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Year 2020, Volume: 62 Issue: 2, 123 - 133, 31.12.2020
https://doi.org/10.33769/aupse.757917

Abstract

References

  • Koyuncu, H., Yang, S., A Survey of Indoor Positioning and Object Locating Systems, IJCSNS International Journal of Computer Science and Network Security, 10(5) (2010), 121-128.
  • Gezici, S., A survey on wireless position estimation, Wireless Personal Communications, vol. 44, pp. 263-282, 2008.
  • Sakpere, W., Adeyeye, O., Mlitwa, N., A State-of-the-Art Survey of Indoor Positioning and Navigation Systems and Technologies, South African Computer Journal, 2(3) (2017), 145–197.
  • Yassin, A. et al., Recent Advances in Indoor Localization: A Survey on Theoretical Approaches and Applications, IEEE Communications Surveys & Tutorials, 19(2) (2017), 1327-1346.
  • Zhang, D. et al., Localization Technologies for Indoor Human Tracking, Proc. of 5th International Conference on Future Information Technology, (2010).
  • Mounir, T. et al., Positioning system for emergency situation based on RSSI measurements for WSN, Proc. of International Conference on Performance Evaluation and Modeling in Wired and Wireless Networks (PEMWN), (2017).
  • Lee, Y., Weighted-average based aoa parameter estimations for LR-UWB wireless positioning system, IEICE Transactions on Communications, 94 (2011), 3599-3602.
  • Alsindi, N., Alavi, B., Pahlavan, K., Spatial characteristics of UWB TOA based ranging in indoor multipath environments, Proc. of 18th IEEE international symposium on personal, indoor and mobile radio communications, pp. 1-6, Athens, Greece, 2007.
  • Alsindi, N.A., Alavi, B., Pahlavan, K., Measurement and modeling of ultrawideband TOA-based ranging in indoor multipath environments, IEEE Transactions on Vehicular Technology, 58 (2009), 1046-1058.
  • Reddy, N., Sujatha, B., TDOA computation using multicarrier modulation for sensor networks, International Journal of Computer Science Communication Network, 1 (2011), 85-90.
  • Obeidat, H. et al., Indoor localization using received signal strength, Proc. of 8th IEEE Design and Test Symposium, 2013.
  • Youssef, M. Agrawala, A., Shankar, A.U., WLAN location determination via clustering and probability distributions, Proc. of IEEE International Conference on Pervasive Computer Communications (PerCom), (2003), 143-150.
  • Bahl, P., Padmanabhan, V.N., RADAR: an in-building RF-based user location and tracking system, Proc of IEEE Infocom, Tel Aviv Israel, (2000), 775-784.

ANALYZING THE PERFORMANCE OF PURE LATERATION IN INDOOR ENVIRONMENTS WITH VARIOUS PERFORMANCE METRICS

Year 2020, Volume: 62 Issue: 2, 123 - 133, 31.12.2020
https://doi.org/10.33769/aupse.757917

Abstract

Nowadays, determining the location of the users and devices in indoor buildings is promising research topic. Accurate position determination of the users for indoor environments is used for numerous applications such as public safety, supermarkets, health care applications, travelling, social networks and tourism. However, global positioning systems created for outdoor localizations cannot be used for indoor positioning systems (IPS) because detecting the exact position of a target is an issue for IPS. For indoor environments, there are several positioning algorithms such as lateration, fingerprinting, dead reckoning etc. Lateration is low cost and easy to deploy when compared to other existing algorithms. Therefore, in this study, received signal strength based pure lateration that uses synthetic data generated from MATLAB is proposed. The performance of pure lateration is investigated in terms of several performance metrics such as effect of varying number of the access points (AP), varying dimensions of the measurement area, varying Gaussian Noise power and varying number of test points in the field. The simulation of the pure lateration algorithm is conducted in MATLAB. The effect of the performance metrics are investigated and discussed in details. According to the results, accuracy performance of lateration is increased when the number of APs increase in the area, however this will bring some hardware costs. In addition, when the number of test points increases in the field, in other words the step size between two test points decreases in the field the error performance of lateration is also enhanced however, this will also cause to computational costs. Finally, enlarging the measurement area causes to decrease the accuracy performance of lateration as expected. The main purpose of this study is to obtain the optimum conditions for lateration to provide a solution for real time applications. For future work, the real time implementations of this study are performed and to improve the accuracy performance, it is aimed to use a curve fitting idea to the measured values.

