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» Sensor Networks Routing via Bayesian Exploration
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IPSN
2009
Springer
14 years 3 months 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»
14 years 2 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
14 years 1 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 12 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 7 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...