Devising a method for the active coordination of video cameras in optical navigation based on the multi-agent approach
DOI:
https://doi.org/10.15587/1729-4061.2017.90863Keywords:
Ad Hoc, multi-agent system, video stream analysis, steganocontainer, reduction in power consumption by unmanned vehiclesAbstract
Here we present results of research into multi-agent approach to solving the problem of constructing a wireless Ad Hoc network to transmit video stream during optical navigation. When obtaining data from video cameras in real time, there is a problem of realization of effective coordination of video data. To improve the algorithms of capturing an object, it is necessary to improve the architecture of devices that utilize network metadata for the analysis of scenes from video surveillance. As a result of exploring the ways of solving the specified problems, we proposed a method for active coordination of video cameras based on the multi-agent approach (MAC-on-MAA). The application of this method increases efficiency of network cameras through their reconfiguration.
We examined the problem of determining an adequate level of illuminance normalization of a video frame based on analysis of the modules throughput of multi-agent system for encoding transmitted video data. It was revealed that the time of analysis of video stream from a network decreases when ignoring the decoding of certain domains of graphic elements in the received video frames.
The devised MAC-on-MAA method allows effective updating of routing tables in the reactive protocol AODV. We obtained analytic expressions for the assessment of quantitative characteristics of energy consumption by mobile agents. Protection of communication channels of video surveillance network is improved through the integration of steganocontainers in the free bits of RGB characteristics of video frames pixels.
References
- Whitaker, J. C. (1998). DTV: The revolution in electronic imaging. New York: McGraw-Hill, 656.
- Tsmots, I., Peleshko, D., Izonin, I. (2014). Parallel algorithms and VLSI structures for median filtering of images in real time. International Journal of Advanced Research in Computer Engineering & Technology (IJARCET), 3 (8), 2643–2649.
- Musiyenko, M. P., Denysov, O. O., Zhuravska, I. M., Burlachenko, I. S. (2016). Development of double median filter for optical navigation problems. 2016 IEEE First International Conference on Data Stream Mining & Processing (DSMP). doi: 10.1109/dsmp.2016.7583535
- Musiyenko, M. P., Zhuravska, I. M., Burlachenko, I. S., Denysov, O. O. (2016). The principles of the cyber-physical components' organization based on the methods of the multi-agent interaction of the moving objects. Advances in Cyber-Physical Systems, 1 (1), 51–60.
- Savinov, V. (2014). Development of energy efficient distributed computer systems with self-contained remote modules. 2014 IEEE 34th International Scientific Conference on Electronics and Nanotechnology (ELNANO). doi: 10.1109/elnano.2014.6873427
- Burlachenko, I. (2015). Management of energy efficient distributed computer systems with self-contained remote modules using multi-agent system. 2015 IEEE 35th International Conference on Electronics and Nanotechnology (ELNANO). doi: 10.1109/elnano.2015.7146940
- Halkin, P. V. (2014). Analysis of models and optimization of information collection in wireless sensor networks. Eastern-European Journal of Enterprise Technologies, 5 (9 (71)), 24–30. doi: 10.15587/1729-4061.2014.28008
- Galelyuka, I. (2015). Modelling of wireless sensor networks. Computer means, networks and systems, 14, 141–150.
- Shved, A., Davydenko, Y. (2016). The analysis of uncertainty measures with various types of evidence. 2016 IEEE First International Conference on Data Stream Mining & Processing (DSMP). doi: 10.1109/dsmp.2016.7583508
- Akyildiz, I., Melodia, T., Chowdury, K. (2007). Wireless multimedia sensor networks: A survey. IEEE Wireless Communications, 14 (6), 32–39. doi: 10.1109/mwc.2007.4407225
- Seema, A., Reisslein, M. (2011). Towards Efficient Wireless Video Sensor Networks: A Survey of Existing Node Architectures and Proposal for A Flexi-WVSNP Design. IEEE Communications Surveys & Tutorials, 13 (3), 462–486. doi: 10.1109/surv.2011.102910.00098
- Goldsmith, A. J., Wicker, S. B. (2002). Design challenges for energy-constrained ad hoc wireless networks. IEEE Wireless Communications, 9 (4), 8–27. doi: 10.1109/mwc.2002.1028874
- Minukhin, S. (2013). Energy efficient algorithms for scaling processor speed in supercomputer. Second International Conference ‘Cluster Computing’ (CC’13), 131–140.
- Vlasyuk, A. G., Muzhaylo, A. A., Savchenko, Y. G. (2015). The ways to increase the useful volume of steganocontainer by adding artificial noises. Electronics and communications, 20 (1 (84)), 114–121.
- Singh, K. U. (2014). Video steganography: text hiding in video by LSB substitution. International Journal of Engineering Research and Applications, 4 (5), 105–108.
