SimpleTrack: adaptive trajectory compression with deterministic projection matrix for mobile sensor networks
Article
Article Title | SimpleTrack: adaptive trajectory compression with deterministic projection matrix for mobile sensor networks |
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ERA Journal ID | 4437 |
Article Category | Article |
Authors | Rana, Rajib (Author), Yang, Mingrui (Author), Wark, Tim (Author), Chou, Chun Tung (Author) and Hu, Wen (Author) |
Journal Title | IEEE Sensors Journal |
Journal Citation | 15 (1), pp. 365-373 |
Number of Pages | 9 |
Year | 2015 |
Publisher | IEEE (Institute of Electrical and Electronics Engineers) |
Place of Publication | United States |
ISSN | 1530-437X |
1558-1748 | |
Digital Object Identifier (DOI) | https://doi.org/10.1109/JSEN.2014.2335210 |
Web Address (URL) | http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6847688 |
Abstract | Some mobile sensor network applications require the sensor nodes to transfer their trajectories to a data sink. This paper proposes an adaptive trajectory (lossy) compression algorithm based on compressive sensing. The algorithm has two innovative elements. First, we propose a method to compute a deterministic projection matrix from a learnt dictionary. Second, we propose a method for the mobile nodes to adaptively predict the number of projections needed based on the speed of the mobile nodes. Extensive evaluation of the proposed algorithm using six data sets shows that our proposed algorithm can achieve submeter accuracy. In addition, our method of computing projection matrices outperforms two existing methods. Finally, comparison of our algorithm against a state-of-the-art trajectory compression algorithm shows that our algorithm can reduce the error by 10–60 cm for the same compression ratio. |
Keywords | mobile sensor networks; trajectory compression; compressive sensing; adaptive compression; support vector regression; sparse coding; singular value decomposition |
ANZSRC Field of Research 2020 | 461199. Machine learning not elsewhere classified |
Public Notes | © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Byline Affiliations | Institute for Resilient Regions |
Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia | |
University of New South Wales | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q3620/simpletrack-adaptive-trajectory-compression-with-deterministic-projection-matrix-for-mobile-sensor-networks
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