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Mobile platform energy consumption optimization method based on markov decision process

An optimization method and mobile platform technology, applied in the direction of energy reduction, climate sustainability, sustainable communication technology, etc., can solve the problem of high energy consumption

Active Publication Date: 2018-02-23
NORTHWEST UNIV(CN)
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In real life, users have different mobile phone download power and download time under different environmental conditions, and the energy consumption required to refresh pictures on Weibo is relatively high.

Method used

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  • Mobile platform energy consumption optimization method based on markov decision process
  • Mobile platform energy consumption optimization method based on markov decision process
  • Mobile platform energy consumption optimization method based on markov decision process

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Experimental program
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Embodiment Construction

[0021] The technical solution of the present invention will be described in detail below in conjunction with the embodiments and the accompanying drawings, but is not limited thereto.

[0022] like figure 1 As shown, the user logs in to the Mix test app, the app automatically jumps to the Sina Weibo user authentication interface, and enters the account password to obtain the user's Token password. The Token password is valid within a certain period of time, and the next login does not need to be re-authenticated.

[0023] After the user logs into the Mix test APP, the application will automatically collect the user's environment status value. The environment status value includes the network signal (mainly 4G and Wi-Fi network) strength level value, time interval value, mobile phone remaining power value, and the user refreshes Weibo Frequency value, sort the collected environmental status values ​​in the format set by the database, store them in the local database of the mobi...

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Abstract

The invention relates to a mobile platform energy consumption optimization method based on a markov decision process. According to the method, network states of different environments are considered;according to a current electric quantity of a mobile phone and a user refresh frequency, an optimal strategy is selected in a decision table generated in the markov decision process, and optimal network access and an optical picture format for refreshing and downloading are dynamically selected. According to the method, not only is refreshing time reduced, but also energy consumption of a mobile platform can be reduced. An experimental result shows that compared to a picture refreshing mode using a single network, in the premise of ensuring that user refreshing times are not reduced, the energy consumption optimization method disclosed by the invention can reduce energy consumption by about 12.1%.

Description

technical field [0001] The invention belongs to the technical field of computer network communication, and in particular relates to a method for optimizing energy consumption of a mobile platform based on a Markov decision process. Background technique [0002] With the continuous innovation of technology, the market share of smart mobile devices continues to increase. At the same time, with the development and improvement of wireless access network technology, the mobile Internet has become the fifth development cycle after mainframes, minicomputers, personal computers, and desktop Internet. As of June 2016, the number of mobile Internet users in China has reached 656 million. Among Internet users, the number of Internet users using mobile phones has increased from 90.1% at the end of 2015 to 92.5%. Internet users only use mobile phones to account for 24.5%. Concentrate on mobile terminals. [0003] As a form of network service centered on human social interaction, social...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W36/00H04W36/14H04W52/02H04L12/58
CPCH04W36/0094H04W36/14H04W52/0212H04L51/52Y02D30/70
Inventor 高岭郭延超王海杨旭东郑杰
Owner NORTHWEST UNIV(CN)
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