CN104467997A - Terminal energy-saving method and device based on wireless signal intensity prediction - Google Patents

Abstract

The invention discloses a terminal energy-saving method and device based on wireless signal intensity prediction. The method includes the steps that a predicted value of wireless signal intensity in a current time window is acquired, a time window meeting the sending requirement is selected according to the predicted value of the wireless signal intensity in the current time window, priority ranking is conducted on a waiting queue of application programs in the time window meeting the sending requirement, and according to the priority ranking result, a request that the application programs in the waiting queue use wireless signals is answered. By the adoption of the terminal energy-saving method and device based on wireless signal intensity prediction, the utilization efficiency of high-quality wireless signals can be improved, energy consumption of the wireless signals is reduced, and therefore energy use of a terminal is optimized.

Description

A kind of method and apparatus energy-conservation based on the terminal of wireless signal strength prediction

Technical field

The present invention relates to mobile computing field, be specifically related to a kind of method and apparatus energy-conservation based on the terminal of wireless signal strength prediction.

Background technology

Wireless network (WIFI) develops very ripe technology as one, WIFI is that PC and handheld terminal (such as: mobile phone and panel computer etc.) provide network insertion easily, especially smart mobile phone, becomes a part indispensable in user's daily life.

The energy of consumption when the energy of consumption carries out data packet transmission well below 3G network and 4G network when using WIFI to carry out data packet transmission.Such as, when a transmission packet, the energy consumed when using WIFI to transmit is only 0.04J, and 3G network and 4G LTE network then can consume 7.38J and 12.76J respectively.But, for the transfer of data of same size, wireless signal strength drops to from-50dBm the excess energy consumption that-90dBm can cause 810.5%, therefore, poor WIFI link not only reduces overall throughput, and greatly extending WIFI transmission duration, the result caused like this is exactly the energy level the earth increase that unit of transfer's byte consumes.

In prior art, by above or on WIFI access point designing the energy utilization efficiency that scheduling strategy improves WIFI in PC and handheld terminal (such as: mobile phone and panel computer etc.), but, this method does not inherently solve the impact that wireless signal strength causes WIFI energy consumption, the energy gain that this method has can be very fast balance out by poor wireless signal environment, therefore, when radio signal quality is unstable, the energy utilization efficiency of WIFI is low and energy ezpenditure is larger.

Summary of the invention

In view of this, the present invention proposes a kind of terminal power-economizing method based on wireless signal strength prediction and device, to improve the utilization ratio of high-quality wireless signal, reduces the energy ezpenditure of wireless signal simultaneously, thus is optimized the energy use of terminal.

In first aspect, embodiments provide a kind of terminal power-economizing method based on wireless signal strength prediction, described method comprises:

Obtain the predicted value of wireless signal strength in actual time window;

According to the predicted value of wireless signal strength in described actual time window, select to meet the time window sending and require;

Prioritization is carried out to the waiting list of each application program in the described time window meeting transmission requirement;

According to described prioritization result, respond each application program in described waiting list and use the request of wireless signal.

Further, in described acquisition actual time window, the predicted value of wireless signal strength comprises:

Gather the intensity level of wireless signal in historical time window;

The distribution function of wireless signal strength in actual time window is calculated according to the intensity level of wireless signal in the described historical time window collected;

According to the distribution function of wireless signal strength in described actual time window, marginal probability distribution is utilized to obtain the predicted value of wireless signal strength in actual time window.

Further, carry out prioritization to the waiting list of each application program in the described time window meeting transmission requirement to comprise:

Obtain the application parameter of each application program, wherein, described application parameter comprises the stand-by period of each application program in waiting list, each application program and the correlation of user and the obstruction deadline of each application program;

Application parameter according to each application program carries out prioritization to the waiting list of each application program in the described time window meeting transmission requirement.

Further, according to described prioritization result, respond each application program in described waiting list and use the request of wireless signal to comprise:

Meet described in judgement the transmission data of each application program in the time window that sends and require whether be less than described in meet the capacity sending the time window required,

If so, according to described prioritization result, respond each application program in described waiting list and use the request of wireless signal;

If not, then the transmission data of each application program in the described time window meeting transmission requirement are cut into the first transmission data and the second transmission data, wherein, described first transmission data are transmitted in the described time window meeting transmission requirement, and described second transmission data are transmitted when the next one meets the time window sending and require.

