As apart of the IT, Wireless Sensor Networks (WSNs) should provide the privacy preserving in data aggregation. This paper presents a novel energy-saving private-preserving aggregation scheme (ESPART) for Wireless Sensor Networks, which uses characteristic of the data aggregation tree structure to reduce communication overhead. It assigns the random time pieces to nodes with aim to avoid collision, and limits the scope of collusion data to reinforce data—loss resilience. Compared with the SMART algorithm have less communication overhead. ESPART uses data-dependent fusion characteristics of the tree structure to eliminate SMART algorithm for unnecessary communication node, so that in case of the same privacy protection security, the data transmission amount is reduced to about 48% of SMART.

• Periodical: Applied Mechanics and Materials (Volumes 635-637)
• Pages: 878-881
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.635-637.878
• Online since: September 2014
• Authors: Gui Jun Shan*
• Keywords: Data Aggregation, Energy Saving, Energy-Efficiency, Internet of Things (IOT), Privacy Preserving, Wireless Network Sensor

References

[1] C. Intanagonwiwat, R. Govindan and D. Essrin. Directed diffusion: a scalabIe and robust communication paradigm for sensor networks. Proceedings of the 6th Annual International Conference on Mobile Computing and Networking. Boston, USA, 2000: 56-67.

DOI: 10.1145/345910.345920

[2] A. Maddens, M. J. Franklin and J. M. Hellerstein. TAG: a tiny aggregation service for ad-hoc sensor networks. Proceedings of the 5th Symposium on Operating Systems Design and Implementation. New York, USA, 2002: 131-146.

DOI: 10.1145/1060289.1060303

[3] W. He, X. Liu, H. Nguyen, K. Nahrstedt and T. Abdelzaher. PDA: Privacy-preserving data aggregation in wireless sensor networks. Proceedings of the 26th IEEE International Conference on Computer Communications. Anchorage, AK, 2007: 2045-(2053).

DOI: 10.1109/infcom.2007.237

[4] W. He, H. Nguyen, X. Liu, K. Nahrstedt and T. Abdelzaher. PDA: an integrity-protecting private data aggregation scheme for wireless sensor networks. Proceedings of the Military Communications Conference. San Diego, CA, 2008: 1-7.

DOI: 10.1109/milcom.2008.4753645

[5] W. He, X. Liu, H. Nguyen and K. Nahrstedt. A cluster-based protocol to enforce integrity and preserve privacy in data aggregation. Proceedings of the 29th IEEE International Conference on Distribute Computing Systems Workshops. Montreal, QC, 2009: 14-19.

DOI: 10.1109/icdcsw.2009.18

[6] J. Girao, D. Westhoff and M. Schneider. CDA: concealed data aggregation for reverse multicast traffic in Wireless Sensor Networks. Proceedings of the 40th Intemation8l Conference on Communications. Seoul, Korea, 2005: 3044-3049.

DOI: 10.1109/icc.2005.1494953

[7] C. Castelluccia, E. Mykletun and G. Tsudik. Efficient aggregation of encrypted data in wireless sensor networks. Proceedings of the 2nd Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services. San Diego, CA, 2011: 109-117.

DOI: 10.1109/mobiquitous.2005.25