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» WISENEP: A Network Processor for Wireless Sensor Networks
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BSN
2011
IEEE
233views Sensor Networks» more  BSN 2011»
12 years 8 months ago
Compressive Sensing of Neural Action Potentials Using a Learned Union of Supports
—Wireless neural recording systems are subject to stringent power consumption constraints to support long-term recordings and to allow for implantation inside the brain. In this ...
Zainul Charbiwala, Vaibhav Karkare, Sarah Gibson, ...
DCOSS
2011
Springer
12 years 8 months ago
Planning the trajectories of multiple mobile sinks in large-scale, time-sensitive WSNs
—Controlled sink mobility has been shown to be very beneficial in lifetime prolongation of wireless sensor networks (WSNs) by avoiding the typical hot-spot problem near the sink...
Wint Yi Poe, Michael Beck, Jens B. Schmitt
DATE
2010
IEEE
149views Hardware» more  DATE 2010»
14 years 1 months ago
DynAHeal: Dynamic energy efficient task assignment for wireless healthcare systems
—Energy consumption is a critical parameter in wireless healthcare systems which consist of battery operated devices such as sensors and local aggregators. The system battery lif...
Priti Aghera, Dilip Krishnaswamy, Diana Fang, Ayse...
USENIX
1994
13 years 9 months ago
Reducing File System Latency using a Predictive Approach
Despite impressive advances in file system throughput resulting from technologies such as high-bandwidth networks and disk arrays, file system latency has not improved and in many...
Jim Griffioen, Randy Appleton
PERCOM
2007
ACM
14 years 8 months ago
Sensor Scheduling for Optimal Observability Using Estimation Entropy
We consider sensor scheduling as the optimal observability problem for partially observable Markov decision processes (POMDP). This model fits to the cases where a Markov process ...
Mohammad Rezaeian