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IPSN
2007
Springer
15 years 3 months ago
Robust message-passing for statistical inference in sensor networks
Large-scale sensor network applications require in-network processing and data fusion to compute statistically relevant summaries of the sensed measurements. This paper studies di...
Jeremy Schiff, Dominic Antonelli, Alexandros G. Di...
SENSYS
2009
ACM
15 years 4 months ago
Evaluating a BASIC approach to sensor network node programming
Sensor networks have the potential to empower domain experts from a wide range of fields. However, presently they are notoriously difficult for these domain experts to program, ...
J. Scott Miller, Peter A. Dinda, Robert P. Dick
SASN
2006
ACM
15 years 3 months ago
RANBAR: RANSAC-based resilient aggregation in sensor networks
We present a novel outlier elimination technique designed for sensor networks. This technique is called RANBAR and it is based on the RANSAC (RANdom SAmple Consensus) paradigm, wh...
Levente Buttyán, Péter Schaffer, Ist...
TWC
2010
14 years 4 months ago
Distributed Node Selection for Sequential Estimation over Noisy Communication Channels
This paper proposes a framework for distributed sequential parameter estimation in wireless sensor networks. In the proposed scheme, the estimator is updated sequentially at the c...
Thakshila Wimalajeewa, Sudharman K. Jayaweera
70
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IJCNN
2000
IEEE
15 years 2 months ago
Neural Networks for Novelty Detection in Airframe Strain Data
The structural health of airframes is often monitored by analysis of the frequency of occurrence matrix (FOOM) produced after each flight. Each cell in the matrix records a stres...
Simon J. Hickinbotham, James Austin