Title :
Decision Fusion in Mixing Two-Hop Cluster Based Wireless Sensor Networks
Author_Institution :
Dept. of Autom., Nanjing Univ. of Post & Telecommun., Nanjing, China
Abstract :
In this paper, we derive optimal likelihood based fusion rule and sub-optimal rule in mixing two-hop cluster based wireless sensor networks. The likelihood ratio rule has been shown the most optimal. However, it acquires channel knowledge and node performance which is not easily available for resource constrained sensor networks. The sub-optimal fusion rules need less computation and information. Simulation shows that sub-optimal fusion rules approach the optimal rule at different SNR.
Keywords :
protocols; sensor fusion; wireless sensor networks; SNR; cluster- based protocol; decision fusion; likelihood ratio rule approach; optimal likelihood based fusion rule; suboptimal fusion rule approach; two-hop cluster based wireless sensor network mixing; Automation; Computer networks; Fading; Intelligent networks; Intelligent sensors; Performance analysis; Relays; Sensor fusion; Telecommunication computing; Wireless sensor networks; fading channel; fusion rule; performance analysis; wireless sensor networks;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-7279-6
Electronic_ISBN :
978-1-4244-7280-2
DOI :
10.1109/ICICTA.2010.693
