Abstract | ||
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This paper considers signal detection in coexisting wireless sensor networks. We characterize the aggregate signal and interference from a Poisson random field of nodes and define a binary hypothesis testing problem to detect a signal in the presence of interference. For the testing problem, we introduce the maximum likelihood (ML) detector and simpler alternatives. The proposed mixed-fractional l... |
Year | DOI | Venue |
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2013 | 10.1109/JSEN.2013.2292038 | IEEE Sensors Journal |
Keywords | Field | DocType |
Detectors,Random variables,Interference,Wireless sensor networks,Sensor phenomena and characterization,Aggregates | Monte Carlo method,Random field,Detection theory,Stochastic process,Electronic engineering,Interference (wave propagation),Estimation theory,Engineering,Wireless sensor network,Detector | Journal |
Volume | Issue | ISSN |
14 | 4 | 1530-437X |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Junghoon Lee | 1 | 18 | 1.43 |
Cihan Tepedelenlioglu | 2 | 508 | 51.76 |