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IPSN
2005
Springer
13 years 10 months ago
A robust architecture for distributed inference in sensor networks
— Many inference problems that arise in sensor networks require the computation of a global conclusion that is consistent with local information known to each node. A large class...
Mark A. Paskin, Carlos Guestrin, Jim McFadden
IPSN
2007
Springer
13 years 11 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...
PERCOM
2007
ACM
14 years 4 months ago
Macro Programming through Bayesian Networks: Distributed Inference and Anomaly Detection
Macro programming a distributed system, such as a sensor network, is the ability to specify application tasks at a global level while relying on compiler-like software to translat...
Marco Mamei, Radhika Nagpal
UAI
2004
13 years 6 months ago
Robust Probabilistic Inference in Distributed Systems
Probabilistic inference problems arise naturally in distributed systems such as sensor networks and teams of mobile robots. Inference algorithms that use message passing are a nat...
Mark A. Paskin, Carlos Guestrin
CONEXT
2007
ACM
13 years 8 months ago
Energy-efficient MAC and routing design in distributed beamforming sensor networks
A major task of a wireless sensor network is energy-efficient, timely, and robust dissemination of sensor readings back to the sink node. The AIDA project [1] aims to create a new...
Dimitrios Koutsonikolas, Syed Ali Raza Jafri, Y. C...