Reinforcement Learning
Trace-based mobility modeling for multi-hop wireless networks
Computer Communications
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The network resources available on a mobile device may be better employed when taking into account the history of mobility patterns of the user. We propose an experience-based mechanism for network resource usage by applications on mobile hosts. It incorporates a machine learning component that adapts the network resource usage given a high-level metric, typically consisting of system as well as application related sub-metrics.