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JRM Vol.28 No.2 pp. 162-172
doi: 10.20965/jrm.2016.p0162
(2016)

Paper:

Optimum Placement of Wireless Access Point for Mobile Robot Positioning in an Indoor Environment

Abdul Halim Ismail*,**, Ryosuke Tasaki*, Hideo Kitagawa***, and Kazuhiko Terashima*

*System and Control Laboratory, Department of Mechanical Engineering, Toyohashi University of Technology
1-1 Hibarigaoka, Tempaku-cho, Toyohashi 441-8580, Japan

**School of Mechatronic Engineering, Universiti Malaysia Perlis (UniMAP)
Pauh Putra Campus, 02600 Arau Perlis, Malaysia

***Department of Electronic Control Engineering, National Institute of Technology, Gifu College
2236-2 Kamimakuwa, Motosu, Gifu 501-0495, Japan

Received:
October 23, 2015
Accepted:
January 19, 2016
Published:
April 20, 2016
Keywords:
indoor positioning, location fingerprinting, wireless nodes optimization, AP placement, indoor environment
Abstract
The Wireless Positioning System (WPS) has gained increasing attention for mobile robot applications in indoor environments over conventional on-board sensors. This is mainly due to their cost effectiveness as well as adaptability for future use. Many literatures on WPS adapted existing wireless infrastructures such as WiFi for mobile robot usage, resulting in relatively impractical accuracy for mobile robot application. A systematic technique must be sought in order to place the wireless nodes where coverage could be maximized and be suitable for a mobile robot positioning system via fingerprinting technique. We propose an effective and simple means to optimize wireless access point (AP) placement. Simulation results by ITU-R P.1238 MWF signal propagation model with automatic wall crossing computation have ensured the maximum coverage for human users using a minimum number of wireless nodes as possible. The mobile robot positioning error employing the weighted k-nearest neighbor algorithm (WKNN) with the average signal strength as fingerprint database yielded significant results when the proposed placements are used over symmetrical placements.
The placement objective so that the particular arrangement could provide enough signal data to the mobile robot

The placement objective so that the particular arrangement could provide enough signal data to the mobile robot

