Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A Renewable Energy Allocation Algorithm Based on Master-Slave Game

A renewable energy, energy technology, applied in computing, data switching current sources, instruments, etc., can solve the problem of energy supplier cooperation model between nodes without considering the needs of end users, and achieve the effect of improving revenue

Active Publication Date: 2021-03-23
NANJING UNIV OF POSTS & TELECOMM
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although this paper proposes a distributed algorithm for energy allocation, it does not consider the needs of end users and the cooperation model of energy suppliers between nodes.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A Renewable Energy Allocation Algorithm Based on Master-Slave Game
  • A Renewable Energy Allocation Algorithm Based on Master-Slave Game
  • A Renewable Energy Allocation Algorithm Based on Master-Slave Game

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0027] This embodiment is used in a wireless network, including the following steps:

[0028] In the first step, the energy supplier on the backhaul link sets an appropriate energy price.

[0029] In the second step, the operator sets subscription volume and service charges based on energy prices.

[0030] In the third step, the energy suppliers of each node form an alliance, and repeat the first and second steps to achieve a stable alliance structure.

[0031] Since the operator needs to take into account the price elasticity index when setting the data backhaul price, the different path loss of each location needs to be taken into account when setting the order quantity Therefore, the energy ordered by the operator from each supplier can be expressed as:

[0032]

[0033] Where b represents the price elasticity index, R represents the data transmission rate, α represents the number of users, and β represents the probability of users accepting the service price set by t...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a green energy harvesting technology for distributed wireless backhaul links. Each node on the wireless backhaul link is functioned by a green energy node. The disclosed technology is implemented through a renewable energy distribution method based on a master-slave game, which enables stable networking of the entire distributed green wireless link. The algorithm contains the following steps: the first step, the energy supplier on the backhaul link sets the appropriate energy price; the second step, the operator sets the subscription volume and service fee according to the energy price; the third step, the energy supplier of each node Form an alliance among them and repeat steps one and two to achieve a stable alliance structure. Compared with the existing technology, the resource pricing technology designed by the present invention can enable wireless backhaul link operators and multiple distributed green energy supply nodes to work collaboratively and stably, so that all parties can obtain reasonable benefits, thereby constructing an efficient , Stable green wireless backhaul link system.

Description

technical field [0001] The invention belongs to the technical field of wireless networks, and in particular relates to a master-slave game-based renewable energy distribution algorithm on a wireless network backhaul link node. Background technique [0002] In recent years, with the rapid development of wireless networks, the backhaul link needs to transmit more and more data, and the demand for energy is also increasing. How to reduce energy consumption and allocate energy for each node in the multi-hop backhaul link will be Be the key to next-generation green wireless network design. The multi-hop backhaul link can greatly reduce the path loss caused by long-distance data transmission. Each node is both a terminal and an access device. In a scenario with a large network and many users, it can significantly improve energy utilization. . Most of the existing literature proposes energy allocation strategies for the nodes of the backhaul link, without considering the sensitiv...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): H04L12/14H04W4/24H04L12/10G06Q30/02G06Q50/30
CPCH04L12/10H04L12/1403H04W4/24G06Q30/0283G06Q50/40
Inventor 李大鹏杨晨飞黄波
Owner NANJING UNIV OF POSTS & TELECOMM
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products