An improved time synchronization algorithm for unmanned equipment mobile ad hoc networks
Authors: 
Hao Wen, Beizuo ZhuAuthors Info & Claims
Hao Wen, Beizuo ZhuAuthors Info & ClaimsPages 1037 - 1042
Abstract
Aiming at the problem of local clock drift of unmanned equipment in mobile ad hoc networks (MANETs), an improved time synchronization algorithm with high accuracy and strong stability is proposed on the basis of the flooding time synchronization protocol (FTSP). A Bessel ranging model based on received signal strength (RSSI) is proposed to eliminate the uncertainty of message propagation delay caused by the movement of equipment platform. To make up for the lack of outlier handling in FTSP, an improved iterative reweighted least square (IRLS) method is used to reduce the influence of individual abnormal data caused by unexpected circumstances on the estimated global time. An attack detection mechanism based on the confidence interval of clock deviation is proposed to against continuous malicious attacks. The experimental results show that the improved time synchronization algorithm has higher accuracy and robustness.
References
[1]
Amit, Dua, Neeraj, et al. A systematic review on routing protocols for Vehicular Ad Hoc Networks. Vehicular Communications 2014; 1(1): 33--52.
[2]
Elson J, Girod L, Estrin D. Fine-Grained Network Time Synchronization using Reference Broadcasts. Acm Sigops Operating Systems Review 2002; 36(SI): 147--163.
[3]
Ganeriwal S, Kumar R, Srivastava M B. Timing-sync protocol for sensor networks. Proceedings of the 1st International Conference on Embedded Networked Sensor Systems 2003; 138--149
[4]
Maroti M, Kusy B, Simon G, et al. The flooding time synchronization protocol. Proceedings of the 2nd International Conference on Embedded Networked Sensor Systems 2004; 39--49
[5]
X Huan, Kim K S, Lee S, et al. A Beaconless Asymmetric Energy-Efficient Time Synchronization Scheme for Resource-Constrained Multi-Hop Wireless Sensor Networks. IEEE Transactions on Communications 2019; PP(99): 1--1.
[6]
S. Yang, C. G. Li. Security algorithm of flooding time synchronization protocol in wireless sensor networks. Transducer and Microsystem Technologies 2014; 33(1): 137--140.
[7]
Cui W, Zheng Z, Qiao L, et al. An Improved TPSN Algorithm Based on Doze Mechanism. IEEE International Conference on Energy Internet 2018; 230--234.
[8]
Tan C, Ji S, Gui Z, et al. An effective data fusion-based routing algorithm with time synchronization support for vehicular wireless sensor networks. The Journal of Supercomputing 2018; 74(3): 1267--1282.
[9]
Banani S A, Najibi M, Vaughan R G. Range-based localisation and tracking in non-line-of sight wireless channels with Gaussian scatterer distribution model. IET Communications 2013; 7(18): 2034--2043.
[10]
Adama V R, Asutkar G M. Improved localization with RSSI and DTN algorithms in wireless sensor networks. International Journal of Information Technology 2021; 13(2): 603--607.
[11]
Ahmed A U, Arablouei R, Hoog F D, et al. Nakagami-m distribution of RSSI in shadowing pathloss model for indoor localization. IEEE Sensors Applications Symposium (SAS) 2019; 1--6.
[12]
Zhou L, Ma S. Improved hybrid localization algorithm of maximum likelihood and centroid localization based on RSSI. 4th International Conference on Information Science and Control Engineering 2017; 385--389.
[13]
Z. B. Yu, X. P. Lu, Y. Liu, P. D. Yu, D. M. Zhang. A ranging algorithm of received signal strength based on improved BP neural network. Science of Surveying and Mapping 2020; 269(11): 48--52+67.
[14]
Huang D J, Teng W C, Wang C Y, et al. Clock Skew Based Node Identification in Wireless Sensor Networks. IEEE GLOBECOM 2008--2008 IEEE Global Telecommunications Conference 2008; 1--5.
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- An improved time synchronization algorithm for unmanned equipment mobile ad hoc networks
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October 2021
1723 pages
ISBN:9781450384322
DOI:10.1145/3501409
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Association for Computing Machinery
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Published: 31 December 2021
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EITCE 2021
EITCE 2021: 2021 5th International Conference on Electronic Information Technology and Computer Engineering
October 22 - 24, 2021
Xiamen, China
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EITCE '21 Paper Acceptance Rate 294 of 531 submissions, 55%;
Overall Acceptance Rate 508 of 972 submissions, 52%
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