Single Beacon Indoor Localization System Based on Counter-Synchronized Compass and RSSI

Abstract:

Article Preview

Indoor localization system has been a popular research area in recent decades and many of them are based on multiple beacons localization method. However, there are some special applications to which the multiple beacons method is not an optimal solution due to its overdesign and cost of redundancy. Multiple beacons method uses at least three transducers and each transducer’s location must be known to find the location of a target object by using either Triangulation or Trilateration calculation. When the multiple beacons method is applied in an items lost and found system, the precise Cartesian coordinates of a target item can be found, but it is definitely overdesign and incurring redundant cost. It is due to the fact that the target item requires only two simple information i.e. Clock orientation and distance information; therefore, single beacon is enough for the task. In this paper, we propose a single beacon localization method to optimize the solution in the items lost and found system by utilizing clock orientation and estimated distance information. The proposed single beacon localization algorithm has been demonstrated and proven that it can be one of the optimal solutions for items lost and found system.

Info:

Periodical:

Edited by:

Bale V. Reddy, Shishir Kumar Sahu, A. Kandasamy and Manuel de La Sen

Pages:

217-222

Citation:

K. S. Eu et al., "Single Beacon Indoor Localization System Based on Counter-Synchronized Compass and RSSI", Applied Mechanics and Materials, Vol. 627, pp. 217-222, 2014

Online since:

September 2014

Export:

Price:

$38.00

* - Corresponding Author

[1] K. Chintalapudi, A. Padmanabha Iyer, and V. N. Padmanabhan, Indoor localization without the pain, " Proc. Sixt. Annu. Int. Conf. Mob. Comput. Netw. - MobiCom , 10, p.173, (2010).

DOI: https://doi.org/10.1145/1859995.1860016

[2] D. Anzai, S. Hara, and A. S. Model, An RSSI-Based MAP Localization Method with Channel Parameters Estimation in Wireless Sensor Networks, p.1–5, (2009).

DOI: https://doi.org/10.1109/vetecs.2009.5073388

[3] Home items lost and found system, Tile., [Online]. Available: http: /www. thetileapp. com/. [Accessed: 22-Mar-2014].

[4] J. Peusaari, R. Kelkka, and J. Ikonen, An access control and time management software solution using RFID, " Proc. Int. Conf. Comput. Syst. Technol. Work. PhD Students Comput. - CompSysTech , 09, p.1, (2009).

DOI: https://doi.org/10.1145/1731740.1731795

[5] F. Köbler, P. Koene, H. Krcmar, M. Altmann, and J. M. Leimeister, LocaTag - An NFC-Based System Enhancing Instant Messaging Tools with Real-Time User Location, 2010 Second Int. Work. Near F. Commun., p.57–61, (2010).

DOI: https://doi.org/10.1109/nfc.2010.20

[6] M. Ciurana, F. Barceló, and S. Cugno, Multipath profile discrimination in TOA-based WLAN ranging with link layer frames, " Proc. 1st Int. Work. Wirel. Netw. testbeds, Exp. Eval. Charact. - WiNTECH , 06, p.73, (2006).

DOI: https://doi.org/10.1145/1160987.1161001

[7] Y. -C. Cheng, Y. Chawathe, A. LaMarca, and J. Krumm, Accuracy characterization for metropolitan-scale Wi-Fi localization, " Proc. 3rd Int. Conf. Mob. Syst. Appl. Serv. - MobiSys , 05, p.233, (2005).

DOI: https://doi.org/10.1145/1067170.1067195

[8] R. Kay, The Lighthouse Location System for Smart Dust, in Proceedings of the 1st international conference on Mobile systems, applications and services, 2003, no. 5005, p.15–30.

DOI: https://doi.org/10.1145/1066116.1189036

[9] J. Graefenstein, A. Albert, P. Biber, and A. Schilling, Wireless node localization based on RSSI using a rotating antenna on a mobile robot, 2009 6th Work. Positioning, Navig. Commun., vol. 2009, p.253–259, Mar. (2009).

DOI: https://doi.org/10.1109/wpnc.2009.4907835

[10] H. Chang, J. Tian, T. -T. Lai, H. -H. Chu, and P. Huang, Spinning beacons for precise indoor localization, " Proc. 6th ACM Conf. Embed. Netw. Sens. Syst. - SenSys , 08, p.127, (2008).

DOI: https://doi.org/10.1145/1460412.1460426

[11] Z. Zhang, X. Zhou, W. Zhang, Y. Zhang, and G. Wang, I Am the Antenna : Accurate Outdoor AP Location using Smartphones, in Proceedings of the 17th annual international conference on Mobile computing and networking, 2011, p.109–120.

DOI: https://doi.org/10.1145/2030613.2030626

[12] S. E. Webster, J. M. Walls, S. Member, L. L. Whitcomb, R. M. Eustice, and S. Member, Decentralized Extended Information Filter for Single-Beacon Cooperative Acoustic Navigation : Theory and Experiments, Robot. IEEE Trans., vol. 29, no. 4, p.957–974, (2013).

DOI: https://doi.org/10.1109/tro.2013.2252857

[13] V. Ivanov, Measuring Range of ZigBee Modules : Myths and Reality, M2M PreMier. [Online]. Available: http: /www. m2mpremier. com/uploadFiles/MeshNetics_WP_Ivanov_May07. pdf. [Accessed: 22-Mar-2014].

[14] C. Faulkner and L. Neal, Building a low cost reference platform-based wireless Zigbee design EE Times, " EE Times. [Online]. Available: http: /www. eetimes. com/document. asp, doc_id=1271846. [Accessed: 22-Mar-2014].