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Friday, February 22, 2019

The Power Consumption

The billet inlet for direct (or receiving) a single pass in a mobile phone Abstract We measure overall SMS, Whatapps and Wechat for the reason consumption of a single gist. These results atomic number 18 sustaind by overall power measurements of two other devices the barrage fire Doctor and electric battery Detective. We discuss the significance of the power drawn by the various length and prison term of texting messages, and identify the most promising areas to focus on for nonwithstanding improvements of power management. We also analyze the energy impact of dynamic potency and frequency scaling of the devices application processor.Introduction In modern years, people have a mobile phone in their hold all the day. At the same time, device use of goods and servicesality is increasing rapidly. In the routine of applications, texting messages occupied an important part. Hence, optimal management of power consumption of devices much(prenominal) as SMS, WhatsApp and WeChat is critical. In this paper we attempt to answer how much of the governing bodys energy is consumed by move (or receiving) a single message of the system and under what circumstances. And we will practise IPhone5 as the experimental product.Furthermore, we validate the results with computing manually and the additional mobile device onslaught Doctor, shelling Detective. Material Experimental product IPhone5 (IOS6. 1. 2) Timer Testing industrys Messages, WhatsApp, WeChat Measuring Application Battery Doctor and Battery Detective Formula 1)The time of sending each(prenominal) message=The time of the utilization of 1% power/ phone number of messages. 2) Average electricity consumption of each message ( with the Wifi usage)= 1% power of Iphone 5/ Number of messages. ) Average electricity consumption of each message ( without the Wifi usage) =(1% power of Iphone 5/ Number of messages) (The time of sending each message x The power consumption step of wireless fidelity f unction). Methodology Device under test Experimental setup When an iPhone is not actively being subprogramd (the screen is off), the biggest power drain are the various radios WiFi, 3G and Bluetooth. So first tip is to turn off either service you dont lack. Settings are useful in doing so with one tap. There is some study you need to calculate originally we collect the selective information.Therefore, after you turn off all the service that you do not use, you have to turn on the Battery Doctor and breach out the battery usage of your phone and calculate how much usage if 1%power. In the case of IPhone 5, the battery usage is 1430, therefore IPhone 5 1% power= 1430/100= 14. 30 mAh. Also, you can use the Battery Doctor to check out how long you still can use on that percentage of battery. Then, according to the Doctor Battery, when IPhone 5 in 41% power, it can use 8hrs 15mins without the WiFi function. If use with the WiFi function, it can use 7hrs 13mins.Therefore, you can ca lculate that The power of IPhone 5 in 41% 14. 3mAh x 41 = 586. 3mAh The power consumption rate of IPhone 5 without the WiFi function 586. 3 mAh/(60 x 8 +15) x 60 = 0. 0197 mAh s-1 The power consumption rate of IPhone 5 without the WiFi function 586. 3 mAh/(60 x7 +13) x 60 = 0. 0226 mAh s-1 The power consumption rate of WiFi function 0. 0226 0. 0197 = 0. 0029 mAh s-1 Then, you get all the basic information which you need, and you can turn off the Battery Doctor, and start to collect the data. Then, you need to let your phone natural reduce 1% power. later it you can use the timer to count time and type your message and send it out. After you use 1% of power, you can stop the timer and count how umpteen messages did u sent and record it. Then, you need to repeat to collect those data several times. However, you also need to do it in different power percentage, to collect more data. After u collect the data of time and number of messages sending, you can use those formula to calculat e the information. Software Excel, Word, Battery Doctor, Battery Detective Results We had collected the data from 3 different power level, high power (80%), general power (20-80%), and lower power (

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