Abstract
One of the most important performance objectives for a localization system is positional accuracy. It is fundamental and essential to general location-aware services. The radio interferometric positioning (RIP) method [1] is an exciting approach which promises sub-meter positional accuracy. In this work, we would like to enhance the RIP method by dynamically selecting the optimal anchor nodes as beacon senders to further optimizing the positional accuracy when tracking targets. We have developed an estimation error model to predict positional error of the RIP algorithm given different combinations of beacon senders. Building upon this estimation error model, we further devise an adaptive RIP method that selects the optimal sender-pair combination (SPC) according to the locations of targets relative to anchor nodes. We have implemented the adaptive RIP method and conducted experiments in a real sensor network testbed. Experimental results have shown that our adaptive RIP method outperforms the static RIP method in both single-target and multi-target tracking, and improves the average positional accuracy by 47%~60% and reduces the 90% percentile error by 55%~61%.
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References
Maroti, M., Kusy, B., Balogh, G., Volgyesi, P., Nadas, A., Molnar, K., Dora, S., Ledeczi, A.: Radio-interferometric geolocation. In: Proc. 3rd Int’l Conference Conf. Embedded Networked Sensor Systems (SenSys 2005), November 2005, pp. 1–12 (2005)
Kusy, B., Maroti, M., Balogh, G., Volgyesi, P., Sallai, J., Nadas, A., Ledeczi, A., Meertens, L.: Node Density Independent Localization. In: Proc. 5th Int’l Conf. Information Processing in Sensor Networks (IPSN/SPOTS 2006), April 2006, pp. 441–448 (2006)
Kusy, B., Balogh, G., Ledeczi, A., Sallai, J., Maroti, M.: inTrack: High Precision Tracking of Mobile Sensor Nodes. In: Langendoen, K., Voigt, T. (eds.) EWSN 2007. LNCS, vol. 4373, pp. 51–66. Springer, Heidelberg (2007)
Kusy, B., Sallai, J., Balogh, G., Ledeczi, A., Protopopescu, V., Tolliver, J., DeNap, F., Parang, M.: Radio Interferometric Tracking of Mobile Wireless Nodes. In: Proc. 5th Int’l Conf. Mobile systems, applications and services (MobiSys 2007), June 2007 (2007)
Cong, L., Zhuang, W.: Hybrid TDOA/AOA mobile user location for ideband CDMA cellular systems. IEEE Tran. Wireless Communications 1(3), 439–447 (2002)
Patwari, N.: Relative location estimation in wireless sensor networks. IEEE Tran. Signal processing 51(8), 2137–2148 (2003)
Niculescu, D.: Positioning in ad hoc sensor networks. IEEE Networks 18(4), 24–29 (2004)
Bahl, P., Padmanabhan, V.: An in building RF-based user location and tracking system. In: Proc. Conf. Computer Communications (IEEE Infocom 2000), March 2000, pp. 775–784 (2000)
Lorincz, K., Welsh, M.: Motetrack: A robust, decentralized approach to RF-based location tracking. In: Strang, T., Linnhoff-Popien, C. (eds.) LoCA 2005. LNCS, vol. 3479, pp. 63–82. Springer, Heidelberg (2005)
Priyantha, N., Charkraborty, A., Balakrishnan, H.: The cricket location support system. In: Proc. 6th Int’l Conf. Mobile Computing and Networking (MOBICOM 2000), August, pp. 32-43 (2000)
3rd Generation Partnership Project, 3GPP TS 05.05, http://www.3gpp.org/
Römer, K.: The lighthouse location system for smart dust. Proc. 1st Int’l Conf. Mobile systems, applications and services (MobiSys 2003), May 2003, pp. 15-30 (2003)
Stoleru, R., He, T., Stankovic, J.A., Luebke, D.: A high-accuracy, lowcost localization system for wireless sensor networks. In: Proc. 3rd Int’l Conference Conf. Embedded Networked Sensor Systems (SenSys 2005), pp. 13–26 (2005)
He, T., Huang, C., Blum, B.M., Stankovic, J.A., Abdelzaher, T.: Range-Free Localization Schemes in Large-Scale Sensor Networks. In: Proc. 9th annual Int’l Conf. Mobile computing and networking (MOBICOM 2003), pp. 81–95 (September 2003)
Zhou, G., He, T., Stankovic, J.A.: Impact of Radio Irregularity on Wireless Sensor Networks. In: Proc. 2nd Int’l Conf. Mobile systems, applications and services (MobiSys 2004), June 2004, pp. 125–138 (2004)
Girod, L., Lukac, M., Trifa, V., Estrin, D.: The design and implementation of a self-calibrating acoustic sensing platform. In: Proc. 4th Int’l Conference Conf. Embedded Net-worked Sensor Systems (SenSys 2006), October 2006, pp. 71–84 (2006)
Savvides, A., Han, C.C., Srivastava, M.B.: Dynamic Fine-grained Localization in Ad-Hoc Networks of Sensors. In: Proc. 7th annual Int’l Conf. Mobile computing and net-working (MOBICOM 2001), July 2001, pp. 166–179 (2001)
Patwari, N., Hero, A.O., Perkins, I.M., Correal, N.S., O’Dea, R.J.: Relative location estimation in wireless sensor networks. IEEE Tran. Signal Process, Special Issue on Signal Processing in Networking 51(9), 2137–2148 (2003)
Dragos, N., Nath, B.: Ad hoc positioning system (APS) using AoA. In: Dragos, N., Nath, B. (eds.) Proc. Conf. Computer Communications (IEEE Infocom 2003), April 2003, pp. 1734–1743 (2003)
RIPS, http://tinyos.cvs.sourceforge.net/tinyos/tinyos-1.x/contrib/vu/apps/RipsOneHop/
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Wu, Hj., Chang, Hl., You, Cw., Chu, Hh., Huang, P. (2007). Modeling and Optimizing Positional Accuracy Based on Hyperbolic Geometry for the Adaptive Radio Interferometric Positioning System. In: Hightower, J., Schiele, B., Strang, T. (eds) Location- and Context-Awareness. LoCA 2007. Lecture Notes in Computer Science, vol 4718. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75160-1_14
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DOI: https://doi.org/10.1007/978-3-540-75160-1_14
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