Adaptive Genetic Algorithm Based Three Dimensional Positioning (AgaTdp) for Radio Frequency

Authors(2) :-R. Maruthaveni, Dr. V. Kathiresan

There exists vast research works to be carried out in Visible Light Communication (VLC) indoor 3D positioning. This happened due to lessening features from various Light Emitting Diodes (LEDs), the three-dimensional directions of the receiver possibly will perform constraint equations. In certain areas of VLC positioning system, positioning precision is constrained due to the system noise and non-perfect gadgets. Hence, an adaptive GA is employed to subtle the positioning errors that facilitate 3D of the receiver. Positioning directions are controlled by evaluatedas indicated by the principle of trilateration. Performance metrics such as reality value versus predictive value, error rate, convergence speed and accuracy are taken into account for comparing the proposed work with the existing work PSO-BP. Results demonstrated that the proposed AGA-TDP performs better than that of PSO-BP.

Authors and Affiliations

R. Maruthaveni
Assistant. Professor, Coimbatore,Tamil Nadu, India
Dr. V. Kathiresan
COE, Coimbatore, Tamil Nadu, India

Networks, Wireless, RFID, Localization, Received Signal Strength, Accuracy, Optimization.

  1. Z. Yang, Z. Zhou, Y. Liu, Fromrssi to csi: Indoor localization via channel response, ACM Computing Survey 46 2) 2013) 25:1–25:32.
  2. C. Luo, H. Hong, L. Cheng, M. C. Chan, J. Li, Z. Ming, Accuracy-aware wireless indoor localization: Feasibility and applications, Journal of Network and Computer Applications 62 2016) 128–136.
  3. M. Youssef, M. Mah, A. Agrawala, Challenges: Device-free passive localization for wireless environments, in: Proceedings of the 13th Annual ACM International Conference on Mobile Computing and Networking MobiCom 2007), 2007, pp. 222–229.
  4. L. Ni, Y. Liu, Y. C. Lau, A. Patil, LANDMARC: indoor location sensing using active rfid, in: Proceedings of the First IEEE International Conference on Pervasive Computing and Communications PerCom 2003), 2003, pp. 407–415.
  5. C. Wu, Z. Yang, Y. Liu, W. Xi, WILL: Wireless indoor localization without site survey, in: Proceedings of the 31st IEEE International Conference on Computer Communications INFOCOM 2012), 2012, pp. 64–72.
  6. L. Yang, Y. Chen, X.-Y. Li, C. Xiao, M. Li, Y. Liu, Tagoram: Real-time tracking of mobile rfid tags to high precision using cots devices, in: Proceedings of the 20th Annual International Conference on Mobile Computing and Networking MobiCom 2014), 2014, pp. 237–248.
  7. T. Liu, Y. Liu, L. Yang, Y. Guo, W. Cheng, Backpos: High accuracy backscatter positioning system, IEEE Transactions on Mobile Computing PP 99) 2015) 1–1.
  8. Z. Yang, C. Wu, Z. Zhou, X. Zhang, X. Wang, Y. Liu, Mobility increases localizability: A survey on wireless indoor localization using inertial sensors, ACM Computing Survey 47 3) 2015) 54:1–54:34.
  9. C. Xu, B. Firner, R. S. Moore, Y. Zhang,W. Trappe, R. Howard, F. Zhang, N. An, SCPL: Indoor Device-free Multi-subject Counting and Localization Using Radio Signal Strength, in: Proceedings of the 12th International Conference on Information Processing in Sensor Networks IPSN 2013), 2013, pp. 79–90.
  10. D. Zhang, J. Zhou, M. Guo, J. Cao, T. Li, Tasa: Tag-free activity sensing using rfid tag arrays, IEEE Transactions on Parallel and Distributed Systems 22 4) 2011) 558–570.
  11. Y. Liu, Y. Zhao, L. Chen, J. Pei, J. Han, Mining frequent trajectory patterns for activity monitoring using radio frequency tag arrays, IEEE Transactions on Parallel and Distributed Systems 23 11) 2012) 2138–2149.
  12. W. Ruan, L. Yao, Q. Z. Sheng, N. Falkner, X. Li, T. Gu, Tagfall: Towards unobstructive fine-grained fall detection based on uhf passive rfid tags, in: Proceedings of the 12th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, 2015, pp. 140–149.
  13. M. Breitenstein, F. Reichlin, B. Leibe, E. Koller-Meier, L. Van Gool, Online multiperson tracking-by-detection from a single, uncalibrated camera, IEEE Transactions on Pattern Analysis and Machine Intelligence 33 9) 2011) 1820–1833.
  14. H. Dai, Z.-M. Zhu, X.-F.Gu, Multi-target indoor localization and tracking on video monitoring system in a wireless sensor network, Journal of Network and Computer Applications 36 1) 2013) 228–234.
  15. B. Yang, Y. Lei, B. Yan, Distributed multi-human location algorithm using naive bayes classifier for a binary pyroelectric infrared sensor tracking system, IEEE Sensors Journal PP 99) 2015) 1–1.
  16. T. Helten, M. Muller, H.-P. Seidel, C. Theobalt, Real-time body tracking with one depth camera and inertial sensors, in: Proceedings of IEEE International Conference on Computer Vision ICCV 2013), 2013, pp.1105–1112.
  17. J. Wilson, N. Patwari, Radio tomographic imaging with wireless networks, IEEE Transactions on Mobile Computing 9 5) 2010) 621–632.
  18. A. Saeed, A. Kosba, M. Youssef, Ichnaea: A low-overhead robust wlan device-free passive localization system, IEEE Journal of selected Topics in Signal Processing 8 1) 2014) 5–15.
  19. K. Wu, J. Xiao, Y. Yi, D. Chen, X. Luo, L. Ni, Csi-based indoor localization, IEEE Transactions on Parallel and Distributed Systems 24 7) 2013) 1300–1309.
  20. C.Wu, Z. Yang, Z. Zhou, X. Liu, Y. Liu, J. Cao, Non-invasive detection of moving and stationary human with wifi, IEEE Journal on Selected Areas in Communications 33 11) 2015) 2329–2342.
  21. F. Adib, Z. Kabelac, D. Katabi, Multi-person localization via rf body reflections, in: Proceedings of the 12th USENIX Conference on Networked Systems Design and Implementation NSDI 2015), 2015, pp. 279–292.
  22. Changzhi Wang, Fei Wu, Zhicai Shi, Dongsong Zhang, Indoor positioning technique by combining RFID and particle swarm optimization-based back propagation neural network, Optik - International Journal for Light and Electron Optics, Volume 127, Issue 17, 2016, pp 6839-6849.

Publication Details

Published in : Volume 4 | Issue 10 | September-October 2018
Date of Publication : 2018-09-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 139-151
Manuscript Number : IJSRSET1841032
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

R. Maruthaveni, Dr. V. Kathiresan, " Adaptive Genetic Algorithm Based Three Dimensional Positioning (AgaTdp) for Radio Frequency , International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 10, pp.139-151, September-October-2018. Available at doi : https://doi.org/10.32628/18410IJSRSET
Journal URL : http://ijsrset.com/IJSRSET1841032

Article Preview

Follow Us

Contact Us