References

  • Koyuncu, H., Yang, S., A Survey of Indoor Positioning and Object Locating Systems, IJCSNS International Journal of Computer Science and Network Security, 10(5) (2010), 121-128.
  • Gezici, S., A survey on wireless position estimation, Wireless Personal Communications, vol. 44, pp. 263-282, 2008.
  • Sakpere, W., Adeyeye, O., Mlitwa, N., A State-of-the-Art Survey of Indoor Positioning and Navigation Systems and Technologies, South African Computer Journal, 2(3) (2017), 145–197.
  • Yassin, A. et al., Recent Advances in Indoor Localization: A Survey on Theoretical Approaches and Applications, IEEE Communications Surveys & Tutorials, 19(2) (2017), 1327-1346.
  • Zhang, D. et al., Localization Technologies for Indoor Human Tracking, Proc. of 5th International Conference on Future Information Technology, (2010).
  • Mounir, T. et al., Positioning system for emergency situation based on RSSI measurements for WSN, Proc. of International Conference on Performance Evaluation and Modeling in Wired and Wireless Networks (PEMWN), (2017).
  • Lee, Y., Weighted-average based aoa parameter estimations for LR-UWB wireless positioning system, IEICE Transactions on Communications, 94 (2011), 3599-3602.
  • Alsindi, N., Alavi, B., Pahlavan, K., Spatial characteristics of UWB TOA based ranging in indoor multipath environments, Proc. of 18th IEEE international symposium on personal, indoor and mobile radio communications, pp. 1-6, Athens, Greece, 2007.
  • Alsindi, N.A., Alavi, B., Pahlavan, K., Measurement and modeling of ultrawideband TOA-based ranging in indoor multipath environments, IEEE Transactions on Vehicular Technology, 58 (2009), 1046-1058.
  • Reddy, N., Sujatha, B., TDOA computation using multicarrier modulation for sensor networks, International Journal of Computer Science Communication Network, 1 (2011), 85-90.
  • Obeidat, H. et al., Indoor localization using received signal strength, Proc. of 8th IEEE Design and Test Symposium, 2013.
  • Youssef, M. Agrawala, A., Shankar, A.U., WLAN location determination via clustering and probability distributions, Proc. of IEEE International Conference on Pervasive Computer Communications (PerCom), (2003), 143-150.
  • Bahl, P., Padmanabhan, V.N., RADAR: an in-building RF-based user location and tracking system, Proc of IEEE Infocom, Tel Aviv Israel, (2000), 775-784.
There are 13 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Research Articles
Authors

Korhan Cengiz 0000-0001-6594-8861

Publication Date December 31, 2020
Submission Date June 25, 2020
Acceptance Date July 17, 2020
Published in Issue Year 2020 Volume: 62 Issue: 2

Cite

APA Cengiz, K. (2020). ANALYZING THE PERFORMANCE OF PURE LATERATION IN INDOOR ENVIRONMENTS WITH VARIOUS PERFORMANCE METRICS. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering, 62(2), 123-133. https://doi.org/10.33769/aupse.757917
AMA Cengiz K. ANALYZING THE PERFORMANCE OF PURE LATERATION IN INDOOR ENVIRONMENTS WITH VARIOUS PERFORMANCE METRICS. Commun.Fac.Sci.Univ.Ank.Series A2-A3: Phys.Sci. and Eng. December 2020;62(2):123-133. doi:10.33769/aupse.757917
Chicago Cengiz, Korhan. “ANALYZING THE PERFORMANCE OF PURE LATERATION IN INDOOR ENVIRONMENTS WITH VARIOUS PERFORMANCE METRICS”. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering 62, no. 2 (December 2020): 123-33. https://doi.org/10.33769/aupse.757917.
EndNote Cengiz K (December 1, 2020) ANALYZING THE PERFORMANCE OF PURE LATERATION IN INDOOR ENVIRONMENTS WITH VARIOUS PERFORMANCE METRICS. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering 62 2 123–133.
IEEE K. Cengiz, “ANALYZING THE PERFORMANCE OF PURE LATERATION IN INDOOR ENVIRONMENTS WITH VARIOUS PERFORMANCE METRICS”, Commun.Fac.Sci.Univ.Ank.Series A2-A3: Phys.Sci. and Eng., vol. 62, no. 2, pp. 123–133, 2020, doi: 10.33769/aupse.757917.
ISNAD Cengiz, Korhan. “ANALYZING THE PERFORMANCE OF PURE LATERATION IN INDOOR ENVIRONMENTS WITH VARIOUS PERFORMANCE METRICS”. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering 62/2 (December 2020), 123-133. https://doi.org/10.33769/aupse.757917.
JAMA Cengiz K. ANALYZING THE PERFORMANCE OF PURE LATERATION IN INDOOR ENVIRONMENTS WITH VARIOUS PERFORMANCE METRICS. Commun.Fac.Sci.Univ.Ank.Series A2-A3: Phys.Sci. and Eng. 2020;62:123–133.
MLA Cengiz, Korhan. “ANALYZING THE PERFORMANCE OF PURE LATERATION IN INDOOR ENVIRONMENTS WITH VARIOUS PERFORMANCE METRICS”. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering, vol. 62, no. 2, 2020, pp. 123-3, doi:10.33769/aupse.757917.
Vancouver Cengiz K. ANALYZING THE PERFORMANCE OF PURE LATERATION IN INDOOR ENVIRONMENTS WITH VARIOUS PERFORMANCE METRICS. Commun.Fac.Sci.Univ.Ank.Series A2-A3: Phys.Sci. and Eng. 2020;62(2):123-3.

Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering

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