Elimination of Gaussian noise using entropy function for a RSSI based localization

Author

Patri, Ashutosh ; Rath, Satish Prasad

Author_Institution

Dept. of Min. Eng., Nat. Inst. of Technol., Rourkela, India

fYear

2013

fDate

9-11 Dec. 2013

Firstpage

690

Lastpage

694

Abstract

In this paper a novel algorithm is proposed for nearly precise localization of a mobile sensor node from less number of low cost anchor nodes, using the received signal strength Index (RSSI) of a very high frequency wireless signal. Often the loss of signal, called as the shadow fading generates spurious data in RSSI, due to Gaussian noise, which is removed using entropy function. The viability of the proposed system is practically experimented. The error analysis is done using analysis of variance (ANOVA) method for the proper validation of results obtained.

Keywords

Gaussian noise; entropy; error analysis; mobile radio; statistical analysis; wireless sensor networks; ANOVA method; Gaussian noise; RSSI based localization; analysis of variance method; entropy function; error analysis; high frequency wireless signal; low cost anchor node; mobile sensor node; received signal strength Index; Conferences; Entropy; Fading; Gaussian noise; Mobile nodes; Wireless sensor networks; ANOVA; Entropy; Gaussian Noise; RSSI;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Information Processing (ICIIP), 2013 IEEE Second International Conference on

Conference_Location

Shimla

Print_ISBN

978-1-4673-6099-9

Type

conf

DOI

10.1109/ICIIP.2013.6707684

Filename

6707684