Android 平台上資料傳輸之電源管理策略

Abstract

伴隨著3G裝置數量的持續成長以及其嚴重的耗電問題，對3G資源使用的省電設計有強烈需求。不同於以往於省電即時任務排程的研究，我們探索了關於在有限電池電量下，最大化3G資料傳輸資料量。特別地是，提出最佳演算法針對最大化資料傳輸量並考量了有或無接收性工作的情況。其演算法已被一系列的實驗評量，我們有優異的成果。

With the growing popularity of 3G-powered devices and their serious energy consumption problem, there are strong demands on energy-efficient designs of 3G resource usages. Different fromthe pastwork in efficient-efficient real-time task scheduling, we explore the maximization of the amount of data transmitted by a 3G module under a given battery capacity. In particular, optimal algorithms are proposed to maximize the amount of data transmissions with and without a task for data receiving. The capability of the proposed algorithms are evaluated by a series of experiments, for which we have excellent results.