Abstract
Localization is an important issue for Wireless Sensor Networks in a wireless sensor network. A mobile sensor may change its position rapidly and thus require localization calls frequently. It is important to control the number of localization calls, as it is rather expensive. The existing schemes for reducing the frequency of localization calls for mobile sensors uses the technique of extrapolation which involves simple arithmetic calculations. We propose a technique to control the localization that gives much better result. The proposed method involves very low arithmetic computation overheads. We find analytical expressions for the estimated error if the rate of localizations is specified. Simulation studies are carried out to compare the performances of the proposed method with the methods proposed by Tilak et al.
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
Akyldiz, I.F., Su, W., Sankarasubramaniam, Y., Cayh’ci, E.: Wh’eless Sensor Networks: A Survey. Computer Networks 38(4), 393–422 (2002)
Bulusu, N., Heidemann, J., Estrin, D.: GPS-less Low Cost Outdoor Localization For Very Small Devices. IEEE Personal Communications Magazine 7(5), 28–34 (2000)
Meguerdichian, S., Koushanfar, F., Qu, G., Potkonjak, M.: Exposure In Wireless Ad-Hoc Sensor Networks. In: Proc. 7th Int. Conf. on Mobile Computing and Networking (MobiCom 2001), Rome, Italy, July 2001, pp. 139–150 (2001)
Raghunathan, V., Schurgers, C., Park, S., Srivastava, M.B.: Energy-aware wireless microsensor networks. IEEE Signal Processing Magazine 19(2), 40–50 (2002)
Thrun, S., Fox, D., Burgard, W., Dellaert, F.: Robust Monte Carlo Localization for Mobile Robots. Artificial Intelligence (2001)
Juang, P., Oki, H., Wang, Y., Martonosi, M., Peh, L.S., Rubenstein, D.: Energy-efficient computing for wildlife tracking: design tradeoffs and early experiences with zebranet. In: Proc. of 10th Int. Conf. on Architectural Support for Programming Languages and Operating Systems (ASPLOS-X), pp. 96–107. ACM Press, New York (2002)
Tilak, S., Kolar, V., Abu-Ghazaleh, N.B., Kang, K.D.: Dynamic Localization Control for Mobile Sensor Networks. In: IEEE Int. Workshop on Strategies for Energy Efficiency in Ad-Hoc and Sensor Networks (IEEEIWSEEASN 2005) (2005)
Bergamo, P., Mazzini, G.: Localization in Sensor Networks with Fading the Mobility. IEEE PIMRC (September 2002)
Hu, L., Evans, D.: Localization in Mobile Sensor Networks. In: MobiCom, September 26-October 1 (2004)
Bettstetter, C., Wagner, C.: The spatial node distribution of the random waypoint mobility model. In: Proceedings of German Workshop on Mobile Ad Hoc networks (WMAN), March 2002, Ulm, Germany (2002)
Network Simulator: http://isi.edu/nsnam/ns
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Sau, B., Mukhopadhyaya, S., Mukhopadhyaya, K. (2006). Localization Control to Locate Mobile Sensors. In: Madria, S.K., Claypool, K.T., Kannan, R., Uppuluri, P., Gore, M.M. (eds) Distributed Computing and Internet Technology. ICDCIT 2006. Lecture Notes in Computer Science, vol 4317. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11951957_8
Download citation
DOI: https://doi.org/10.1007/11951957_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-68379-7
Online ISBN: 978-3-540-68380-3
eBook Packages: Computer ScienceComputer Science (R0)