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» Sensor Networks Routing via Bayesian Exploration
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IPSN
2009
Springer
14 years 16 days ago
Near-optimal Bayesian localization via incoherence and sparsity
This paper exploits recent developments in sparse approximation and compressive sensing to efficiently perform localization in a sensor network. We introduce a Bayesian framework...
Volkan Cevher, Petros Boufounos, Richard G. Barani...
IROS
2006
IEEE
132views Robotics» more  IROS 2006»
13 years 11 months ago
A Bayesian Framework for Landing Site Selection during Autonomous Spacecraft Descent
– The success of a landed space exploration mission depends largely on the final landing site. Factors influencing site selection include safety, fuel-consumption, and scientific...
Navid Serrano
INFOCOM
2002
IEEE
13 years 10 months ago
Bounding the Lifetime of Sensor Networks Via Optimal Role Assignments
— A key challenge in ad-hoc, data-gathering wireless sensor networks is achieving a lifetime of several years using nodes that carry merely hundreds of joules of stored energy. I...
Manish Bhardwaj, Anantha Chandrakasan
IPSN
2011
Springer
12 years 9 months ago
Exploration of path space using sensor network geometry
In a sensor network there are many paths between a source and a destination. An efficient method to explore and navigate in the ‘path space’ can help many important routing p...
Ruirui Jiang, Xiaomeng Ban, Mayank Goswami, Wei Ze...
INFOCOM
2010
IEEE
13 years 4 months ago
Pressure Routing for Underwater Sensor Networks
—A SEA Swarm (Sensor Equipped Aquatic Swarm) is a sensor cloud that drifts with water currents and enables 4D (space and time) monitoring of local underwater events such as conta...
Uichin Lee, Paul Wang, Youngtae Noh, Luiz Filipe M...