Improved distributed estimation method for environmental physical variables in static sensor networks. Issue 3 (1st September 2013)

• Record Type: Journal Article
• Authors: Mahmoud, Magdi S.; Khalid, Haris M.; Sabih, Muhammad
• Is Part Of: IET wireless sensor systems. Volume 3:Issue 3(2013)
• Page Start: 216
• Page End: 232
• Publication Date: 2013-09-01
• Subjects: error statistics -- estimation theory -- filtering theory -- FIR filters -- optimisation -- time‐varying channels -- wireless sensor networks; distributed estimation method -- environmental physical variables -- static sensor networks -- improved distributed estimation scheme -- environmental time‐variant physical variables -- estimation errors -- filter design -- performance limit -- time‐varying signal -- parameter optimisation -- finite impulse response filter -- estimation algorithm; Wireless sensor networks -- Periodicals; 681.2
• DOI: 10.1049/iet-wss.2012.0099
• Languages: English
• ISSNs: 2043-6386

Abstract

Abstract : In this study, an improved distributed estimation scheme for static sensor networks is developed. The scheme is developed for environmental time‐variant physical variables. The main contribution of this work is that the algorithm in Saber and Murray (2005), Carli et al. (2009) and Xiao et al. (2004) has been extended, and a filter has been designed with weights, such that the variance of the estimation errors is minimised, thereby improving the filter design considerably and characterising the performance limit of the filter, and thereby tracking a time‐varying signal. Moreover, certain parameter optimisation is alleviated with the application of a particular finite impulse response filter. Simulation results are showing the effectiveness of the developed estimation algorithm.