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RTSS
2007
IEEE
13 years 10 months ago
Distributed Minimal Time Convergecast Scheduling for Small or Sparse Data Sources
— Many applications of sensor networks require the base station to collect all the data generated by sensor nodes. As a consequence many-to-one communication pattern, referred to...
Ying Zhang, Shashidhar Gandham, Qingfeng Huang
ICDCS
2006
IEEE
13 years 10 months ago
Distributed Minimal Time Convergecast Scheduling in Wireless Sensor Networks
— We consider applications of sensor networks wherein data packets generated by every node have to reach the base station. This results in a many-to-one communication paradigm re...
Shashidhar Gandham, Ying Zhang, Qingfeng Huang
JCST
2008
159views more  JCST 2008»
13 years 4 months ago
Coordinated Workload Scheduling in Hierarchical Sensor Networks for Data Fusion Applications
To minimize the execution time of a sensing task over a multi-hop hierarchical sensor network, we present a coordinated scheduling method following the divisible load scheduling p...
Xiao-Lin Li, Jiannong Cao
ICA3PP
2005
Springer
13 years 10 months ago
A Deadline and Budget Constrained Scheduling Algorithm for eScience Applications on Data Grids
In this paper, we present an algorithm for scheduling of distributed data intensive Bag-of-Task applications on Data Grids that have costs associated with requesting, transferring ...
Srikumar Venugopal, Rajkumar Buyya
MICCAI
2008
Springer
14 years 5 months ago
A Distributed Spatio-temporal EEG/MEG Inverse Solver
We propose a novel 1 2-norm inverse solver for estimating the sources of EEG/MEG signals. Based on the standard 1-norm inverse solver, the proposed sparse distributed inverse solve...
Wanmei Ou, Polina Golland, Matti Hämäl&a...