Application-based Energy Efficiency Evaluation for Cellular and Wi-Fi Wireless Networks Switching

The development of mobile devices (MDs) and wireless network allow the users perform many applications and entertainments. Software implementation of wireless network transmission takes lots of power so that how to extend battery lifetime of MDs has therefore become an important issue. In this study, cellular and Wi-Fi switching to explore for energy-saving depends on the user send and receive E-mail, online Apps, browse web pages, as well as to watch multimedia scenarios to minimize power consumption. The main goal of this study is to design and evaluate several energy efficiency scenarios for dynamic cellular and Wi-Fi switching schemes. The proposed schemes were used to evaluate the effectiveness of the association factors of the application types, signal strength, and weighted aggregated traffic load when the several simulation cases, such as number of MDs, traffic load, number of cellular BSs, number of Wi-Fi APs, and the total number of BSs and APs, are considered. We verify the merits of the switching factors and the conditions of under enable MDs to minimize the overall energy consumption. We found that when the energy consumption of MDs in accordance with the signal strength is higher than in accordance with the type of applications.