Further, described method also comprises:

The application program of real time execution in detecting terminal;

When detecting the application program of real time execution, the application program responding this real time execution uses the request of wireless signal.

In second aspect, embodiments provide a kind of terminal energy saver based on wireless signal strength prediction, described device comprises:

Prediction module, for obtaining the predicted value of wireless signal strength in actual time window;

Window selection module, for the predicted value according to wireless signal strength in described actual time window, selects to meet the time window sending and require;

Priority block, for carrying out prioritization to the waiting list of each application program in the described time window meeting transmission requirement;

First respond module, for according to described prioritization result, responds each application program in described waiting list and uses the request of wireless signal.

Further, described prediction module comprises:

Collecting unit, for gathering the intensity level of wireless signal in historical time window;

Computing unit, the intensity level for wireless signal in the historical time window that collects described in basis calculates the distribution function of wireless signal strength in actual time window;

Predicting unit, for the distribution function according to wireless signal strength in described actual time window, utilizes marginal probability distribution to obtain the predicted value of wireless signal strength in actual time window.

Further, described priority block comprises:

Acquiring unit, for obtaining the application parameter of each application program, wherein, described application parameter comprises the stand-by period of each application program in waiting list, each application program and the correlation of user and the obstruction deadline of each application program;

Sequencing unit, carries out prioritization for the application parameter according to each application program to the waiting list of each application program in the described time window meeting transmission requirement.

Further, described first respond module comprises:

Judging unit, meets the capacity sending the time window required described in whether the transmission data for meeting each application program in the time window that sends and require described in judging are less than;

Response unit, for when meeting the capacity sending the time window required described in meeting the transmission data of each application program in the time window sending and require and being less than, according to described prioritization result, respond each application program in described waiting list and use the request of wireless signal;

Cut cells, for when meeting the capacity sending the time window required described in meeting the transmission data of each application program in the time window sending and require and being greater than, the transmission data of each application program in the described time window meeting transmission requirement are cut into the first transmission data and the second transmission data, wherein, described first transmission data are transmitted in the described time window meeting transmission requirement, and described second transmission data are transmitted when the next one meets the time window sending and require.

Further, described device also comprises:

Detecting module, for detecting the application program of real time execution in terminal;

Second respond module, for when detecting the application program of real time execution, the application program responding this real time execution uses the request of wireless signal.

The terminal power-economizing method based on wireless signal strength prediction that the embodiment of the present invention provides and device, by predicting the intensity of wireless signal in actual time window, select to meet the time window sending and require, by meet send require time window in each level of application carry out prioritization, according to described prioritization result, respond the request that each application program uses wireless signal, which thereby enhance the utilization ratio of high-quality wireless signal, reduce the energy ezpenditure of wireless signal, the transmission of wireless signal can be controlled in real time, thus the energy use of terminal is optimized.

Accompanying drawing explanation

Exemplary embodiment of the present invention will be described in detail by referring to accompanying drawing below, the person of ordinary skill in the art is more clear that above-mentioned and other feature and advantage of the present invention, in accompanying drawing:

Fig. 1 is the flow chart of the terminal power-economizing method based on wireless signal strength prediction according to a first embodiment of the present invention;

Fig. 2 is the schematic diagram based on the experimental situation of wireless signal strength prediction in the terminal power-economizing method of wireless signal strength prediction according to a first embodiment of the present invention;

Fig. 3 is the transmission data that respond each application program in the embodiment of the present invention one and meet the capacity schematic diagram sending the time window required;

Fig. 4 is the structure chart of the terminal energy saver based on wireless signal strength prediction according to a second embodiment of the present invention;

Fig. 5 is the operating diagram that in the embodiment of the present invention two, intelligent wireless network controls.

Embodiment

Below in conjunction with drawings and Examples, the present invention is described in further detail.Be understandable that, specific embodiment described herein is only for explaining the present invention, but not limitation of the invention.It also should be noted that, for convenience of description, illustrate only part related to the present invention in accompanying drawing but not full content.

First embodiment

Fig. 1 is the flow chart of the terminal power-economizing method based on wireless signal strength prediction according to a first embodiment of the present invention, as shown in Figure 1, the method is applicable in PC or handheld device and uses with the energy optimizing terminal, wherein, described handheld device can be smart mobile phone or panel computer etc., and the described terminal power-economizing method based on wireless signal strength prediction comprises:

The predicted value of wireless signal strength in step 11, acquisition actual time window.

