Allan deviation of social learning distributed network time synchronization

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Issue Date
2022-12-02
Embargo End Date
Authors
Hulede, Ian Ellis L.
Kwon, Hyuck M.
Advisor
Citation

I. E. L. Hulede and H. M. Kwon, "Allan Deviation of Social Learning Distributed Network Time Synchronization," MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM), Rockville, MD, USA, 2022, pp. 235-240, doi: 10.1109/MILCOM55135.2022.10017979.

Abstract

The objective of this paper is to demonstrate that the concept of a recently published social learning distributed network time synchronization (SLDNTS) algorithm under a Global Positioning System (GPS) denial environment can be implementable and perform better than the existing consensus distributed network time synchronization (CDNTS). Practical clock parameters such as time offsets, frequency offsets, phase offsets, and observation noises are referred to the International Telecommunication Union (ITU) standard and considered in the evaluation. The Allan deviation criteria is used for the comparison of the proposed SLDNTS with the CDNTS.

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