Energy-efficient cluster-based privacy data aggregation for wireless sensor networks

doi:10.16511/j.cnki.qhdxxb.2017.22.017

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Abstract Current privacy-preserving data aggregation methods in wireless sensor networks often have large computational and communication costs. This paper presents an energy-efficient cluster-based privacy data aggregation (E-CPDA) mechanism based on the cluster-based privacy data aggregation (CPDA) method. In each round of aggregation, the cluster head chooses a node as a collaborative node for the aggregation, which reduces the computational and communication costs between the nodes in one cluster. Simulations show that E-CPDA has less communication and computational costs with good privacy-preserving performance and higher accuracy than CPDA.

Keywords wireless sensor network (WSN) privacy preservation data aggregation

ZTFLH:

TP393

Issue Date: 15 February 2017

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	MAN Dapeng
	WANG Chenye
	YANG Wu
	WANG Wei
	XUAN Shichang
	JIN Xiaopeng

Cite this article:

MAN Dapeng,WANG Chenye,YANG Wu, et al. Energy-efficient cluster-based privacy data aggregation for wireless sensor networks[J]. Journal of Tsinghua University(Science and Technology), 2017, 57(2): 213-219.

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http://jst.tsinghuajournals.com/EN/10.16511/j.cnki.qhdxxb.2017.22.017 OR http://jst.tsinghuajournals.com/EN/Y2017/V57/I2/213

[1]	LI Na, ZHANG Nan, Das S K, et al. Privacy-preserving in wireless sensor networks:A state-of-the-art survey[J]. Ad Hoc Networks, 2009, 7(8):1501-1514.
[2]	Ozdemir S, XIAO Yang. Secure data aggregation in wireless sensor networks:A comprehensive overview[J]. Computer Networks, 2009, 53(12):2022-2037.
[3]	范永健, 陈红. 无线传感器网络数据隐私保护技术[J]. 计算机学报, 2012, 35(6):1131-1146.FAN Yongjian, CHEN Hong. Data privacy preservation in wireless sensor networks[J]. Chinese Journal of Computers, 2012, 35(6):1131-1146. (in Chinese)
[4]	HE Wenbo, LIU Xue, Nguyen H, et al. PDA:Privacy-preserving data aggregation in wireless sensor networks[C]//Proc 26th IEEE International Conference on Computer Communications. Anchorage, AK, USA:IEEE Press, 2007:2045-2053.
[5]	Bista R, Jo K J. A new approach to secure aggregation of private data in wireless sensor networks[C]//Proc 8th IEEE International Conference on Dependable Autonomic and Secure Computing. Chengdu, China:IEEE Press, 2009:394-399.
[6]	WANG Fushun, WANG Bin, SUN Xiaohua. Data merging method by protecting energy in wireless sensor networks[J]. Journal of Networks, 2014, 9(6):1558-1564.
[7]	LI Li, QIN Qin, LI Hua, et al. Data fusion algorithm of privacy protection based on QoS and multilayers hierarchically[J]. International Journal of Distributed Sensor Networks, 2013, 2013, 926038.
[8]	LI Hongjuan, LIN Kai, LI Keqiu. Energy-efficient and high-accuracy secure data aggregation in wireless sensor networks[J]. Computer Communication, 2010, 34(4):591-597.
[9]	杨庚, 王安琪, 陈正宇, 等. 一种低能耗的数据融合隐私保护算法[J]. 计算机学报, 2011, 34(5):792-800.YANG Geng, WANG Anqi, CHEN Zhengyu, et al. An energy-saving privacy-preserving data aggregation algorithm[J]. Chinese Journal of Computers, 2011, 34(5):792-800. (in Chinese)
[10]	杨庚, 李森, 陈正宇, 等. 传感器网络中面向隐私保护的高精度数据融合算法[J]. 计算机学报, 2013, 36(1):189-200.YANG Geng, LI Sen, CHEN Zhengyu, et al. High-accuracy and privacy-preserving oriented data aggregation algorithm in sensor networks[J]. Chinese Journal of Computers, 2013, 36(1):189-200. (in Chinese)
[11]	YAO Jianbo, WEN Guangjun. Protecting classification privacy data aggregation in wireless sensor networks[C]//Proc 4th International Conference on Wireless Communication, Networking and Mobile Computing, WiCOM. Dalian, China:IEEE Press, 2008:1-5.
[12]	GUO Hongzhi. A modified scheme for privacy-preserving data aggregation in WSNs[C]//Proc 2nd International Conference on Consumer Electronics, Communications and Networks (CECNet). Yichang, China:IEEE Press, 2012:790-794.
[13]	Ukil A, Sen J. Secure multiparty privacy preserving data aggregation by modular arithmetic[C]//Proc 1st International Conference on Parallel, Distributed, and Grid Computing. Solan, India:IEEE Press, 2010:329-334.
[14]	Goldreich O. Secure Multi-Party Computation, Working Draft[Z/OL]. Version 1.4 (2002-10-27)[2015-10-23]. http://www.wisdom.weizmann.ac.il/~oded/PSX/prot.pdf. url: http://www.wisdom.weizmann.ac.il/~oded/psx/prot.pdf.
[15]	Eschenauer L, Gligor V D. A key-management scheme for distributed sensor networks[C]//Proc 9th ACM Conference on Computer and Communications Security. Washington DC, USA:ACM Press, 2002:41-47.