Field of Research: Wireless Communication Networks
Name of author (S): Ali Jamoos and Hikmat Bashar Husain
Title of published work: “Fusion of Likelihood Ratio Test Based Decisions in Wireless Sensor Networks”
Name of Journal: In proceedings of the IEEE International Conference on Communications, Signal Processing, and their Applications (ICCSPA)
Year: 2015
Pages: 5
Publisher’s name and address: IEEE
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=7081287&queryText%3D7081287
Abstract:
In this paper, the problem of fusion of decisions transmitted over Rayleigh fading channels in wireless sensor networks (WSNs) is revisited. The likelihood ratio test (LRT) is considered as the optimal fusion rule when applied at the fusion center. However, applying the LRT at the fusion center requires both the channel state information (CSI) and the local sensors performance indices. Acquiring these information is considered as an overhead in a energy and bandwidth constrained systems such as WSNs. To avoid these drawbacks, we propose a modification to the traditional three-layer system model of WSN where the LRT is applied as a local decision method at the sensors level and an equal gain combiner (EGC) is used as a fusion rule at the fusion center. Applying the LRT at the sensor level does not require the CSI or the local sensors performance indices. It only requires the signal-to-noise ratio (SNR). Simulation results show that the performance of the proposed model outperforms the traditional model that applies either the maximal radio combiner (MRC) or Chair-Varshney fusion rules. In addition, it provides comparable performance to the traditional model that applies the LRT at the fusion center.
Contact info of the contact author:
Name: Ali Jamoos
Address: Department of Electronic and Communication Engineering
Faculty of Engineering
Al-Quds University
E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