Fig. 2 is the schematic diagram based on the experimental situation of wireless signal strength prediction in the terminal power-economizing method of wireless signal strength prediction according to a first embodiment of the present invention, as shown in Figure 2, in order to predict the intensity of wireless signal, have chosen 36 measurement points and carry out wireless signal strength sampling, each sample-duration 2 minutes, in order to make measurement result more accurate, the estimation way of cuclear density (KDE) is adopted to go filtering measure error.The method utilizes the sampled value in a time window to carry out smoothing error impact, and its formula is expressed as follows:

$f_h\left(x\right)=\frac{1}{n}\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{K}_h(\stackrel{-}{x}-x_i)\≈\frac{1}{\mathrm{nh}}\underset{i=1}{\overset{n}{\mathrm{\Σ}}}K\left(\frac{\stackrel{-}{x}-x_i}{h}\right)$

Wherein, K represents kernel function, and h represents window size, and according to Silverman criterion, h is determined by following formula:

$h={\left(\frac{4{\mathrm{\σ}}^5}{3n}\right)}^{0.2}\≈1.06\mathrm{\σ}*n^{-0.2}$

Can infer from experimental verification, for a fixing position, wireless signal strength mostly concentrates on mean value, thus infers for same site, signal strength signal intensity Gaussian distributed.Table 1 is Kolmogorov-Smirnov (K-S inspection) test result, and acquiescence confidence level is that 0.05, K-S detects for checking the wireless signal strength in a time window whether to meet Gaussian Profile, as shown in table 1:

Table 1 Kolmogorov-Smirnov test result

Network name	Average window value h	Number of samples	Receptance
				Sense	0.8689	58725	97.2％
WiFi	0.9384	29633	94.5％
				Holdtech007	0.7839	29385	81.3％
NETGEAR89	0.2840	12888	96.3％
				NETGEAR22	1.0747	29610	87.5％
Summation	0.79	160241	91.36％

As can be seen from Table 1, even if under relatively strict verification condition, the sampled point of 91.36% is still had to have passed K-Smirnov inspection.Thus in a little time interval, the signal strength signal intensity Gaussian distributed of fixing point.

But, in actual applications, owing to can not sample all in a large number to all positions of wireless signal, simultaneously, at different time window, the wireless signal strength of same position also can be distinguished to some extent, and Gaussian process is the random process be extended to by static gaussian variable in time series.Be different from traditional training method, Gaussian process does not carry out mode inference to stochastic variable.It carries out posterior probability calculating to sampled point, and this feature meets the feature of " without the priori " of this scene, therefore, adopts the intensity of Gaussian process to wireless signal to predict, thus obtains the predicted value of wireless signal strength in actual time window.

In order to use Gaussian process, we need to do some hypothesis: for any one time window h _i, assumed wireless signal strength signal intensity can be represented by following formula:

r _i＝f(h _i)+∈,i＝1,2,3,…

Wherein, ∈ is white Gaussian noise, and f is may map from h to r.Suppose r _iand r _i(i ≠ j) is separate.

Suppose, in a time window, have the sampled signal of m group wireless signal, its wireless signal strength r represents, then for any one random sequence { r of wireless signal strength r _k1, r _k2..., r _km, the adding and meet following expression formula of these stochastic variables:

${r_k}_1+\·\·\·+{r_k}_m~N({{\mathrm{\μ}}_k}_1+\·\·\·+{{\mathrm{\μ}}_k}_m,m{\mathrm{\σ}}^2)$

Wherein, it is window average, σ is variance.As can be seen from above-mentioned formula, the combination of these stochastic variables meets Gaussian Profile, therefore, can draw in a little time window, the intensity Gaussian distributed of wireless signal.

Therefore, Gaussian process can be adopted to carry out real-time estimate to the intensity of wireless signal, particularly, in described acquisition actual time window, the predicted value of wireless signal strength can comprise:

The intensity level of wireless signal in step 111, collection historical time window.

The sampled signal of M group wireless signal can be comprised in each time window, the wireless signal strength Gaussian distributed of this M group sampled signal, by collecting the intensity level of wireless signal in historical time window, obtain the condition distribution characteristics of wireless signal strength in actual time window.

