Capacity of Data Collection in Wireless Sensor Networks Based on Mutual Information and MMSE Estimation. (17th February 2014)

• Record Type: Journal Article
• Authors: Arifin, Ajib Setyo; Ohtsuki, Tomoaki
• Other Names: Chen T.-S. Academic Editor.; Li J. Academic Editor.; Yu Y. Academic Editor.
• Is Part Of: ISRN sensor networks. Volume 2014(2014)
• Publication Date: 2014-02-17
• Subjects: Sensor networks -- Periodicals; Wireless sensor networks -- Periodicals; Sensor networks; Wireless sensor networks; Periodicals; 006.25
• DOI: 10.1155/2014/389451
• Languages: English
• ISSNs: 2090-7745

Abstract

Abstract : We investigate the properties of data collection in wireless sensor networks, in terms of both capacity and power allocation strategy. We consider a scenario in which a number of sensors observe a target being estimated at fusion center (FC) using minimum mean-square error (MMSE) estimator. Based on the relationship between mutual information and MMSE (I-MMSE), the capacity of data collection in coherent and orthogonal multiple access channel (MAC) models is derived. Considering power constraint, the capacity is derived under two scenarios: equal power allocation and optimal power allocation of both models. We provide the upper bound of capacity as a benchmark. In particular, we show that the capacity of data collection scales as Θ((1/2)log( 1 + L ) ) when the number of sensors L grows to infinity. We show through simulation results that for both coherent and orthogonal MAC models, the capacity of the optimal power is larger than that of the equal power. We also show that the capacity of coherent MAC is larger than that of orthogonal MAC, particularly when the number of sensors L is large and the total power P is fixed.