A prediction mechanism-based multi-task competition offloading method for mobile devices

Abstract

The present invention claims to protect a multi-task competition unloading method based on a prediction mechanism, comprising the following main steps: S1, obtaining a user stay area, and converting the original trajectory point sequence into a stay area sequence; S2, using a dynamic parameter partial matching prediction algorithm to train a prediction model , according to the user's stay area sequence, predict the user's next most likely stay area; S3, based on the prediction result, calculate the distance between the user's next most likely stay area and the base station, and calculate the data transmission speed; S4, establish the energy consumption minimization model; S5, use the variant firefly algorithm to solve the optimization problem, and obtain the final unloading decision. (1) The present invention considers the influence of user equipment mobility on the data transmission rate, so that the formulation of the offloading strategy is closer to the actual situation and avoids unexpected energy consumption; (2) Compared with traditional intelligent algorithms such as genetic algorithms, this paper adopts The mutant firefly algorithm has stronger global convergence ability and better performance.

Description

Technical field[0001]The invention belongs to the field of task offloading of mobile edge computing, and particularly relates to a multi-task competitive offloading strategy based on a prediction mechanism.Background technique[0002]With the development of network and communication technology, mobile devices (such as smart phones, tablet computers, and wearable devices) have become increasingly popular. According to a recent report submitted by the Cisco Visual Network Index, between 2016 and 2021, global mobile data traffic will increase 7 times. By 2021, the per capita user device will reach 1.5, and there will be 11.6 billion mobile connected devices. The explosive popularity of mobile user devices has accelerated the emergence of many new user applications and services (such as virtual reality, augmented reality, interactive online games and ultra-high-definition video streaming), most of which are delay-sensitive and computationally intensive applications . The conflict between ...

AI Technical Summary

Problems solved by technology

However, if there are a large number of tasks offloaded at the same time, it may create server congestion problems, resulting in greater latency and energy consumption than executing locally on the user device

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