원문정보
초록
영어
Recent technology advancement in smartphones makes it the most important device in daily life communication. Instant messenger (IM) applications (apps) such as WhatsApp, WeChat, Viber and QQ messenger are gaining users demand for communication. We take data collected from WeChat and QQ which are most popular IM application as an example to investigate their traffic pattern. Based on our experimental findings, group chat messages take a larger portion in our data collected messages. We find users experiencing shorter battery life after group chat messages are in background traffic. In this paper, we look into improving group chat energy consumption. Our proposed energy efficient group chat messages support network preferences such as 3G or WiFi network. In addition, group chat traffic pattern is dependent on user status awareness, knowledge; we postponed messages over time while user is inactive and deliver postponed messages when user is active in group chats. We evaluate that our energy efficient group chat messaging achieves energy saving between 13.7% to 32% for 3G and 21% to 27% for WiFi, users.
목차
1. Introduction
2. Related Works
3. Data Collection
3.1. Classification of Messages
3.2. IM Group Chat Characteristics
4. Energy Efficient Group Chat
4.1. Network Preferences
4.2. User State Awareness Traffic Pattern
4.3. Test Conversion
4.4.Group Chat Messages Send and Receive Work Flow
5. Evaluation
5.1. Measurement Tool
5.2. Test Environment Setup
5.3.Energy Saving Cost of Group Chat
6. Conclusion and Future Work
References