In the historical time window collected described in step 112, basis, the intensity level of wireless signal calculates the distribution function of wireless signal strength in actual time window.

Suppose x _aand x _bbe two two continuous variables obtained from Gaussian process, they obey a Joint Gaussian distribution N (μ, Σ), their conditional probability distribution following formula subrepresentation:

$p\left(x_A\right|x_B)=\frac{p(x_A,x_B;\mathrm{\μ},\mathrm{\Σ})}{{{\∫}_x}_{A}p(x_A,x_B;\mathrm{\μ},\mathrm{\Σ})d{x}_A}$

Then their probability distribution also Gaussian distributed, that is:

$x_A|x_B~N({\mathrm{\μ}}_A+{\mathrm{\Σ}}_{\mathrm{AB}}{\mathrm{\Σ}}_{\mathrm{BB}}^{-1}(x_A-{\mathrm{\μ}}_B,{\mathrm{\Σ}}^{*})$

Wherein ${\mathrm{\Σ}}^{*}={\mathrm{\Σ}}_{\mathrm{AA}}-{\mathrm{\Σ}}_{\mathrm{AB}}{\mathrm{\Σ}}_{\mathrm{BB}}^{-1}{\mathrm{\Σ}}_{\mathrm{BA}}$

Suppose that wireless signal strength r obedience average is 0 in a time window, covariance is the Gaussian process of K, then actual time window h ^*in wireless signal strength and training set meet the Gaussian process of a Joint Distribution,

$\left[\begin{array}{c}{f}^{*}\\ \stackrel{\→}{f}\end{array}\right]|h^{*},\stackrel{\→}{h}~N(0,\left[\begin{array}{cc}1& K{(*,\stackrel{\→}{h})}^T\\ K(*,\stackrel{\→}{h})& K(\stackrel{\→}{h},\stackrel{\→}{h})\end{array}\right])$

Wherein, the Gauss formula of expressions of noise with above-mentioned Joint Distribution is added, the distribution function obtaining wireless signal strength in actual time window as shown in the formula:

$\left[\begin{array}{c}{r}^{*}\\ \stackrel{\→}{r}\end{array}\right]|h^{*},\stackrel{\→}{h}~N(0,\left[\begin{array}{cc}{\mathrm{\σ}}^{2}I& K{(*,\stackrel{\→}{h})}^T\\ K(*,\stackrel{\→}{h})& K(\stackrel{\→}{h},\stackrel{\→}{h})+{\mathrm{\σ}}^{2}I\end{array}\right])$

Step 113, distribution function according to wireless signal strength in described actual time window, utilize marginal probability distribution to obtain the predicted value of wireless signal strength in actual time window.

According to the distribution function of wireless signal strength in described actual time window, the predicted value utilizing marginal probability distribution to obtain wireless signal strength in actual time window as shown in the formula:

$r^{*}|\stackrel{\→}{r}~N({\mathrm{\μ}}^{*},{\mathrm{\Σ}}^{*})$

Wherein ${\mathrm{\μ}}^{*}=K{(*,\stackrel{\→}{h})}^T{(K(\stackrel{\→}{h},\stackrel{\→}{h})+{\mathrm{\σ}}^{2}I)}^{-1}\stackrel{\→}{r},{\mathrm{\Σ}}^{*}=1-K{(*,\stackrel{\→}{h})}^T{(K(\stackrel{\→}{h},\stackrel{\→}{h})+{\mathrm{\σ}}^{2}I)}^{-1}K(*$ $,\stackrel{\→}{h}).$ After abbreviation, the confidential interval that confidence level is α can be obtained:

$r^{*}\∈[{\mathrm{\μ}}^{*}-t_{\frac{\mathrm{\α}}{2}}*\sqrt{\mathrm{\Σ}*},{\mathrm{\μ}}^{*}+t_{\frac{\mathrm{\α}}{2}}*\sqrt{\mathrm{\Σ}*}]$

In addition, for kernel function K, it has weighed the degree of correlation between two windows, this relevant impact determining training set data and produce final result.Usually, kernel function K following formula represents:

$K=\left[\begin{array}{cc}K(*,*)& K{(*,\stackrel{\→}{h})}^T\\ K(*\stackrel{\→}{h})& K(\stackrel{\→}{h},\stackrel{\→}{h})\end{array}\right]$

