Second-order Consensus Time Synchronization for Wireless Sensor Networks

HUANG Yourui; CHEN Zhenping; LI Dequan; TANG Chaoli; QU Liguo

doi:10.11999/JEIT160382

Volume 39 Issue 1

Jan. 2017

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HUANG Yourui, CHEN Zhenping, LI Dequan, TANG Chaoli, QU Liguo. Second-order Consensus Time Synchronization for Wireless Sensor Networks[J]. Journal of Electronics & Information Technology, 2017, 39(1): 51-57. doi: 10.11999/JEIT160382

Citation:

HUANG Yourui, CHEN Zhenping, LI Dequan, TANG Chaoli, QU Liguo. Second-order Consensus Time Synchronization for Wireless Sensor Networks[J]. Journal of Electronics & Information Technology, 2017, 39(1): 51-57. doi: 10.11999/JEIT160382

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Second-order Consensus Time Synchronization for Wireless Sensor Networks

doi: 10.11999/JEIT160382

1.
(School of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan 232001, China)
2.
(School of Electronic and Information Engineering, Suzhou University of Science and Technology, Suzhou 215009, China)

Funds:

The National Natural Science Foundation of China (51274011, 51404008, 61472003), The Science and Technology Research Plan of Anhui Province (1501021027)

Received Date: 2016-04-19
Rev Recd Date: 2016-09-09
Publish Date: 2017-01-19

Abstract

Abstract

Since in wireless sensor networks, the joint of new nodes or the death of old nodes lead to a dynamic topology, this paper studies one completely distributed Second-Order Consensus Time Synchronization (SOCTS) algorithm. The clock feature of each node is modeled into a second order state equation, and the local virtual time is broadcasted according to the pseudo synchronous cycle, Moreover, the synchronization control input is constructed according to the disagreement on local virtual time among neighboring nodes. By virtue of the matrix transformation, the network time synchronization issue is turned into the stability issue of some transformed system, and the convergence and convergence condition for the SOCTS algorithm are analyzed theoretically. Moreover, the factors that influence the convergence rate of the SOCTS algorithm are investigated. Finally, the effectiveness of the proposed method is verified by numerical simulations.
- Wireless sensor networks,
- Time synchronization,
- Consensus,
- Convergence

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References(22)

References

李鹏, 王建新, 曹建农. 无线传感器网络中基于压缩感知和 GM(1, 1)的异常检测方案[J]. 电子与信息学报, 2015, 37(7): 1586-1590. doi: 10.11999/JEIT141219.

LI Peng, WANG Jianxin, and CAO Jiannong. Abnormal event detection scheme based on compressive sensing and GM (1,1) in wireless sensor networks[J]. Journal of Electronics Information Technology, 2015, 37(7): 1586-1590. doi: 10.11999/JEIT141219.

LIU Bin, REN Fengyuan, SHEN Junyang, et al. Advanced self-correcting time synchronization in wireless sensor networks[J]. IEEE Communications Letters, 2010, 14(4): 309-311. doi: 10.1109/LCOMM.2010.04.092364.

王义君, 钱志鸿, 王桂琴, 等. 无线传感器网络能量有效时间同步算法研究[J]. 电子与信息学报, 2012, 34(9): 2174-2179. doi: 10.3724/sp.j.1146.2012.00236.

WANG Yijun, QIAN Zhihong, WANG Guiqin, et al. Research on energy-efficient time synchronization algorithm for wireless sensor networks[J]. Journal of Electronics Information Technology, 2012, 34(9): 2174-2179. doi: 10. 3724/sp.j.1146.2012.00236.

ZHANG Weile, YIN Qinye, CHEN Hongyang, et al. Distri- buted angle estimation for localization in wireless sensor networks[J]. IEEE Transactions on Wireless Communications, 2012, 12(2): 527-537. doi: 10.1109/ GLOCOM.2010.5683803.

LI Dequan, LIU Qipeng, WANG Xiaofan, et al. Consensus seeking over directed networks with limited information communication[J]. Automatica, 2013, 49(2): 610-618. doi: 10.1016/j.automatica.2012.11.041.

席裕庚, 李晓丽. 多智能体系统一致性的递阶结构设计[J]. 控制理论与应用, 2015, 32(9): 1191-1199. doi: 10.7641/CTA.2015.50393.

XI Yugeng and LI Xiaoli. Hierarchical structure design for multi-agent consensus[J]. Control Theory and Applications, 2015, 32(9): 1191-1199. doi: 10.7641/CTA.2015.50393.

HE Wangli, ZHANG Biao, HAN Qianlong, et al. Leader- following consensus of nonlinear multiagent systems with stochastic sampling[J]. IEEE Transactions on Cybernetics, 2016, 99: 1-12. doi: 10.1109/TCYB.2015.2514119.

LUCA S and FEDERICO F. Average timesynch: a consensus- based protocol for clock synchronization in wireless sensor networks[J]. Automatica, 2011, 47(9): 1878-1886. doi: 10. 1016/j.automatica.2011.06.012.

RUGGERO C and SANDRO Z. Network clock synchroni- zation based on the second-order linear consensus algorithm [J]. IEEE Transactions on Automatic Control, 2014, 59(2): 409-422. doi: 10.1109/TAC.2013.2283742.

HE Jianping, CHENG Peng, SHI Lin, et al. Time synchronization in WSNs: A maximum-value-based consensus approach [J]. IEEE Transactions on Automatic Control, 2014, 59(3): 660-675. doi: 10.1109/TAC.2013.2286893.

HE Jiangping, LI Hao, CHEN Jiming, et al. Study of consensus-based time synchronization in wireless sensor networks[J]. ISA Transactions, 2014, 53(2): 347-357. doi: 10.1016/j.isatra.2013. 11.001.

TIAN Yuping, ZONG Siheng, and CAO Qingqing. Structural modeling and convergence analysis of consensus-based time synchronization algorithms over networks: Non-topological conditions[J]. Automatica, 2016, 65: 64-75. doi: 10.1016/j.automatica.2015.11.034.

ASENSIO M C and BEFERULL L B. Accelerating consensus gossip algorithms: sparsifying networks can be good for you[C]. IEEE International Conference on Communications, Cape Town, South Africa, 2010: 1-5. doi: 10.1109/ICC.2010.5502427.

VECCHIO M and LPEZ-VALCARCE R. A greedy topology design to accelerate consensus in broadcast wireless sensor networks[J]. Information Processing Letters, 2015, 115(3): 408-413. doi: 10.1016/j.ipl.2014.11.009.

任丰原, 董思颖, 何滔, 等. 基于锁相环的时间同步机制与算法[J]. 软件学报, 2007, 18(2): 372-380. doi: 10.1360/jos180 372.

REN Fengyuan, DONG Siying, HE Tao, et al. A time synchronization mechanism and algorithm based on phase lock loop[J]. Journal of Software, 2007, 18(2): 372-380. doi: 10.1360/jos180372.

CARLI R and LOVISARIE E. Robust synchronization of networks of heterogeneous double-integrators[C]. IEEE 51st Annual Conference on Decision and Control (CDC), Grand Wailea, Maui, HI, USA, 2012: 260-265. doi: 10.1109/ CDC.2012.6426768.

LIN Xiao and STEPHEN Boyd. Fast linear iterations for distributed averaging[J]. Systems Control Letters, 2003, 5(1): 65-78. doi: 10.1109/CDC.2003.1272421.

GEORG S S, DIMOS V D, and KARL H J. Event-based broadcasting for multi-agent average consensus[J]. Automatica, 2013, 49(1): 245-252. doi: 10.1016/j.automatica.2012.08.042.

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