6533b7cffe1ef96bd1258d20
RESEARCH PRODUCT
Adaptive consensus-based distributed detection in WSN with unreliable links
Daniel Alonso-romanBaltasar Beferull-lozanosubject
0209 industrial biotechnologyEvent (computing)business.industryComputer scienceDistributed computingDetector020206 networking & telecommunications02 engineering and technologyKey distribution in wireless sensor networks020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineeringbusinessWireless sensor networkComputer networkdescription
Event detection is a crucial tasks in wireless sensor networks. The importance of a fast response makes distributed strategies, where nodes exchange information just with their one-hop neighbors to reach local decisions, more adequate than schemes where all nodes send observations to a central entity. Distributed detectors are usually based on average consensus, where all nodes iteratively communicate to asymptotically agree on a final result. In a realistic scenario, communications are subject to random failures, which impacts the performance of the consensus. We propose an alternative detector, which adapts to the statistical properties of the consensus and compensate deviations from the average. Simulation results show that this adaptive detector improves the performance and approximates to the one of the optimal detector.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2016-03-01 | 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |