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Low power consumption intelligent scheduling algorithm based on mobile network

An intelligent scheduling, mobile network technology, applied in power management, energy reduction, advanced technology, etc., can solve problems such as measuring energy consumption

Inactive Publication Date: 2016-10-12
SHENZHEN JINGHONGQUAN INTELLIGENT TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, most of the popular devices on the market do not perform corresponding low-power consumption processing. The main reason is that there is no tool that can measure energy consumption online under the condition of relatively low system energy consumption, and accurately analyze the energy consumption in smart terminals. Which hardware components are consuming power

Method used

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  • Low power consumption intelligent scheduling algorithm based on mobile network
  • Low power consumption intelligent scheduling algorithm based on mobile network
  • Low power consumption intelligent scheduling algorithm based on mobile network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0038] Example 1: Activation conversion

[0039] Assuming that there are 6 modules in the system: all modules are active after power on. They are the number of data sent and received by the node respectively, and the data packets can be obtained directly under the Android system.

[0040] Selection of parameters: i is the number of nodes in the system, the total i=6 in this system; β is the weight value of the weighting parameter, and this system adopts the average weighting method. cut-off value B upper and B lower , 0lower upper lower should be close to 0 and not equal to 0, B upper Close to 1, the optimal link will be obtained, but there is a delay in the actual situation, so B upper =0.7,B lower =0.2, to prevent data packet loss; δ is the empirical value of the change amount in the monitoring state, to prevent the system from repeatedly calculating and downgrading the CPU calculation amount when the change is relatively small. T sniff It should be the least common ...

Embodiment 2

[0048] Embodiment 2: Sleep conversion

[0049] ∀ d i , d i ∈ Q o f f , D o f f i = B i B m a x

[0050] where B max =max(B i ),t max =max(t i )

[0051] Corresponding to max(D off i ) node d;

[0052] B>B upper ,Delete(Q off ,d),insert(Q active , d).

[0053] B≤B upper ,Delete(Q off ,d),insert(Q sniff , d).

[0054] T s n i f f = T ...

Embodiment 3

[0056] Embodiment 3: Monitoring conversion

[0057] Initially:

[0058] Calculate B i : but

[0059] Amendment B i :

[0060] The corresponding node d,

[0061] D>B upper ,Delete(Q sniff ,d),insert(Q active , d).

[0062] D≤B lower ,Delete(Q snifff ,d),insert(Q off , d).

[0063] calculate

[0064] A i ≥δ

[0065] B h i s t o r y i B i , T s n i f f a t t e m p t n e w = ( 1 + | ...

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Abstract

The invention discloses a low power consumption intelligent scheduling algorithm based on a mobile network. A busy degree is visualized in a data form; cut-off values Bupper and Blower are set; low power consumption modes specifically include an activation mode, a monitoring mode and a sleep mode arranged according to a way of progressively decreased power consumption; working out a real-time busy factor after detecting the flow; and starting a node to enter one mode by comparing the relation between the busy factor and the cut-off values. A scheduling algorithm strategy based on the mobile network is provided, in the strategy, a prediction model based on an adaptive algorithm is established, and the communication gap of the system module in the activation mode, the monitoring mode and the sleep mode is corrected in time. The management on resources of the whole embedded system following the principle of lowest power consumption is achieved. The strategy can further reduce the average power consumption of the terminal system, and is wider in application range. At last the algorithm is applied to the lower power consumption design of the vehicle-mounted intelligent terminal.

Description

technical field [0001] The invention relates to the technical field of mobile network systems, in particular to an intelligent scheduling algorithm based on low power consumption of the mobile network. Background technique [0002] In today's society, with the rapid development of embedded technology, people's requirements for mobile smart terminals are getting higher and higher, and many applications with powerful functions and rich interfaces appear on smart terminals. The problem brought about by the prosperity of applications is that the standby time of smart terminals is getting shorter and shorter, which cannot meet the daily needs of users. Since the development of the battery is affected by its physical process, simply improving the battery life cannot meet the power demand of mobile smart terminal devices. Especially for in-vehicle systems, the single source of power supply must consider the impact of software on the power consumption of mobile smart terminal equip...

Claims

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Application Information

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IPC IPC(8): H04W52/02H04W72/12
CPCH04W52/0219H04W72/542Y02D30/70
Inventor 张巧玲
Owner SHENZHEN JINGHONGQUAN INTELLIGENT TECH CO LTD
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