An efficient distance estimation algorithm using Kalman estimator for outdoor wireless sensor network

Author

Radhika, H. ; Bhuvaneswari, P.T.V. ; Kumar, P. Senthil

Author_Institution

Dept. of Commun. Syst., Ranipettai Eng. Coll., Walaja, India

fYear

2010

fDate

15-17 Dec. 2010

Firstpage

506

Lastpage

510

Abstract

In this paper, an accurate distance estimation for outdoor wireless sensor network is proposed. An experimental study on Radio Signal Strength (RSS) measurement has been carried out with Zigbee RF module series 1. A statistical modeling is performed to determine the best channel. From the RSS values of the best channel, the distance between the anchor & unknown node is computed using Longley-Rice and Nakagami Models. The accuracy of distance estimation is refined using one-dimensional Kalman Filter.

Keywords

Kalman filters; Zigbee; distance measurement; wireless sensor networks; Kalman estimator; Longley-Rice model; Nakagami model; RSS value; Zigbee RF module series; distance estimation algorithm; one dimensional Kalman filter; outdoor wireless sensor network; radio signal strength measurement; Accuracy; Computational modeling; Kalman filters; Mathematical model; Nakagami distribution; Propagation losses; Wireless sensor networks; Kalman Filter; Localization Algorithm; Longley-Rice model; Nakagami Model; RSS;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal and Image Processing (ICSIP), 2010 International Conference on

Conference_Location

Chennai

Print_ISBN

978-1-4244-8595-6

Type

conf

DOI

10.1109/ICSIP.2010.5697528

Filename

5697528