Abstract
Since all anchor-based range-free localization algorithms require estimating the distance from an unknown node to an anchor node, such estimation is crucial for localizing nodes in environments as wireless sensor networks. We propose a new algorithm, named EDPM (Estimating Distance using a Probability Model), to estimate the distance from an unknown node to an anchor node. Simulation results show that EDPM reaches a slightly higher accuracy for distance estimation than the traditional algorithms for regularly shaped networks, but reveals significantly higher accuracy for irregularly shaped networks.
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.
Similar content being viewed by others
References
Niculescu, D., Nath, B.: DV Based Positioning in Ad hoc Networks. Journal of Telecommunication Systems 22(1-4), 267–280 (2003)
He, T., et al.: Range-free localization schemes in large scale sensor networks. In: 9th Annual International Conference on Mobile Computing and Networking, USA (2003)
Ji, W., Liu, Z.: Study on the Application of DV-Hop Localization Algorithms to Random Sensor Networks. Journal of Electronics & Information Technology 30(4) (April 2008)
Niu, Y., Zhang, S., Xu, X., Huo, H., Gao, S.: An Enhanced DV-hop Localization Algorithm for Irregularly Shaped Sensor Networks. In: Zhang, H., Olariu, S., Cao, J., Johnson, D.B. (eds.) MSN 2007. LNCS, vol. 4864, pp. 694–704. Springer, Heidelberg (2007)
Guo, Y., et al.: Hop-based Refinement Algorithm for Localization in Wireless Sensor Networks. Computer Engineering 35(3), 145–147 (2009)
Cheng, K.-Y., et al.: Improving aps with anchor selection in anisotropic sensor networks. In: International Conference on Networking and Services, pp. 49–49 (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Huang, G., Delicato, F.C., Pires, P.F., Zomaya, A.Y. (2012). Probabilistic Distance Estimation in Wireless Sensor Networks. In: Sénac, P., Ott, M., Seneviratne, A. (eds) Mobile and Ubiquitous Systems: Computing, Networking, and Services. MobiQuitous 2010. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 73. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29154-8_39
Download citation
DOI: https://doi.org/10.1007/978-3-642-29154-8_39
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29153-1
Online ISBN: 978-3-642-29154-8
eBook Packages: Computer ScienceComputer Science (R0)