期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2016
卷号：9
期号：10
页码：387-404
出版社：SERSC
摘要：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 largerportion 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 improvinggroup chat energy consumption. Our proposedenergy efficient group chat messages support network preferencessuch as3G or WiFi network. In addition,group chat traffic pattern is dependenton 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 evaluatethatour energy efficient group chat messaging achieves energy saving between 13.7% to 32% for 3G and 21% to 27% for WiFi, users.
