Exact asymptotics of distributed detection over adaptive networks

In [1], an important step toward the characterization of distributed detection over adaptive networks has been made by establishing the fundamental scaling law of the error probabilities. However, empirical evidence reported in [1] revealed that a refined asymptotic analysis is necessary in order to capture the exact impact of network connectivity on the detection performance of each individual agent. Here we address this open issue by exploiting the framework of exact asymptotics.


Published in:
International Conference on Acoustics, Speech and Signal Processing (ICASSP), 3377-3381
Presented at:
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), South Brisbane, Queensland, Australia, April 19-24, 2015
Year:
2015
Publisher:
IEEE
Laboratories:




 Record created 2017-12-19, last modified 2018-03-17


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