Personalized Diapause: Reducing Radio Energy Consumption of Smartphones by Network-Context Aware Dormancy Predictions
A large portion of radio energy in smartphones is wasted during a special waiting period, known as the tail time, after a transmission is completed. In order to save the wasted energy during the tail time, it is important to accurately predict whether a subsequent transmission will occur in the tail period. In this paper, the authors propose a novel general-purpose predictive dormancy technique, called Personalized Diapause (PD). By automatically extracting meaningful network activities as network contexts, their proposed technique takes advantage of per-user us-age characteristics of each network context in deciding when to release a radio connection within the tail time.