Wherein, described kernel function K is a covariance in essence, and its most basic requirement is that determinant must be more than or equal to 0, namely must be positive semidefinite matrix, in order to meet this requirement, uses square index core (RBF).This simulates the relation between the variable of Gaussian distributed, and this characteristic meets the demand of our scene.The expression formula of this kernel function is as follows:

$K(h_i,h_j)=\exp \left(\frac{-(h_i-h_j)}{2r^2}\right)$

Wherein, γ represents the core length of kernel function, as can be seen from above-mentioned formula, if two time window distances are relatively near, so in these two time windows, the intensity of wireless signal has stronger correlation, namely wireless signal has temporal correlation, therefore, adopts Gaussian Profile can obtain the predicted value of wireless signal strength in real time.

Step 12, predicted value according to wireless signal strength in described actual time window, select to meet the time window sending and require.

Due to wireless signal that terminal equipment service quality is poor communicate time, the energy expended is larger, therefore, need to communicate when radio signal quality is good, in order to obtain the good wireless signal of quality, then needing the predicted value according to wireless signal strength in described actual time window, selecting to meet the time window sending and require, particularly, the time window sending and require is met by following method choice.

Because the intensity distributions of wireless signal in different time windows is different, therefore the threshold setting method that progressive is adopted, if the predicted value of wireless signal strength is greater than the threshold value of this time window wireless signal strength in actual time window, then this time window meets transmission requirement, if the predicted value of wireless signal strength is less than the threshold value of this time window wireless signal strength in actual time window, then this time window does not meet transmission requirement, and described progressive threshold value can adopt following formula to arrange:

thr _now＝(1-α)*argmax{r∈h _now}+α*thr _prev

Wherein thr represents threshold value, and α represents forgetting factor, and default setting is 0.125.For each new time window, thr can be updated the needs meeting actual time window.

Accordingly, can obtain the capacity meeting and send the time window required, the capacity of this time window is expressed as:

C(h _i)＝h _i*E[D(r _i)]

Wherein, h _irepresent the time window meeting and send and require, r _irepresent h _imeet the predicted value of wireless signal strength in the time window sending and require, E [D (r _i)] represent at wireless signal strength r _iunder network throughput.

Step 13, meet the waiting list of each application program in the time window that sends and require carry out prioritization to described.

This step determines in the time window meeting transmission requirement, the order of each application program accessing wireless network.Particularly, describedly carry out prioritization can comprise meeting the waiting list of each application program in the time window that sends and require:

Step 131, obtain the application parameter of each application program, wherein, described application parameter comprises the stand-by period of each application program in waiting list, each application program and the correlation of user and the obstruction deadline of each application program

In this step, first the initialization application parameter of each application program is obtained, because different application programs has the demand of different accessing wireless networks, therefore, need to determine its prioritization in waiting list according to the application parameter of each application program.

The described stand-by period refers to the waiting time of some application programs in waiting list, if the waiting time of an application program is longer, then the priority of this application program in waiting list is higher.The correlation of described each application program and user refers to the frequency that an application program is used by user every day, if an application program is higher by the frequency used, then the priority of this application program in waiting list is also corresponding higher.The obstruction of described each application program comprises maximum latency and the maximum retransmission of an application program deadline, wherein, described maximum latency is traditionally arranged to be 120S, the time that the number of retransmissions of an application program reaches maximum retransmission is about 7200S, according to the frequency of utilization that application program is different, block and can upgrade accordingly deadline.

In addition, for the application program of high priority, its rights of using to wireless network should also be controlled, to reserve usage space for other application programs.What residue was corresponding is the ratio that the current data also do not transferred account for single transmission data.Be one estimate comparatively accurately by analyzing the mean value of known single transmission size of data, thus, this statistical value can be used to infer the size of residue.

Step 132, according to the application parameter of each application program, prioritization is carried out to the described waiting list meeting each application program in the time window that sends and require.

When terminal equipment runs, for each application program, its application parameter just can upgrade accordingly, detect simultaneously each application program whether reach block deadline, if this application program does not reach block deadline, then upgrade the priority of this application program, if this application program reaches block deadline, then the priority of this application program is set to limit priority.After having calculated the priority level of each application program in waiting list, according to described prioritization result, control the authority of each application program accessing wireless network.

Step 14, according to described prioritization result, respond each application program in described waiting list and use the request of wireless signal.

