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Time delay and energy efficiency sensitive service-oriented distributed wireless network task collaborative allocation method

A technology for sensitive services and wireless networks. It is applied in wireless communication, energy consumption reduction, advanced technology, etc. It can solve the problems of high transmission energy consumption, high task execution delay, and huge link burden on edge servers. Energy consumption, reduced latency and energy consumption, effect of reduced time or energy consumption

Active Publication Date: 2020-08-18
NANJING UNIV OF POSTS & TELECOMM
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

With the explosive growth of the number of terminal nodes, the edge server will generate a huge link burden and task load, resulting in various problems such as high transmission energy consumption and high task execution delay.

Method used

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  • Time delay and energy efficiency sensitive service-oriented distributed wireless network task collaborative allocation method
  • Time delay and energy efficiency sensitive service-oriented distributed wireless network task collaborative allocation method
  • Time delay and energy efficiency sensitive service-oriented distributed wireless network task collaborative allocation method

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Embodiment Construction

[0039] The present invention will be further explained below in conjunction with the accompanying drawings.

[0040] Such as figure 1 As shown in , a distributed wireless network network model is built, including a central node and multiple distributed nodes. The central node communicates with the distributed nodes through a wireless connection. The central node collects and updates the status information of the distributed nodes, such as remaining energy, idle time, computing speed, power consumption, etc. Based on these information, the tasks submitted by each node are assigned. , and the central node also needs to obtain the network topology information of each node, and the central node does not participate in the execution of the task. Distributed nodes are heterogeneous devices with computing, communication, storage and other functions. Similarly, distributed nodes are wirelessly connected, and each node is equal in status. Each node can initiate tasks or participate i...

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Abstract

The invention discloses a time delay and energy efficiency sensitive service-oriented distributed wireless network task collaborative allocation method. The method comprises the following three steps:1, establishing a distributed wireless network model; 2, locally performing task priority ranking and emergency task priority processing on each distributed node by adopting an analytic hierarchy process, and then sequentially transmitting the task information with the highest current priority to a central node by each node; and 3, the central node constructing a bipartite graph maximum weight matching model for the state information, the task information and the network information of each distributed node, and reallocating the tasks by using a task allocation method based on a KM algorithm.According to the time delay and energy efficiency sensitive service-oriented distributed wireless network task collaborative allocation method, the task allocation target can be flexibly determined according to the requirements of users and the characteristics of tasks, and the task execution time or energy consumption in distributed nodes is effectively reduced.

Description

technical field [0001] The present invention relates to the technical field of wireless communication network and mobile edge computing, and more specifically, to a method for collaborative computing of distributed edge nodes. Background technique [0002] With the advent of the 5G era, more and more novel applications are emerging, such as image recognition, IoT data stream processing, mobile health computing, etc. These novel applications have high requirements for delay and usually require a large number of However, various wireless terminal devices in the Internet of Things have limited processing capabilities and limited power supply. If these applications are executed by a single device, large energy consumption and time delay will occur. To this end, a common solution at present is to offload computing-intensive tasks to the resource-rich cloud for execution. Cloud execution will generate a large transmission delay. Due to its proximity to the source of data generat...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W24/02H04W24/06H04L29/08
CPCH04W24/02H04W24/06H04L67/1029Y02D30/70
Inventor 田兴鹏朱晓荣
Owner NANJING UNIV OF POSTS & TELECOMM
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