Abstract
Thanks to the development of wireless communication and sensor technology, a smart object that is embedded sensors and/or communication equipment in objects that we use in daily lives is researched. Also the Internet of Things (IoT) is a networking technology by using the smart objects and attracts high attention. Furthermore, a smart home which consists of these technologies is expected to be spread widely. In the smart home, it is important to get the information of location/position accurately in order to provide services based on the information of person or object. One of the most popular methods for estimating the position of person or object, the Receive Signal Strength Indicator (RSSI) method is used for many systems. RSSI method uses a behavior that strength of a signal from beacon node is inversely proportional to distance. However, the location of the wireless nodes which receive a signal has to fix and be discovered in advance. Therefore if the nodes are moved from an original position, the person or object cannot be detected accurately. Accordingly, we propose a method that estimating the positions of moved nodes and updating the position information by adding node for the RSSI positioning method. Currently, we have performed preliminary implementation of the system. In the future we will finish the implementation of the methods designed in the paper and evaluate the methods in details.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Bulush, N., Heidemann, J., Estrin, D.: GPS-less Low Cost Outdoor Localization For Very Small Devices. IEEE Personal Communications Magazine, Special Issue on Smart Spaces and Environments (2000)
Niculescu, D., Nath, B.: DV Based Positioning in Ad Hoc Networks. Telecommunication Systems 22(1-4), 267–280 (2003)
He, T., Huang, C., Blum, B.M., Stankovic, J.A., Abdelzaher, T.: Range-Free Localization Schemes for Large Scale Sensor Networks. In: Proc. ACM MOBICOM, pp. 81–95 (2003)
He, T., Huang, C., Blum, B.M., Stankovic, J.A., Abdelzaher, T.F.: Range-Free Localization and Its Impact on Large Scale Sensor Networks. ACM Transactions on Embedded Computing Systems 4(4), 877–906 (2005)
Ward, A., Jones, A., Hopper, A.: A New Location Technique for the Active Office. IEEE Personal Communications 4(5), 42–47 (1997)
Priyantha, N.B., Chakraborty, A., Balakrishnan, H.: The Cricket Location-Support System. In: Proc. ACM MOBICOM, pp. 32–43 (2000)
Niculescu, D., Nath, B.: Ad Hoc Positioning System (APS) Using AOA. In: Proc. IEEE INFOCOM, pp. 1734–1743 (2003)
Bahl, P., Padmanabhan, V.N.: RADAR: An In-Building RF-based User Location and Tracking System. In: Proc. IEEE INFOCOM, pp. 775–784 (2002)
Guo, Z., Guo, Y., Hong, F., Jin, Z., He, Y., Feng, Y., Liu, Y.: Perpendicular Intersection: Locating Wireless Sensors With Mobile Beacon. IEEE Transactions on Vehicular Technology 59(7), 3501–3509 (2010)
Savvides, A., Han, C.C., Strivastava, M.B.: Dynamic Fine-Grained Localization in Ad-Hoc Networks of Sensors. In: Proc. ACM MOBICOM, pp. 166–179 (April 2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Yoshida, T., Wang, J., Cheng, Z. (2011). A Position Correction Method for RSSI Based Indoor-Localization. In: Kikuchi, S., Madaan, A., Sachdeva, S., Bhalla, S. (eds) Databases in Networked Information Systems. DNIS 2011. Lecture Notes in Computer Science, vol 7108. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25731-5_22
Download citation
DOI: https://doi.org/10.1007/978-3-642-25731-5_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25730-8
Online ISBN: 978-3-642-25731-5
eBook Packages: Computer ScienceComputer Science (R0)