In this step, terminal equipment is according to described prioritization result, respond each application program in described waiting list and use the request of wireless signal, generally, the request that each application program uses wireless signal can be responded according to described prioritization result, until described waiting list empties, but, when meeting the capacity sending the time window required described in the data of application program single transmission are greater than, then need to shear the data of each application program needs transmission.Particularly, described according to described prioritization result, respond each application program in described waiting list and use the request of wireless signal to comprise the steps:

Step 141, judge described in meet the transmission data of each application program in the time window that sends and require whether be less than described in meet the capacity sending the time window required, if so, perform step 142, if not, perform step 143.

Meet in the time window that sends and require and may transmit the data of an application program, also the data of multiple application program may be transmitted, when responding the request of each application program access wireless signal, need first to judge whether the data that needs transmit have exceeded the capacity meeting and send the time window required, determine to shear the need of to transmission data according to judged result.

Step 142, respond each application program in described waiting list and use the request of wireless signal.

As shown in Figure 3, Fig. 3 is the transmission data that respond each application program in the embodiment of the present invention one and meet the capacity schematic diagram sending the time window required, refer to Fig. 3 a, in Fig. 3 a, have the transmission data of three different application programs, when three different application programs need the data of transmission be less than described in meet the time window t sending and require ₀capacity time, respond each application program in described waiting list and use the request of wireless signal.

Step 143, meet the transmission data of each application program in the time window that sends and require be cut into the first transmission data and the second transmission data by described, wherein, described first transmission data are transmitted in the described time window meeting transmission requirement, and described second transmission data are transmitted when the next one meets the time window sending and require.

When three different application programs need the data of transmission be more than or equal to described in meet the time window t sending and require ₀capacity time, the transmission data of first application program (referring to Fig. 3 c) inside described waiting list or the transmission data of last application program (referring to Fig. 3 b) are carried out be cut into the first transmission data and the second transmission data, wherein, described first transmission data meet described the time window t sending and require ₀inside transmit, described second transmission data meet the time window t sending and require at the next one ₁shi Jinhang transmits." shearing " mainly make use of " keeping active (keep-alive) " mechanism of TCP, first transmission data and the second transmission data are connected with the network of wireless signal and keep active, such as: needed by each application program single the Data Segmentation of transmission to be the first transmission data and the second transmission data, when the first transmission data are after the current time window meeting transmission requirement transmits, before the death time of application program reaches, carry out the transmission of the second transmission data.Wherein, the described death time can be 120S, can transmit the second transmission data when 119S.

Preferably, the described terminal power-economizing method based on wireless signal strength prediction also can comprise:

The application program of real time execution in step 15, detecting terminal.

Terminal equipment is in actual moving process, often run into the situation of some bursts, such as: certain new application program uses wireless network, but now poor the or wireless network of wireless network signal is prohibited, the application program responding real time execution is now just needed to use the request of wireless signal.

Particularly, for mobile phone, detecting described terminal can use the message (message) in Android machine-processed in the application program of real time execution, screen and keypad lock is detected by registering a message broadcaster on backstage, when user uses mobile phone time, it can untie these two locks, and the application program of real time execution will be detected in real time then.

Step 16, when detecting the application program of real time execution, the application program responding this real time execution uses the request of wireless signal.

When detecting the application program of real time execution, by the application program of this real time execution waiting list priority level be set to the superlative degree, thus the application program guaranteeing preferably to respond this real time execution uses the request of wireless signal.

The terminal power-economizing method of the wireless signal strength prediction that first embodiment of the invention provides, utilize imparametrization forecast model, by predicting the intensity of wireless signal, high-quality wireless signal is utilized to carry out network connection, can to make rational planning for the strategy of wireless wireless communication, improve the utilization ratio of high-quality wireless signal, reduce the energy ezpenditure of wireless signal simultaneously, the energy optimizing terminal uses.

Second embodiment

Fig. 4 is the structure chart of the terminal energy saver based on wireless signal strength prediction according to a second embodiment of the present invention, as shown in Figure 4, this device can be used for using with the energy optimizing terminal in PC or handheld device, wherein, described handheld device can be smart mobile phone or panel computer etc., the described terminal energy saver based on wireless signal strength prediction comprises prediction module 21, window selection module 22, priority block 23 and the first respond module 24

Described prediction module 21 is for obtaining the predicted value of wireless signal strength in actual time window, described window selection module 22 is for the predicted value according to wireless signal strength in described actual time window, select to meet the time window sending and require, described priority block 23 is for carrying out prioritization to the waiting list of each application program in the described time window meeting transmission requirement, described first respond module 24, for according to described prioritization result, responds each application program in described waiting list and uses the request of wireless signal.

