Paper Info
Title
Optimum Decision Fusion In Cognitive Wireless Sensor Networks With Unknown Users Location
Abstract
We consider a cooperative cognitive wireless network scenario where a primary wireless network is co-located with a cognitive (or secondary) network. In the considered scenario, the nodes of the secondary network make local binary decisions about the presence of a signal emitted by a primary node. Then, they transmit their decisions to a fusion center (FC). The final decision about the channel state is up to the FC by means of a proper fusion rule.In this scenario, we derive the optimum decision strategy for the FC and the optimum local decision thresholds of the secondary nodes in a Neyman-Pearson setup. In particular, the overall system performance are derived by making the realistic assumption that the position of the primary user is completely unknown to the FC.
Year
Venue
Field
2015
2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP)
Radio resource management,Wireless network,Key distribution in wireless sensor networks,Computer science,Computer network,Wireless WAN,Mobile wireless sensor network,Wireless sensor network,Cognitive radio,Cognitive network
DocType
ISSN
Citations 
Conference
1520-6149
0
PageRank 
References 
Authors
0.34
3
2
Name
Order
Citations
PageRank
Andrea Abrardo137647.39
M. Barni23091246.21