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» Nonparametric belief propagation for self-calibration in sen...
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IPSN
2005
Springer
14 years 29 days ago
Sensing capacity for discrete sensor network applications
We bound the number of sensors required to achieve a desired level of sensing accuracy in a discrete sensor network application (e.g. distributed detection). We model the state of...
Yaron Rachlin, Rohit Negi, Pradeep K. Khosla
ATAL
2010
Springer
13 years 8 months ago
Exploiting scale invariant dynamics for efficient information propagation in large teams
Large heterogeneous teams will often be in situations where sensor data that is uncertain and conflicting is shared across a peer-to-peer network. Not every team member will have ...
Robin Glinton, Paul Scerri, Katia P. Sycara
ICASSP
2009
IEEE
14 years 2 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
CISS
2008
IEEE
14 years 1 months ago
Distributed estimation in wireless sensor networks via variational message passing
Abstract – In this paper, a variational message passing framework is proposed for Markov random fields. Analogous to the traditional belief propagation algorithm, variational mes...
Yanbing Zhang, Huaiyu Dai
EWSN
2008
Springer
14 years 7 months ago
Efficient Clustering for Improving Network Performance in Wireless Sensor Networks
Clustering is an important mechanism in large multi-hop wireless sensor networks for obtaining scalability, reducing energy consumption and achieving better network performance. Mo...
Tal Anker, Danny Bickson, Danny Dolev, Bracha Hod