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IPSN
2004
Springer
16 years 5 days ago
Estimation from lossy sensor data: jump linear modeling and Kalman filtering
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
MSWIM
2003
ACM
16 years 1 days ago
Markov-based modeling of wireless local area networks
Errors introduced by a wireless medium are more frequent and profound than contemporary wired media. Some of these errors, which are not corrected by the physical layer, result in...
Syed A. Khayam, Hayder Radha
MOBIHOC
2006
ACM
16 years 6 months ago
Modeling steady-state and transient behaviors of user mobility: : formulation, analysis, and application
Recent studies on mobility modeling have focused on characterizing user mobility from real traces of wireless LANs (WLANs) and creating mobility models based on such characterizat...
Jong-Kwon Lee, Jennifer C. Hou
ICPPW
2008
IEEE
16 years 1 months ago
Energy Modeling of Processors in Wireless Sensor Networks Based on Petri Nets
Power minimization is a serious issue in wireless sensor networks to extend the lifetime and minimize costs. However, in order to gain an accurate understanding of issues regardin...
Ali Shareef, Yifeng Zhu
BMCBI
2007
142views more  BMCBI 2007»
15 years 7 months ago
Improving model construction of profile HMMs for remote homology detection through structural alignment
Background: Remote homology detection is a challenging problem in Bioinformatics. Arguably, profile Hidden Markov Models (pHMMs) are one of the most successful approaches in addre...
Juliana S. Bernardes, Alberto M. R. Dávila,...