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IPSN
2004
Springer
14 years 2 months 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
TNN
2008
93views more  TNN 2008»
13 years 9 months ago
Towards the Optimal Design of Numerical Experiments
This paper addresses the problem of the optimal design of numerical experiments for the construction of nonlinear surrogate models. We describe a new method, called learner disagre...
S. Gazut, J.-M. Martinez, Gérard Dreyfus, Y...
INFOCOM
2011
IEEE
13 years 28 days ago
Feasibility and optimization of delay guarantees for non-homogeneous flows in IEEE 802.11 WLANs
—Due to the rapid growth of real-time applications and the ubiquity of IEEE 802.11 MAC as a layer-2 protocol for wireless local area networks (WLANs), it is of increasing interes...
Yan Gao, Chee Wei Tan, Ying Huang, Zheng Zeng, P. ...
SECON
2008
IEEE
14 years 3 months ago
Analytical Study of Collaborative Information Coverage for Object Detection in Sensor Networks
—Many sensor networks are deployed for the purpose of covering and monitoring a particular region, and detecting the object of interest in the region. In this paper, based on the...
Guanqun Yang, Vinod Shukla, Daji Qiao
SIMUTOOLS
2008
13 years 10 months ago
An accurate and extensible mobile IPv6 (xMIPV6) simulation model for OMNeT++
MIPv6 is the IPv6 based mobility management protocol and it is expected to become the mobility management protocol of choice for the Next Generation Wireless Access Networks. In o...
Faqir Zarrar Yousaf, Christian Bauer, Christian Wi...