- Vaze, R., Truong, K. T., Weber, S., Heath, R. W. (2011). Two-Way Transmission Capacity of Wireless Ad-hoc Networks. IEEE Transactions on Wireless Communications, 10 (6), 1966–1975. doi: 10.1109/twc.2011.041311.101488
- Okhrimenko, O. H., Ternovoi, M. Yu. (2011). Study of bandwidth of Ad Hoc network with AODV routing protocol. Modern Challenges in Telecommunications. Kyiv: NTUU «KPI», 124.
- Akkaya, K., Younis, M. (2005). A survey on routing protocols for wireless sensor networks. Ad Hoc Networks, 3 (3), 325–349. doi: 10.1016/j.adhoc.2003.09.010
- Younis, O., Krunz, M., Ramasubramanian, S. (2006). Node clustering in wireless sensor networks: recent developments and deployment challenges. IEEE Network, 20 (3), 20–25. doi: 10.1109/mnet.2006.1637928
- Bali, R. S., Kumar, N., Rodrigues, J. J. P. C. (2014). Clustering in vehicular ad hoc networks: Taxonomy, challenges and solutions. Vehicular Communications, 1 (3), 134–152. doi: 10.1016/j.vehcom.2014.05.004
- Manjunatha, P., Chethan, L. S. (2016). A Survey of coverage analysis in wireless multimedia sensor networks. International Journal of Scientific Development and Research (IJSDR), 1 (9), 315–318.
- Zhuravska, I. M. (2016). Ensuring a stable wireless communication in cyber-physical systems with moving objects. Technology Audit and Production Reserves, 5 (2 (31)), 58–64. doi: 10.15587/2312-8372.2016.80784
- Grossman, R. L., Mazzucco, M., Sivakumar, H., Pan, Y., Zhang, Q. (2005). Simple Available Bandwidth Utilization Library for High-Speed Wide Area Networks. The Journal of Supercomputing, 34 (3), 231–242. doi: 10.1007/s11227-005-1167-1
- Finlayson, G. D., Schiele, B., Crowley, J. L. (1998). Comprehensive colour image normalization. Lecture Notes in Computer Science, 475–490. doi: 10.1007/bfb0055685
- Makhoul, J. (1980). A fast cosine transform in one and two dimensions. IEEE Transactions on Acoustics, Speech, and Signal Processing, 28 (1), 27–34. doi: 10.1109/tassp.1980.1163351
- Sechin, А. Yu., Drakin, M. A., Kiseliova, A. S. (2011). UAV: The use of aerial photography in order to map (part 2). Online Resource of Software solutions in the field of photogrammetry, GIS and remote sensing ‘Racurs’, 12. Available at: http://www.racurs.ru/www_download/articles/UAV_2.pdf
- Sloan, T., Hernandez-Castro, J. (2015). Forensic analysis of video steganography tools. PeerJ Computer Science, 1, e7. doi: 10.7717/peerj-cs.7
- Kharchenko, V. P., Bohunenko, M. M., Kuzmenko, N. S., Shostak, O. V., Sharak, K. Yu. (2014). Obrobka, analiz ta vizualizatsiia poliotnyh danyh bezpilotnoho litalnoho aparatu. Bulletin of Engineering Academy of Ukraine, 2, 20–26.
- Rao, K. R., Yip, P. (1990). Discrete cosine transform: algorithms, advantages, applications. San Diego: Academic Press, 512. doi: 10.1016/c2009-0-22279-3
- Nteris, A. (2013). Photomod lite contest: creating vegetation map using UAV at seaside ‘Palouki’ forest (Greece) by Apostolos Nteris. Online Resource of Software solutions in the field of photogrammetry, GIS and remote sensing ‘Racurs’, 9. Available at: http://www.racurs.ru/www_download/Contest/results/PHOTOMOD_Lite_Contest_Apostolos%20Nteris.pdf
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2017 Ivan Burlachenko, Iryna Zhuravska, Maksym Musiyenko
This work is licensed under a Creative Commons Attribution 4.0 International License.
The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.
A license agreement is a document in which the author warrants that he/she owns all copyright for the work (manuscript, article, etc.).
The authors, signing the License Agreement with TECHNOLOGY CENTER PC, have all rights to the further use of their work, provided that they link to our edition in which the work was published.
According to the terms of the License Agreement, the Publisher TECHNOLOGY CENTER PC does not take away your copyrights and receives permission from the authors to use and dissemination of the publication through the world's scientific resources (own electronic resources, scientometric databases, repositories, libraries, etc.).
In the absence of a signed License Agreement or in the absence of this agreement of identifiers allowing to identify the identity of the author, the editors have no right to work with the manuscript.
It is important to remember that there is another type of agreement between authors and publishers – when copyright is transferred from the authors to the publisher. In this case, the authors lose ownership of their work and may not use it in any way.