doi: 10.7763/IJCTE.2011.V3.412
An Efficient Distance Estimation Algorithm for Indoor Sensor Network
P. T. V. Bhuvaneswari
,
V. Vaidehi
- Madras Institute of Technology, Anna University, Chennai, Tamilnadu, India
Abstract
Localization in sensor networks deals with the estimation of the position of the sensor node in a network for a given incomplete and inaccurate pair-wise distance measurements. Such distance data may be acquired by a sensor node by communicating with neighboring nodes called anchor nodes whose positions are known apriori. This paper proposes a Kalman filtering based distance estimation algorithm for indoor wireless sensor networks. In this paper, the distance of the unknown node is computed based on the
Keywords
- Received signal strength
- log normal shadowing model
- ITU model
- one-dimension Kalman estimator
- cramer rao bound
How to Cite
P. T. V. Bhuvaneswari and V. Vaidehi, "An Efficient Distance Estimation Algorithm for Indoor Sensor Network," International Journal of Computer Theory and Engineering, vol. 3, no. 6, pp. 797-801, 2011. https://doi.org/10.7763/IJCTE.2011.V3.412
Copyright & License
Copyright © 2011 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).