Coherent max-log decision fusion in wireless sensor networks
- 13 May 2010
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Communications
- Vol. 58 (5), 1327-1332
- https://doi.org/10.1109/tcomm.2010.05.090100
Abstract
In this letter, we revisit the problem of distributed coherent decision fusion for wireless sensor networks where the sensors make independent decisions on the hypothesis under test and forward their decisions over noisy fading channels to the fusion center. We propose a novel fusion rule which is obtained by applying the max-log approximation to the optimal fusion rule. Furthermore, we provide a unified performance analysis of binary decision fusion which is applicable to the optimal fusion rule and various suboptimal fusion rules such as the max-log, maximal ratio combining, equal gain combining, and Chair-Varshney fusion rules. Our results show that the proposed max-log fusion rule outperforms all previously proposed suboptimal fusion rules and has a close-to-optimal performance.Keywords
This publication has 7 references indexed in Scilit:
- Multiple-Symbol Differential Decision Fusion for Mobile Wireless Sensor NetworksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2009
- Fusion of decisions transmitted over Rayleigh fading channels in wireless sensor networksIEEE Transactions on Signal Processing, 2006
- Fusion of censored decisions in wireless sensor networksIEEE Transactions on Wireless Communications, 2005
- Channel Aware Decision Fusion in Wireless Sensor NetworksIEEE Transactions on Signal Processing, 2004
- Computing error probabilities over fading channels: A unified approachEuropean Transactions on Telecommunications, 1998
- Distributed Detection and Data FusionPublished by Springer Science and Business Media LLC ,1997
- Detection with Distributed SensorsIEEE Transactions on Aerospace and Electronic Systems, 1981