Vehicle-mounted fog-assisted motorcade task unloading method based on semi-Markov decision process

A semi-Markov decision-making and task technology, applied in the direction of program loading/starting, program control design, program control device, etc., can solve the problems of dynamic changes in the internal resources of the vehicle fog, limited internal resources of the fleet, etc., and achieve long-term benefits of the large system , Moderate computational complexity and reasonable system model

Active Publication Date: 2021-08-31
JIANGNAN UNIV
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Problems solved by technology

[0008] For this reason, the technical problem to be solved by the present invention is to overcome the limited internal resources of the vehicle fl

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  • Vehicle-mounted fog-assisted motorcade task unloading method based on semi-Markov decision process
  • Vehicle-mounted fog-assisted motorcade task unloading method based on semi-Markov decision process
  • Vehicle-mounted fog-assisted motorcade task unloading method based on semi-Markov decision process

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Embodiment Construction

[0047] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, so that those skilled in the art can better understand the present invention and implement it, but the examples given are not intended to limit the present invention.

[0048] The vehicle team task unloading method based on the semi-Markov decision process of the present invention is assisted by fog, and the steps are as follows:

[0049] Step S1: First define the state set of the system. In the semi-Markov decision model, the system state includes the state of vehicle processing tasks in the fleet, the number of tasks processed by different numbers of vehicles in the vehicle fog computing system, the total number of vehicles in the vehicle fog, and the current events. figure 1 A system frame diagram is given. The state set of the system is represented as follows:

[0050]

[0051] where n i Indicates the vehicle V i (i=1,...,N) the number...

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Abstract

The invention relates to a vehicle-mounted fog-assisted motorcade task unloading method based on a semi-Markov decision process. Factors such as sending time delay and calculation time delay in task unloading are considered at the same time, and a task unloading model based on a semi-Markov decision process is established. Then, a system state set and an action set are defined, a system state transition probability formula and a system reward function are deduced, and an SMDP model is solved based on a Bellman equation by using a value iteration algorithm to obtain an optimal task unloading strategy. According to the scheme, the calculation complexity is moderate, the system model is reasonable, and how to distribute tasks and various time delays involved in the task unloading process are fully considered. A simulation result shows that the scheme can obtain greater long-term benefits of the system on the premise of ensuring task unloading time delay.

Description

technical field [0001] The invention relates to the technical field of vehicle task unloading, in particular to a team task unloading method based on a semi-Markov decision process assisted by vehicle fog. Background technique [0002] With the development of science and technology, driverless fleets are becoming more and more popular, thereby improving road safety. Among them, each team consists of a lead car and several member cars. Specifically, the leading car controls the speed, acceleration and driving direction of the entire convoy, and the member cars follow the leading car one by one at the same speed in the same lane. Unmanned vehicles are generally equipped with cameras and radars, which generate a lot of redundant data. At this time, the vehicle needs to calculate and analyze the data in order to extract useful information. According to Intel Corporation, a car needs to calculate, analyze and fuse a large amount of sensor data (about 1GB / s) in order to make sa...

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Application Information

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IPC IPC(8): G06F9/445H04L29/08
CPCG06F9/44594H04L67/12
Inventor 吴琼王思远葛红梅
Owner JIANGNAN UNIV
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