Name
Title | ||
|---|---|---|
Personalized Diapause: reducing radio energy consumption of smartphones by network-context aware dormancy predictions |
Abstract | ||
|---|---|---|
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, we propose a novel general-purpose predictive dormancy technique, called Personalized Diapause (PD). By automatically extracting meaningful network activities as network contexts, our proposed technique takes advantage of per-user usage characteristics of each network context in deciding when to release a radio connection within the tail time. Our experimental results using real network usage logs from 25 users show that PD can save the radio energy consumption by up to 36% with about 10% reconnection increase. |
Year | Venue | Keywords |
|---|---|---|
2012 | HotPower | per-user usage characteristic,personalized diapause,meaningful network activity,tail time,real network usage log,proposed technique,radio energy consumption,radio connection,network context,radio energy,network-context aware dormancy prediction,tail period |
Field | DocType | Citations |
Network usage,Computer science,Real-time computing,Energy consumption,Diapause | Conference | 3 |
PageRank | References | Authors |
0.41 | 3 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yeseong Kim | 1 | 72 | 8.35 |
| Jihong Kim | 2 | 1336 | 104.37 |