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Robust Inference In Wireless Sensor Networks, Santosh Paudel
Robust Inference In Wireless Sensor Networks, Santosh Paudel
Boise State University Theses and Dissertations
This dissertation presents a systematic approach to obtain robust statistical inference schemes in unreliable networks. Statistical inference offers mechanisms for deducing the statistical properties of unknown parameters from the data. In Wireless Sensor Networks (WSNs), sensor outputs are transmitted across a wireless communication network to the fusion center (FC) for final decision-making. The sensor data are not always reliable. Some factors may cause anomaly in network operations, such as malfunction, corruption, or compromised due to some unknown source of contamination or adversarial attacks.
Two standard component failure models are adopted in this study to describe the system vulnerability: the probabilistic …