Channel capacity related power allocation for distributed sensor networks with application in object classification

This publication analyzes the power allocation problem for a distributed wireless sensor network which is based on ultra-wide bandwidth communication technology. The network is used to classify target objects. In the considered scenarios, the absence, the presence, or the type of an object is observed by the sensors independently. Due to noisy communication channels, the interfered observations are fused into a reliable global decision in order to increase the overall classification probability. An approach based on information theory that aims at maximization of the mutual information is employed. It enables the analytical allocation of the given total power to the sensor nodes so as to optimize the overall classification probability. Furthermore, we demonstrate the feasibility of object classification by using the introduced power allocation method in ultra-wide bandwidth signaling and energy-efficient systems.

[1]  Shigeo Abe DrEng.  Pattern Classification , 2001, Springer London.

[2]  David G. Stork,et al.  Pattern Classification (2nd ed.) , 1999 .

[3]  G.B. Giannakis,et al.  Localization via ultra-wideband radios: a look at positioning aspects for future sensor networks , 2005, IEEE Signal Processing Magazine.

[4]  C. J. Baker,et al.  Netted radar sensing , 2005 .

[5]  Amos Lapidoth,et al.  A Foundation In Digital Communication: Index , 2009 .

[6]  A. L. Hume,et al.  Netted radar sensing , 2003 .

[7]  Thomas M. Cover,et al.  Elements of information theory (2. ed.) , 2006 .

[8]  Rick S. Blum,et al.  A distributed and energy-efficient framework for Neyman-Pearson detection of fluctuating signals in large-scale sensor networks , 2010, IEEE Journal on Selected Areas in Communications.

[9]  R. Srinivasan.  Distributed radar detection theory , 1986 .

[10]  Moe Z. Win,et al.  Ultra-wide bandwidth time-hopping spread-spectrum impulse radio for wireless multiple-access communications , 2000, IEEE Trans. Commun..

[11]  Ram M. Narayanan,et al.  UWB Noise-OFDM Netted Radar: Physical Layer Design and Analysis , 2011, IEEE Transactions on Aerospace and Electronic Systems.

[12]  L. Pescosolido,et al.  Radar sensor networks with distributed detection capabilities , 2008, 2008 IEEE Radar Conference.

[13]  Thomas M. Cover,et al.  Elements of Information Theory , 2005 .

[14]  Abdelhak M. Zoubir,et al.  Adaptive Target Detection With Application to Through-the-Wall Radar Imaging , 2010, IEEE Transactions on Signal Processing.

[15]  Gholamreza Alirezaei.  Channel capacity related power allocation for ultra-wide bandwidth sensor networks with application in object detection , 2012, 2012 IEEE International Conference on Ultra-Wideband.