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Energyconscious Behavior Analysis of Mobile Phones

  

  1. 1. School of Information Science and Engineering, Southeast University, Nanjing 210096, China;

    2. State Grid Electric Power Research Institute, Nanjing 211000, China;
    3. State Grid Jibei Electric Power Company Limited, Beijing 100053, China
  • Received:2016-12-01 Online:2017-08-31 Published:2017-09-01

Abstract:

Energyconscious behavior analysis plays a vital part in energy consumption analysis of mobile phones, it is of great help to energy optimization by understanding how
and why the energy is used. This paper presents a method which combined software detection and hardware detection on both iOS and Android platforms. In terms of software
detection,  the battery level was obtained based on system APIs and relevant applications which were developed to measure the energy consumption of key energyconsuming
entities, such as screen, audio and network interface under different using scenarios, so that the key factors could be determined. In terms of hardware detection, NI myDAQ was
used to communicate with computer. By recording the current in real time, the energy consumption was calculated. The experiment result of hardware detection validates the
effectiveness of software detection. In the end, by comparing all the energyconscious behaviors, the highly conscious behaviors are identified.

Key words:  , mobile phones; energyconscious behavior; energy consumption analysis; software detection; hardware detection

CLC Number: