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» Constructing minimum-interference networks
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143
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JPDC
2007
147views more  JPDC 2007»
15 years 3 months ago
Energy optimal data propagation in wireless sensor networks
We propose an algorithm to compute the optimal parameters of a probabilistic data propagation algorithm for wireless sensor networks (WSN). The probabilistic data propagation algo...
Olivier Powell, Pierre Leone, José D. P. Ro...
147
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TELSYS
2002
131views more  TELSYS 2002»
15 years 3 months ago
Call Blocking Performance Study for PCS Networks under More Realistic Mobility Assumptions
Abstract. In the micro-cell-based PCS networks, due to the high user mobility, handoffs occur more frequently. Hence, the classical assumptions, such as the exponential assumptions...
Helen Zeng, Yuguang Fang, Imrich Chlamtac
FUIN
2008
108views more  FUIN 2008»
15 years 2 months ago
Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques
Causal relations are present in many application domains. Causal Probabilistic Logic (CP-logic) is a probabilistic modeling language that is especially designed to express such rel...
Wannes Meert, Jan Struyf, Hendrik Blockeel
INFOCOM
2010
IEEE
15 years 2 months ago
Topology Control for Effective Interference Cancellation in Multi-User MIMO Networks
—In Multi-User MIMO networks, receivers decode multiple concurrent signals using Successive Interference Cancellation (SIC). With SIC a weak target signal can be deciphered in th...
Ece Gelal, Konstantinos Pelechrinis, Tae-Suk Kim, ...
146
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TJS
2010
182views more  TJS 2010»
15 years 2 months ago
A novel unsupervised classification approach for network anomaly detection by k-Means clustering and ID3 decision tree learning
This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
Yasser Yasami, Saadat Pour Mozaffari