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98
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CCR
2004
168views more  CCR 2004»
14 years 10 months ago
Coping with irregular spatio-temporal sampling in sensor networks
Wireless sensor networks have attracted attention from a diverse set of researchers, due to the unique combination of distributed, resource and data processing constraints. Howeve...
Deepak Ganesan, Sylvia Ratnasamy, Hanbiao Wang, De...
103
Voted
IJSNET
2007
155views more  IJSNET 2007»
14 years 10 months ago
Distributed Bayesian fault diagnosis of jump Markov systems in wireless sensor networks
: A Bayesian distributed online change detection algorithm is proposed for monitoring a dynamical system by a wireless sensor network. The proposed solution relies on modelling the...
Hichem Snoussi, Cédric Richard
ICDCS
2009
IEEE
15 years 7 months ago
CLIQUE: Role-Free Clustering with Q-Learning for Wireless Sensor Networks
Clustering and aggregation inherently increase wireless sensor network (WSN) lifetime by collecting information within a cluster at a cluster head, reducing the amount of data thr...
Anna Förster, Amy L. Murphy
112
Voted
IPSN
2004
Springer
15 years 3 months ago
The impact of spatial correlation on routing with compression in wireless sensor networks
The efficacy of data aggregation in sensor networks is a function of the degree of spatial correlation in the sensed phenomenon. While several data aggregation (i.e., routing with...
Sundeep Pattem, Bhaskar Krishnamachari, Ramesh Gov...
SIGMOD
2004
ACM
154views Database» more  SIGMOD 2004»
15 years 10 months ago
Compressing Historical Information in Sensor Networks
We are inevitably moving into a realm where small and inexpensive wireless devices would be seamlessly embedded in the physical world and form a wireless sensor network in order t...
Antonios Deligiannakis, Yannis Kotidis, Nick Rouss...