A distributed and energy-efficient framework for Neyman-Pearson detection of fluctuating signals in large-scale sensor networks

IEEE Journal on Selected Areas in Communications

Volumn 28, Issue 7, 2010, Pages 1149-1158

  Yang, Yang ^a   Blum, Rick S ^a   Sadler, Brian M ^b  

^a Lehigh University   (United States)

^b U S ARMY RESEARCH LABORATORY   (United States)

Author keywords

Distributed routing; distributed scheduling; Kullback Leibler distance; Neyman Pearson criterion; signal detection; wireless sensor networks

Indexed keywords

DISTRIBUTED ROUTING; DISTRIBUTED SCHEDULING; KULLBACK-LEIBLER DISTANCE; NEYMAN - PEARSON CRITERION; WIRELESS SENSOR;

ENERGY EFFICIENCY; FRUITS; NETWORK LAYERS; NETWORK PROTOCOLS; REAL TIME SYSTEMS; SCHEDULING; SENSOR NETWORKS; SENSOR NODES; SIGNAL DETECTION; SIGNAL PROCESSING; TELECOMMUNICATION EQUIPMENT; TRACKING RADAR;

WIRELESS SENSOR NETWORKS;

EID: 77956218074     PISSN: 07338716     EISSN: None     Source Type: Journal    
DOI: 10.1109/JSAC.2010.100919     Document Type: Article

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