I. J. Computer Network and Information Security, 2017, 12, 18-28 Published Online December 2017 in MECS (http://www.mecs-press.org/) DOI: 10.5815/ijcnis.2017.12.03 Copyright © 2017 MECS I.J. Computer Network and Information Security, 2017, 12, 18-28 Energy Consumption in Mobile Phones Ambrin Javed COMSATS Institute of Information Technology, Wah Cantt, Pakistan E-mail: ambrinjaved35@gmail.com Muhammad Alyas Shahid, Muhammad Sharif, Mussarat Yasmin COMSATS Institute of Information Technology, Wah Cantt, Pakistan E-mail: mashahid79@gmail.com, muhammadsharifmalik@yahoo.com, mussaratabdullah@gmail.com Received: 04 June 2017; Accepted: 12 September 2017; Published: 08 December 2017 Abstract—As the mobile devices are widely used in this world. With the increasing number of users, the numbers of customized applications are also introduced for these users according to their own requirements but on the other hand, there is a dire need of a system which must be energy conserved, estimated and maintained. A survey of energy consumption in mobile phones is presented in this paper with the factors at which the consumption of the energy depends on i.e. Energy consumed by OS, by hardware, by applications, by the user to interact with the applications, by wireless, by the sensor network. The energy management models and frameworks are also discussed in this paper. Index Terms—Power consumption in mobile phones, Application level, hardware level, models, and frameworks. I. INTRODUCTION Mobile phones are a very pronounced invention. Nowadays it became a main accessory used in human life. It is an electronic device that is used to perform different operations, run the applications, connectivity of wireless networks and data sharing in a network and cloud computing environment. It needs a battery as energy source. These batteries are required 1 to 4 hours to charge that is not enough for few hours talk time [1] as maximum 14 hours. The mobile phone is used in social media, playing games, location-aware applications, video streaming and connectivity with the other devices. These requirements required a massive processing by the mobile device. A lot of power energy is consumed during processing. On the other hand, other different components of the device like memory, display screen etc also are also required a huge amount of energy for their working. As the demand for power of the system is increased rapidly, the solutions of this issue are not more frequently introduced according to the demand of device. 3D graphics are widely used in a new era. 3D applications like games, maps, and animated charts are now the demand of the every user but these applications consume a huge amount of the energy of device. So, there should be an ideal mobile system through which we get the better battery lifetime. Wifi and blue tooth are the platforms through which the different systems have to communicate with one another, these are also very power hungry features of the mobiles but are also most important features. Simply an efficient power consumption mobile battery is the main issue. In this paper, a survey on energy consumption and estimated in the domain of OS, hardware, frameworks, models, wireless and sensor network is presented. II. RELATED WORK In the mobile world, there is a numeral error that arises in the system like in OS, applications, hardware, firmware or external devices. Now a day, another new bug is encountered that is e-bug or energy bug [2]. Energy is the main source for mobiles. An unexpected amount of energy is consumed during e-bug by the mobiles. But different techniques and tools are rapidly introduced on the demand of mobile users. Energy management system (EMS) is the system which is used to determine the power estimation, performance, and efficiency of a particular system whose power consumption is to be found [3]. According to the mobile phone manufacturer, the energy consumption is only based on two basic factors, an operating system, and applications. But there are some other energy consumption factors that are involved in energy consumption in user interaction, sensors, and wireless optimization [4] as shown in Fig 1. Fig.1. Energy Consumption in Mobile Phones