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WINET
2010
159views more  WINET 2010»
15 years 3 months ago
Approximation algorithm for minimal convergecast time problem in wireless sensor networks
In this paper we consider how to collect data from sensors deployed in the Euclidean plane in a timeefficient way. We assume that all sensors could adjust their transmission range...
Weiping Shang, Peng-Jun Wan, Xiaodong Hu
DASFAA
2007
IEEE
191views Database» more  DASFAA 2007»
15 years 9 months ago
ABIDE: A Bid-Based Economic Incentive Model for Enticing Non-cooperative Peers in Mobile-P2P Networks
In mobile ad-hoc peer-to-peer (M-P2P) networks, a large percentage of the mobile peers typically do not provide any service to the network, thereby motivating incentive schemes for...
Anirban Mondal, Sanjay Kumar Madria, Masaru Kitsur...
ICAPR
2001
Springer
15 years 9 months ago
Pattern Matching and Neural Networks Based Hybrid Forecasting System
In this paper we propose a Neural Net-PMRS hybrid for forecasting time-series data. The neural network model uses the traditional MLP architecture and backpropagation method of tr...
Sameer Singh, Jonathan E. Fieldsend
SECON
2008
IEEE
15 years 11 months ago
Enhancing the Data Collection Rate of Tree-Based Aggregation in Wireless Sensor Networks
— What is the fastest rate at which we can collect a stream of aggregated data from a set of wireless sensors organized as a tree? We explore a hierarchy of techniques using real...
Özlem Durmaz Incel, Bhaskar Krishnamachari
151
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ICANN
2009
Springer
15 years 8 months ago
Profiling of Mass Spectrometry Data for Ovarian Cancer Detection Using Negative Correlation Learning
This paper proposes a novel Mass Spectrometry data profiling method for ovarian cancer detection based on negative correlation learning (NCL). A modified Smoothed Nonlinear Energy ...
Shan He, Huanhuan Chen, Xiaoli Li, Xin Yao