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» Decentralized Learning in Wireless Sensor Networks
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MIDDLEWARE
2007
Springer
15 years 3 months ago
A node discovery service for partially mobile sensor networks
Wireless Sensor Networks (WSNs) are challenging types of networks where resources can be scarce. In particular, battery is often a very limited resource and the radio interface is...
Vladimir Dyo, Cecilia Mascolo
HICSS
2008
IEEE
113views Biometrics» more  HICSS 2008»
15 years 4 months ago
MONSOON: A Coevolutionary Multiobjective Adaptation Framework for Dynamic Wireless Sensor Networks
Wireless sensor applications (WSNs) are often required to simultaneously satisfy conflicting operational objectives (e.g., latency and power consumption). Based on an observation...
Pruet Boonma, Junichi Suzuki
IFIP12
2009
14 years 7 months ago
Use of AI Techniques for Residential Fire Detection in Wireless Sensor Networks
: Early residential fire detection is important for prompt extinguishing and reducing damages and life losses. To detect fire, one or a combination of sensors and a detection algor...
Majid Bahrepour, Nirvana Meratnia, Paul J. M. Havi...
AINA
2007
IEEE
14 years 9 months ago
Detecting Anomaly Node Behavior in Wireless Sensor Networks
Wireless sensor networks are usually deployed in a way “once deployed, never changed”. The actions of sensor nodes are either pre-scheduled inside chips or triggered to respon...
Qinghua Wang, Tingting Zhang
86
Voted
ISCC
2006
IEEE
112views Communications» more  ISCC 2006»
15 years 3 months ago
The Precision and Energetic Cost of Snapshot Estimates in Wireless Sensor Networks
— Even for a specific application, the design space of wireless sensor networks is enormous, and traditional disciplinary boundaries are disappearing in the search for efficien...
Paul G. Flikkema