Wherein, described prediction module 21 can comprise collecting unit 211, computing unit 212 and predicting unit 213.

Described collecting unit 211 is for gathering the intensity level of wireless signal in historical time window, described computing unit 212 calculates the distribution function of wireless signal strength in actual time window for the intensity level of wireless signal in the historical time window that collects described in basis, described predicting unit 213, for the distribution function according to wireless signal strength in described actual time window, utilizes marginal probability distribution to obtain the predicted value of wireless signal strength in actual time window.

Wherein, described priority block 23 can comprise acquiring unit 231 and sequencing unit 232.

Described acquiring unit 231 is for obtaining the application parameter of each application program, wherein, described application parameter comprises the stand-by period of each application program in waiting list, each application program and the correlation of user and the obstruction deadline of each application program, and described renewal sequencing unit 232 carries out prioritization for the application parameter according to each application program to the waiting list of each application program in the described time window meeting transmission requirement.

Wherein, described first respond module 24 can comprise judging unit 241, response unit 242 and cut cells 243.

Described judging unit 241 meets the capacity sending the time window required described in whether being less than for the transmission data meeting each application program in the time window that sends and require described in judging, described response unit 242 is for when meeting the capacity sending the time window required described in meeting the transmission data of each application program in the time window sending and require and being less than, according to described prioritization result, respond each application program in described waiting list and use the request of wireless signal, described cut cells 243 is for when meeting the capacity sending the time window required described in meeting the transmission data of each application program in the time window sending and require and being greater than, the transmission data of each application program in the described time window meeting transmission requirement are cut into the first transmission data and the second transmission data, wherein, described first transmission data are transmitted in the described time window meeting transmission requirement, described second transmission data are transmitted when the next one meets the time window sending and require.

Preferably, the described terminal energy saver based on wireless signal strength prediction also can comprise detecting module 25 and the second respond module 26.

Described detecting module 25 is for detecting the application program of real time execution in described terminal, and described second respond module 26 is for when detecting the application program of real time execution, and the application program responding this real time execution uses the request of wireless signal.

Below, be described the workflow of the terminal energy saver based on wireless signal strength prediction that the present embodiment provides, as shown in Figure 5, Fig. 5 is the operating diagram that in the embodiment of the present invention two, intelligent wireless network controls.

Prediction module predicts the predicted value of wireless signal strength in actual time window for-70dbm, whether window selection module meets transmission requirement by this time window of threshold decision of real-time update, prioritization is carried out to meeting the waiting list of each application program in the time window that sends and require by priority block, this application program can be browser, chat tool, shopping tool or anti-virus tools etc., according to the prioritization of application program each in described waiting list, the order of each application program accessing wireless network is determined by the first respond module, respond each application program in described waiting list and use the request of wireless signal, make application program that high-quality wireless signal can be utilized to carry out network connection.

The terminal energy saver based on wireless signal strength prediction that second embodiment of the invention provides, by the intensity of wireless signal in prediction module prediction actual time window, selected by window selection module to meet the time window sending and require, by priority block, prioritization is carried out to the waiting list of each application program, respond each application program in described waiting list by the first respond module and use the request of wireless signal, thus high-quality wireless signal can be utilized to carry out network connection, improve the utilization ratio of wireless signal, reduce the energy ezpenditure of wireless signal simultaneously.

Obviously, those skilled in the art should be understood that, above-mentioned of the present invention each module or each step can realize with general calculation element, they can concentrate on single calculation element, or be distributed on network that multiple calculation element forms, alternatively, they can realize with the executable program code of computer installation, thus they storages can be performed by calculation element in the storage device, or they are made into each integrated circuit modules respectively, or the multiple module in them or step are made into single integrated circuit module to realize.Like this, the present invention is not restricted to the combination of any specific hardware and software.

The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, to those skilled in the art, the present invention can have various change and change.All do within spirit of the present invention and principle any amendment, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.