Cite this article as:
A. Ismail, R. Tasaki, H. Kitagawa, and K. Terashima, “Optimum Placement of Wireless Access Point for Mobile Robot Positioning in an Indoor Environment,” J. Robot. Mechatron., Vol.28 No.2, pp. 162-172, 2016.
Data files:
References
  1. [1] C.-C. Lin, M.-J. Chiu, C.-C. Hsiao, R.-G. Lee, and Y.-S. Tsai, “Wireless Health Care Service System for Elderly With Dementia,” IEEE Trans. Inf. Technol. Biomed., Vol.10, No.4, pp. 696-704, Oct. 2006.
  2. [2] L. a. Guerrero, F. Vasquez, and S. F. Ochoa, “An Indoor Navigation System for the Visually Impaired,” Sensors, Vol.12, No.6, pp. 8236-8258, 2012.
  3. [3] U. Varshney, “Pervasive Healthcare and Wireless Health Monitoring,” Mob. Networks Appl., Vol.12, No.2-3, pp. 113-127, Jun. 2007.
  4. [4] G. Borriello, V. Stanford, C. Narayanaswami, and W. Menning, “Guest Editors' Introduction: Pervasive Computing in Healthcare,” IEEE Pervasive Comput., Vol.6, No.1, pp. 17-19, Jan. 2007.
  5. [5] R. Angeles, “RFID Technologies: Supply-Chain Applications and Implementation Issues,” Inf. Syst. Manag., Vol.22, No.1, pp. 51-65, Dec. 2005.
  6. [6] R. Glidden, C. Bockorick, S. Cooper, C. Diorio, D. Dressler, V. Gutnik, C. Hagen, D. Hara, T. Hass, T. Humes, J. Hyde, R. Oliver, O. Onen, A. Pesavento, K. Sundstrom, and M. Thomas, “Design of ultra-low-cost UHF RFID tags for supply chain applications,” IEEE Commun. Mag., Vol.42, No.8, pp. 140-151, Aug. 2004.
  7. [7] M. Li and Y. Liu, “Underground coal mine monitoring with wireless sensor networks,” ACM Trans. Sens. Networks, Vol.5, No.2, pp. 1-29, Mar. 2009.
  8. [8] L. Mo, Y. He, Y. Liu, J. Zhao, S.-J. Tang, X.-Y. Li, and G. Dai, “Canopy closure estimates with GreenOrbs: sustainable sensing in the forest,” Proc. of the 7th ACM Conf. on Embedded Networked Sensor Systems (SenSys '09), p. 99, 2009.
  9. [9] Z. Yang, M. Li, and Y. Liu, “Sea Depth Measurement with Restricted Floating Sensors,” 28th IEEE Int. Real-Time Systems Symposium (RTSS 2007), pp. 469-478, 2007.
  10. [10] Y. Chen and J. Francisco, “A practical approach to landmark deployment for indoor localization,” Sens. Ad Hoc, Vol.11, 2006.
  11. [11] S.-H. Fang and T.-N. Lin, “A Novel Access Point Placement Approach for WLAN-Based Location Systems,” 2010 IEEE Wirel. Commun. Netw. Conf., pp. 1-4, Apr. 2010.
  12. [12] Y. Zhao, H. Zhou, and M. Li, “Indoor Access Points Location Optimization Using Differential Evolution,” 2008 Int. Conf. on Computer Science and Software Engineering, Vol.1, pp. 382-385, 2008.
  13. [13] O. Baala, Y. Zheng, and A. Caminada, “The Impact of AP Placement in WLAN-Based Indoor Positioning System,” 2009 Eighth Int. Conf. Networks, pp. 12-17, 2009.
  14. [14] L. E. Miller, “Propagation Model Sensitivity Study,” Contract Report, JS Lee Assoc., Inc., 1992.
  15. [15] T. Rappaport, “Wireless Communications: Principles and Practice, 2nd ed,” Upper Saddle River, NJ, USA: Prentice Hall PTR, 2001.
  16. [16] M. Lott and I. Forkel, “A multi-wall-and-floor model for indoor radio propagation,” IEEE VTS 53rd Vehicular Technology Conf., Proc. (Cat. No.01CH37202), Vol.1, pp. 464-468, 2001.
  17. [17] Recommendation ITU-R P.1238-1 Data, “P.1238: Propagation data and prediction methods for the planning of indoor radiocommunication systems and radio local area networks in the frequency range 300 MHz to 100 GHz,” 2015.
  18. [18] Z. Zhong, P. Kulkarni, F. Cao, Z. Fan, and S. Armour, “Issues and challenges in dense WiFi networks,” 2015 Int. Wireless Communications and Mobile Computing Conference (IWCMC), pp. 947-951, 2015.
  19. [19] B. Li, J. Salter, A. Dempster, and C. Rizos, “Indoor positioning techniques based on wireless LAN,” First IEEE Int. Conf. on Wireless Broadband and Ultra Wideband Communications, pp. 13-16, 2006.
  20. [20] G. Jekabsons, V. Kairish, and V. Zuravlyov, “An Analysis of Wi-Fi Based Indoor Positioning Accuracy,” Sci. J. Riga Tech. Univ. Comput. Sci., Vol.44, No.1, Jan. 2011.
  21. [21] J. Bardwell and D. Akin, “CWNA: Certified Wireless Network Administrator: Official Study Guide: (exam PWO-100),” McGraw-Hill/Osborne, p. 418, 2005.
  22. [22] A. Chella, G. Lo Re, I. Macaluso, M. Ortolani, and D. Peri, “A Networking Framework for Multi-Robot Coordination,” Recent Adv. Multi Robot Syst., pp. 1-14, May 2008.

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