Abstract
One major issue of current Smart Phones power-saving strategies is the "One Size Fits All" philosophy which does not take into consideration the factors that could distinguish different Smartphone users. For example the nature of the workspace of the user (Indoor/Outdoor), the age, the gender, the user's applications categories of interests. etc. A very well-known example of a current "One Size Fits All" philosophy is "Samsung Ultra Power Saving Mode" which forces the user to end up using a black and white screen Smartphone even if the user was a 60 years old book reader or a 17 years old heavy online gamer for the sake of 14 days battery life. This paper proposes a new philosophy that adds another dimension to the current detective and preventive power-saving strategies. The proposed addition is based on classifying Smartphones users into groups based on different factors in order to improve power saving for each group. The relation between the group of users and power consumption is very valuable and can be used by marketing groups of operators/producers of mobile phones as well as by designers of the networks for dimensioning of radio interfaces in mobile/cellular networks. In this paper, Google Play Classification is used because Google Play store is the official application store for Android applications. It has 85 billion downloads in 2018. Initial empirical experimental results showed that new policies, more specific than the current onesize-fits-all that include 'user category' as a new factor, can now be proposed.