Claims (10)

1., based on a terminal power-economizing method for wireless signal strength prediction, it is characterized in that, described method comprises:

Obtain the predicted value of wireless signal strength in actual time window;

According to the predicted value of wireless signal strength in described actual time window, select to meet the time window sending and require;

Prioritization is carried out to the waiting list of each application program in the described time window meeting transmission requirement;

According to described prioritization result, respond each application program in described waiting list and use the request of wireless signal.

2. method according to claim 1, is characterized in that, in described acquisition actual time window, the predicted value of wireless signal strength comprises:

Gather the intensity level of wireless signal in historical time window;

The distribution function of wireless signal strength in actual time window is calculated according to the intensity level of wireless signal in the described historical time window collected;

According to the distribution function of wireless signal strength in described actual time window, marginal probability distribution is utilized to obtain the predicted value of wireless signal strength in actual time window.

3. method according to claim 1, is characterized in that, carries out prioritization comprise the waiting list of each application program in the described time window meeting transmission requirement:

Obtain the application parameter of each application program, wherein, described application parameter comprises the stand-by period of each application program in waiting list, each application program and the correlation of user and the obstruction deadline of each application program;

Application parameter according to each application program carries out prioritization to the waiting list of each application program in the described time window meeting transmission requirement.

4. method according to claim 1, is characterized in that, according to described prioritization result, responds each application program in described waiting list and uses the request of wireless signal to comprise:

Meet described in judgement the transmission data of each application program in the time window that sends and require whether be less than described in meet the capacity sending the time window required,

If so, according to described prioritization result, respond each application program in described waiting list and use the request of wireless signal;

If not, then the transmission data of each application program in the described time window meeting transmission requirement are cut into the first transmission data and the second transmission data, wherein, described first transmission data are transmitted in the described time window meeting transmission requirement, and described second transmission data are transmitted when the next one meets the time window sending and require.

5. method according to claim 1, is characterized in that, described method also comprises:

The application program of real time execution in detecting terminal;

When detecting the application program of real time execution, the application program responding this real time execution uses the request of wireless signal.

6., based on a terminal energy saver for wireless signal strength prediction, it is characterized in that, described device comprises:

Prediction module, for obtaining the predicted value of wireless signal strength in actual time window;

Window selection module, for the predicted value according to wireless signal strength in described actual time window, selects to meet the time window sending and require;

Priority block, for carrying out prioritization to the waiting list of each application program in the described time window meeting transmission requirement;

First respond module, for according to described prioritization result, responds each application program in described waiting list and uses the request of wireless signal.

7. device according to claim 6, is characterized in that, described prediction module comprises:

Collecting unit, for gathering the intensity level of wireless signal in historical time window;

Computing unit, the intensity level for wireless signal in the historical time window that collects described in basis calculates the distribution function of wireless signal strength in actual time window;

Predicting unit, for the distribution function according to wireless signal strength in described actual time window, utilizes marginal probability distribution to obtain the predicted value of wireless signal strength in actual time window.

8. device according to claim 6, is characterized in that, described priority block comprises:

Acquiring unit, for obtaining the application parameter of each application program, wherein, described application parameter comprises the stand-by period of each application program in waiting list, each application program and the correlation of user and the obstruction deadline of each application program;

Sequencing unit, carries out prioritization for the application parameter according to each application program to the waiting list of each application program in the described time window meeting transmission requirement.

9. device according to claim 6, is characterized in that, described first respond module comprises:

Judging unit, meets the capacity sending the time window required described in whether the transmission data for meeting each application program in the time window that sends and require described in judging are less than;

Response unit, for when meeting the capacity sending the time window required described in meeting the transmission data of each application program in the time window sending and require and being less than, according to described prioritization result, respond each application program in described waiting list and use the request of wireless signal;

Cut cells, for when meeting the capacity sending the time window required described in meeting the transmission data of each application program in the time window sending and require and being greater than, the transmission data of each application program in the described time window meeting transmission requirement are cut into the first transmission data and the second transmission data, wherein, described first transmission data are transmitted in the described time window meeting transmission requirement, and described second transmission data are transmitted when the next one meets the time window sending and require.

10. device according to claim 6, is characterized in that, described device also comprises:

Detecting module, for detecting the application program of real time execution in terminal;

Second respond module, for when detecting the application program of real time execution, the application program responding this real time execution uses the request of wireless signal.