RSS-Distance Rationalization Procedure for Localization in an Indoor Environment
- 1 University of Aberdeen King’s College, Aberdeen, UK
Abstract
The computational capabilities of off-the - shelf wireless sensors networks presents a limitation when more complex forms of localization algorithms are employed for location estimation purposes, particularly in an indoor environment. Range-free algorithms rely on Received Signal Strength (RSS) from sensors that are location aware (anchor nodes) as the major means of distance estimation. This paper presents a non-site specific algorithm for better estim ating RSS relationship with distance. By employing a unique form of rationalization of raw RSS with respect to distance using the proposed algorithm, it is possible to enhance the reliability of RSS when employed in indoor Loc al ization Algorithms. Consequently, this paper presents an innovative RSS-Distan ce rationalization algorithm for localization of objects in an indoor environment. The paper compared the proposed algorithm with Simple Moving Average (SMA) algorithm due to the wide applicability and ease of manipulation of SMA. The analysis of the proposed algorithm and SMA shows that the proposed algorithm better modifies RSS for more accurate position estimation in an indoor environment.
- Mao, G. and Fidan, B. (2009) Introduction to Wireless Sensor Network Localization. Localization Algorithms and Strategies for Wireless Sensor Networks, 1-32. https://doi.org/10.4018/978-1-60566-396-8.ch001
- Krach, B. and Robertson, P. (2008) Integration of Foot-Mounted Inertial Sensors into a Bayesian Location Estimation Framework. 2008 5th IEEE Workshop on Positioning, Navigation and Communication (WPNC 2008), 55-61.
- Priwgharm, R. and Chemtanomwong, P. (2011) A Comparative Study on Indoor Localization Based on RSSI Measurement in Wireless Sensor Network. 2011 Eighth IEEE International Joint Conference on Computer Science and Software Engineering (JCSSE), Nakhon Pathom, 11-13 May 2011, 1-6. https://doi.org/10.1109/JCSSE.2011.5930074
- Willoughby, T.R., Kupelian, P.A., Pouliot, J., Shinohara, K., Aubin, M., Roach, M., Skrumeda, L.L., Balter, J.M., Litzenberg, D.W., Hadley, S.W., et al (2006) Target Localization and Real-Time Tracking Using the Calypso 4d Localization System in Patients with Localized Prostate Cancer. International Journal of Radiation Oncology, Biology, Physics, 65, 528-534. https://doi.org/10.1016/j.ijrobp.2006.01.050
- Merhi, Z., Nahas, M., Abdul-Nabi, S., Haj-Ali, A. and Bayoumi, M. (2013) RSSI Range Estimation for Indoor Anchor Based Localization for Wireless Sensor Networks. 2013 25th IEEE International Conference on Microelectronics (ICM), 1-4.
- Parameswaran, A.T., Husain, M.I., Upadhyaya, S., et al (2009) Is RSSI a Reliable Parameter in Sensor Localization Algorithms: An Experimental Study. Field Failure Data Analysis Workshop (F2DA09), 5.
- Ramadurai, V. and Sichitiu, M.L. (2003) Simulation-Based Analysis of a Localization Algorithm for Wireless Ad-Hoc Sensor Networks. Proceedings of the International Conference on Wireless Networks, Las Vegas, NV.
- Patwari, N., Hero III, A.O., Perkins, M., Correal, N.S. and O’dea, R.J. (2003) Relative Location Estimation in Wireless Sensor Networks. IEEE Transactions on Signal Processing, 51, 2137-2148.
- Barralet, M., Huang, X. and Sharma, D. (2009) Effects of Antenna Polarization on RSSI Based Location Identication. 2009 11th International Conference on Advanced Communication Technology (ICACT 2009), 260-265.
- Chen, Y., Pan, Q., Liang, Y. and Hu, Z. (2010) Awcl: Adaptive Weighted Centroid Target Localization Algorithm Based on RSSI in WSN. 2010 3rd IEEE International Conference on Computer Science and Information Technology (ICCSIT), Chengdu, 9-11 July 2010, 331-336. https://doi.org/10.1109/ICCSIT.2010.5565022