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Low-complexity time synchronisation for 3-dimensional underwater communications environment using estimated instantaneous node velocity
- Source :
- Digital Signal Processing. 78:316-321
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
Abstract
- Underwater time synchronisation is required to use the latest communication technologies. Because propagation time should be estimated to improve time synchronisation accuracy, node mobility is an important factor. In the subaqueous environment, furthermore, it is impossible to exclude the influence of the node movement occurred by environmental factors and underwater nodes could have self-mobility. Conventional time synchronisations have considered node mobility but have an unrealistic assumption of node movement and high computational complexity. In this paper, however, our novel method, Low-complexity time synchronisation for 3-dimensional underwater communications environment using estimated instantaneous node velocity based (V-Sync), shows high accuracy with low complexity and short processing latency. In this paper, it is supposed that mobile nodes could know their instantaneous speeds when they receive the synchronising messages. Time synchronisation errors, skew and offset, are estimated by the instantaneous speeds. The performance and analysis of V-Sync in the underwater mobile environment is demonstrated by simulation results.
- Subjects :
- Propagation time
Offset (computer science)
Computational complexity theory
010505 oceanography
Computer science
Applied Mathematics
Real-time computing
Skew
020206 networking & telecommunications
02 engineering and technology
01 natural sciences
Low complexity
Computational Theory and Mathematics
Artificial Intelligence
Signal Processing
0202 electrical engineering, electronic engineering, information engineering
Computer Vision and Pattern Recognition
Electrical and Electronic Engineering
Statistics, Probability and Uncertainty
Underwater
Underwater acoustic communication
0105 earth and related environmental sciences
Subjects
Details
- ISSN :
- 10512004
- Volume :
- 78
- Database :
- OpenAIRE
- Journal :
- Digital Signal Processing
- Accession number :
- edsair.doi...........d9df91bd61d1ff24c548f407d0613395
- Full Text :
- https://doi.org/10.1016/j.dsp.2018.03.018