Foresee (4C): Wireless link prediction using link features

Proceedings of the 10th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN'11

Volumn , Issue , 2011, Pages 294-305

  Liu, Tao ^a   Cerpa, Alberto E ^a  

^a University of California   (United States)

Author keywords

Link quality estimation; Link quality prediction

Indexed keywords

AVERAGE COST; COMPUTATIONAL COSTS; DATA COLLECTION; DATA-DRIVEN; DYNAMIC NATURE; INTEGRAL PART; LINK ESTIMATION; LINK FEATURES; LINK QUALITY; LINK QUALITY INDICATORS; LOGISTIC REGRESSIONS; MACHINE LEARNING METHODS; NAIVE BAYES CLASSIFIERS; OFF-LINE MODELING; OFFLINE; ONLINE PREDICTION; PHYSICAL LAYERS; PREDICTION MODEL; RECEIVED SIGNAL STRENGTH INDICATORS; RECEIVER-INITIATED; RELIABLE COMMUNICATION; THREE MODELS; WIRELESS CHANNEL; WIRELESS LINK;

COST BENEFIT ANALYSIS; DATA ACQUISITION; ESTIMATION; EXPERIMENTS; LEARNING SYSTEMS; MATHEMATICAL MODELS; MODELS; NEURAL NETWORKS; REGRESSION ANALYSIS; SENSORS; SIGNAL TO NOISE RATIO; WIRELESS SENSOR NETWORKS;

FORECASTING;

EID: 79959305726     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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