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Unloading decision and power distribution method in V2V communication based on calculation reliability

A distribution method and reliability technology, applied in specific environment-based services, wireless communication, vehicle-to-vehicle communication, etc., to achieve significant performance, improve reliability, and improve computing reliability

Pending Publication Date: 2022-04-08
SOUTHEAST UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Therefore, how to achieve reliable and efficient computational offloading is a great challenge
At the same time, in a dynamic transmission environment, how to further ensure the coupling reliability of communication and computing is even more challenging.

Method used

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  • Unloading decision and power distribution method in V2V communication based on calculation reliability
  • Unloading decision and power distribution method in V2V communication based on calculation reliability
  • Unloading decision and power distribution method in V2V communication based on calculation reliability

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Embodiment 1

[0055] see Figure 1-Figure 3 , this embodiment proposes a method for unloading decision-making and power allocation in V2V communication based on computing reliability, which specifically includes: the method is based on a vehicle-mounted computing offloading system, and the system includes a cloud computing center node and K foggy vehicle nodes as a Computing services are provided to vehicle users, and fog nodes are closer to users with computing needs than cloud nodes. In order to enhance calculation reliability, the user's calculation task of size D is divided into N subtasks, and all subtasks will be offloaded to K fog nodes.

[0056] use Represents a collection of fog nodes, with Represents a collection of subtasks. The data size of the nth subtask is recorded as D n , then the calculation cycle required by this subtask is F n =βD n , where β is the calculation cycle required by each bit calculation task.

[0057] All subtasks are repeatedly sent n times, as lon...

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Abstract

The invention discloses an unloading decision and power distribution method in V2V communication based on calculation reliability, and the method comprises the steps: building a task unloading completion model, dividing a total task of a vehicle-mounted user into a plurality of sub-tasks in the model, and transmitting the plurality of sub-tasks to a fog node for processing, all the sub-tasks are repeatedly sent for multiple times, and when the fog node cannot process the sub-tasks, the fog node sends the sub-tasks to the cloud node for processing; determining the total time delay and the completion probability when a certain subtask is completed; determining the reliability of vehicle-mounted user total task completion, and constructing a reliability maximization problem under power constraint according to the reliability; a specific unloading decision design scheme is given based on a matching theory to solve a maximization problem; compared with a baseline scheme of directly unloading to a cloud node, the method provided by the invention can effectively improve the system reliability under the condition of considering a dynamic channel state environment.

Description

technical field [0001] The present invention relates to an unloading decision and a power distribution method, in particular to a computing reliability-based unloading decision and a power distribution method in V2V communication. Background technique [0002] V2V is the abbreviation of 'Vehicle to Vehicle Communication (Vehicle to Vehicle)'. V2V is a network state where nodes (cars, smart traffic lights, etc.) in the network can emit, capture and forward signals. [0003] At present, the scale of use of various advanced vehicle sensors continues to expand, and the demand for vehicle information services is also increasing. At the same time, with the increasing maturity of vehicle-mounted software and algorithms, vehicle-mounted terminals are required to efficiently process complex programs (such as real-time application algorithms such as trajectory tracking, navigation and positioning, and environment recognition). [0004] However, such vehicle-equipped terminals are li...

Claims

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Application Information

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IPC IPC(8): H04W4/46H04W72/04H04L67/10G06F9/445
Inventor 潘怡瑾仓一涵陈明
Owner SOUTHEAST UNIV
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