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UAI
2004
13 years 7 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
ICASSP
2009
IEEE
14 years 1 months ago
Structured variational methods for distributed inference in wireless ad hoc and sensor networks
Abstract –In this paper, a variational message passing framework is proposed for Markov random fields, which is computationally more efficient and admits wider applicability comp...
Yanbing Zhang, Huaiyu Dai
WICON
2008
13 years 7 months ago
SAMPL: a simple aggregation and message passing layer for sensor networks
In recent years, wireless sensor networking has shown great promise in applications ranging from industrial control, environmental monitoring and inventory tracking. Given the res...
Anthony Rowe, Karthik Lakshmanan, Ragunathan Rajku...
ISCAPDCS
2007
13 years 7 months ago
Distributed algorithms for dynamic coverage in sensor networks
The coverage problem is of great interest for many sensor network applications, for example, detection of intruders in the sensor field. Topological changes in sensor networks ma...
Lan Lin, Hyunyoung Lee
SEFM
2008
IEEE
14 years 19 days ago
Tagging Make Local Testing of Message-Passing Systems Feasible
The only practical way to test distributed messagepassing systems is to use local testing. In this approach, used in formalisms such as concurrent TTCN-3, some components are repl...
Puneet Bhateja, Madhavan Mukund