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» Asynchronous Training in Wireless Sensor Networks
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IPSN
2005
Springer
14 years 2 months ago
Design of a wireless sensor network platform for detecting rare, random, and ephemeral events
— We present the design of the eXtreme Scale Mote, a new sensor network platform for reliably detecting and classifying, and quickly reporting, rare, random, and ephemeral events...
Prabal Dutta, Mike Grimmer, Anish Arora, Steven B....
BSN
2009
IEEE
149views Sensor Networks» more  BSN 2009»
14 years 3 months ago
Optimizing Interval Training Protocols Using Data Mining Decision Trees
— Interval training consists of interl intensity exercises with rest periods. This training well known exercise protocol which helps stre improve one’s cardiovascular fitness. ...
Myung-kyung Suh, Mahsan Rofouei, Ani Nahapetian, W...
MOBIHOC
2009
ACM
14 years 9 months ago
Energy-efficient capture of stochastic events by global- and local-periodic network coverage
We consider a high density of sensors randomly placed in a geographical area for event monitoring. The monitoring regions of the sensors may have significant overlap, and a subset...
Shibo He, Jiming Chen, David K. Y. Yau, Huanyu Sha...
ESA
2004
Springer
97views Algorithms» more  ESA 2004»
14 years 2 months ago
Radio Network Clustering from Scratch
Abstract. We propose a novel randomized algorithm for computing a dominating set based clustering in wireless ad-hoc and sensor networks. The algorithm works under a model which ca...
Fabian Kuhn, Thomas Moscibroda, Roger Wattenhofer
MOBICOM
2009
ACM
14 years 3 months ago
Opportunistic flooding in low-duty-cycle wireless sensor networks with unreliable links
Intended for network-wide dissemination of commands, configurations and code binaries, flooding has been investigated extensively in wireless networks. However, little work has ...
Shuo Guo, Yu Gu, Bo Jiang, Tian He