Title | ||
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Robustness of the Counting Rule for Distributed Detection in Wireless Sensor Networks. |
Abstract | ||
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We consider the problem of energy-efficient distributed detection to infer the presence of a target in a wireless sensor network and analyze its robustness to modeling uncertainties. The sensors make noisy observations of the target's signal power, which follows the isotropic power-attenuation model. Binary local decisions of the sensors are transmitted to a fusion center, where a global inference... |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/LSP.2018.2850529 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Uncertainty,Wireless sensor networks,Robustness,Detectors,Sensor fusion,Attenuation | Wireless,Pattern recognition,Robustness (computer science),Sensor fusion,Real-time computing,Fusion center,Artificial intelligence,Attenuation,Wireless sensor network,Detector,Mathematics,Binary number | Journal |
Volume | Issue | ISSN |
25 | 8 | 1070-9908 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Abhinav Goel | 1 | 0 | 0.34 |
Adarsh Patel | 2 | 20 | 6.46 |
Kyatsandra G. Nagananda | 3 | 8 | 2.93 |
Pramod K. Varshney | 4 | 6689 | 594.61 |