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» Measurement Approaches to Evaluate Performance Optimizations...
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EURONGI
2005
Springer
14 years 1 months ago
An Afterstates Reinforcement Learning Approach to Optimize Admission Control in Mobile Cellular Networks
We deploy a novel Reinforcement Learning optimization technique based on afterstates learning to determine the gain that can be achieved by incorporating movement prediction inform...
José Manuel Giménez-Guzmán, J...
MOBIWAC
2006
ACM
14 years 1 months ago
Indoor tracking in WLAN location with TOA measurements
Authors presented recently an indoor location technique based on Time Of Arrival (TOA) obtained from Round-Trip-Time (RTT) measurements at data link level and trilateration. This ...
Marc Ciurana, Francisco Barceló, Sebastiano...
MOBICOM
2012
ACM
11 years 10 months ago
RadioJockey: mining program execution to optimize cellular radio usage
Many networked applications that run in the background on a mobile device incur significant energy drains when using the cellular radio interface for communication. This is mainl...
Pavan K. Athivarapu, Ranjita Bhagwan, Saikat Guha,...
IJCAI
2007
13 years 9 months ago
Constructing New and Better Evaluation Measures for Machine Learning
Evaluation measures play an important role in machine learning because they are used not only to compare different learning algorithms, but also often as goals to optimize in cons...
Jin Huang, Charles X. Ling
ADHOC
2011
13 years 2 months ago
Evaluation and design of beaconing in mobile wireless networks
One of the intrinsic problems of mobility in wireless networks is the discovery of mobile nodes. A widely used solution for this problem is to use different variations of beacons, ...
Abbas Nayebi, Gunnar Karlsson, Hamid Sarbazi-Azad