Smart phone energy consumption optimization method based on set optimization algorithm

A smart phone, optimization method technology, applied in the direction of reducing energy consumption, advanced technology, power management, etc., can solve the problems of mobile phone battery power consumption, inefficient calculation, neglect, etc., and achieve the effect of maximizing the battery life and energy saving of mobile phones

Active Publication Date: 2017-05-31
CHANGZHOU UNIV
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AI Technical Summary

Problems solved by technology

There are tens of thousands of applications running on smartphones every day. Long-term high-energy-consuming operations will quickly consume the battery power of the mobile phone, and inefficient calculations will also lead to a decline in mobile phone performance.
Existing approaches

Method used

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  • Smart phone energy consumption optimization method based on set optimization algorithm
  • Smart phone energy consumption optimization method based on set optimization algorithm
  • Smart phone energy consumption optimization method based on set optimization algorithm

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Embodiment Construction

[0022] The frame diagram of the system realization framework of the middleware software of the smart phone energy consumption optimization method based on the set competition optimization algorithm in the present invention is as follows figure 1 As shown, it consists of a monitoring component, a mining component and a scheduling component. in:

[0023] Monitoring component: the monitoring component records information from users and applications, which are stored in the smartphone's database;

[0024] Mining component: The mining component uses the database to predict the importance of the application to the user, and the prediction result will be broadcast to the scheduling component;

[0025] Scheduling component: The scheduling component determines the scheduling strategy and then executes it.

[0026] In order to count the applications that users use every day and have network activity, connect the power monitor to the smartphone. We use application timer 2 and program ...

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Abstract

The invention discloses a smart phone energy consumption optimization method based on a set optimization algorithm. The method is realized by middleware software of a cross application. The method mainly comprises three assemblies: a monitoring assembly, a mining assembly and a scheduling assembly. Network activity data used by a user when a screen is closed is collected; the importance of an application for the user is predicted through utilization of a decision-making tree; the obtained value of the importance is introduced into the set optimization algorithm; a network request of the application is constrained; network activities after the screen is closed are reduced; and the battery loss resulting from the network activities is reduced. On the premise of ensuring the user experience, the duration and energy saving performance of a mobile phone are maximized.

Description

[0001] Technical field: [0002] The invention relates to the field of mobile computing control, in particular to a smart phone energy consumption optimization method based on a set competitive algorithm. [0003] Background technique: [0004] With the rapid coverage of LTE and 4G high-speed broadband wireless networks and the rapid popularization of smart mobile terminals, mobile phone applications have shown explosive growth because they have greatly improved user experience. There are tens of thousands of applications running on smartphones every day. Long-term high-energy-consuming operations will quickly consume the battery power of the mobile phone, and inefficient calculations will also lead to a decline in mobile phone performance. Existing approaches to address this issue by avoiding network activity power consumption offer limited improvements in terms of energy savings and impact smartphone user experience. The balance between energy saving and user experience has ...

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Application Information

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IPC IPC(8): H04W52/02
CPCH04W52/0264Y02D30/70
Inventor 朱正伟刘晨宋文浩黄晓竹刁晓敏郭晓
Owner CHANGZHOU UNIV
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