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» An algorithmic framework for network reconstruction
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NN
1998
Springer
177views Neural Networks» more  NN 1998»
15 years 4 months ago
Soft vector quantization and the EM algorithm
The relation between hard c-means (HCM), fuzzy c-means (FCM), fuzzy learning vector quantization (FLVQ), soft competition scheme (SCS) of Yair et al. (1992) and probabilistic Gaus...
Ethem Alpaydin
RTSS
2009
IEEE
15 years 11 months ago
Towards Stable Network Performance in Wireless Sensor Networks
Abstract—Many applications in wireless sensor networks require communication performance that is both consistent and high quality. Unfortunately, performance of current network p...
Shan Lin, Gang Zhou, Kamin Whitehouse, Yafeng Wu, ...
INFOCOM
2008
IEEE
15 years 11 months ago
Wireless Medium Access via Adaptive Backoff: Delay and Loss Minimization
— We consider packet transmission scheduling at the MAC-layer via adaptive backoff algorithms that are favorable in terms of queue occupancies in a wireless network. General netw...
Gardar Hauksson, Murat Alanyali
SASN
2006
ACM
15 years 10 months ago
Attack-resilient hierarchical data aggregation in sensor networks
In a large sensor network, in-network data aggregation, i.e., combining partial results at intermediate nodes during message routing, significantly reduces the amount of communic...
Sankardas Roy, Sanjeev Setia, Sushil Jajodia
INFOCOM
2007
IEEE
15 years 11 months ago
Tradeoff Between Lifetime and Rate Allocation in Wireless Sensor Networks: A Cross Layer Approach
— This paper studies the tradeoff between energy consumption and application performance in wireless sensor networks by investigating the interaction between network lifetime max...
Junhua Zhu, Shan Chen, Brahim Bensaou, Ka-Lok Hung