Unlock instant, AI-driven research and patent intelligence for your innovation.

Energy-delay tradeoffs for MEC-based energy-aware offloading in Internet of Vehicles

A technology of Internet of Vehicles and computing offloading, which is applied in the direction of services based on specific environments, communication between vehicles and infrastructure, and energy consumption reduction. It can solve problems such as unloadable tasks, limited computing resources of MEC servers, and network interference.

Active Publication Date: 2021-10-22
CHONGQING UNIV OF POSTS & TELECOMM
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Due to the limited computing resources in the MEC server and severe interference between networks, all tasks cannot be offloaded to the MEC server

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
  • Energy-delay tradeoffs for MEC-based energy-aware offloading in Internet of Vehicles
  • Energy-delay tradeoffs for MEC-based energy-aware offloading in Internet of Vehicles
  • Energy-delay tradeoffs for MEC-based energy-aware offloading in Internet of Vehicles

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0104] In order to express the object, technical solution and advantages of the present invention more clearly, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific implementation cases.

[0105] figure 1 The task unloading model diagram of the Internet of Vehicles system used in the present invention specifically includes:

[0106] Consider an ad hoc network of vehicles, in which vehicles can communicate with neighboring vehicles and roadside units (RSUs) through cellular systems to receive the latest road information, and L requesting vehicles obeying Poisson distribution are deployed, denoted as V i(i ∈ {1,2,...,L}), consider a 5G heterogeneous MEC network with one macro cell and M small cells, the macro base station is equipped with an MEC server capable of performing multiple computation-intensive tasks, and The small base station is covered by the macro base station, and the small base station is conn...

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 Internet of Vehicles improves vehicle services by distributing computing tasks between remote clouds and local on-board terminals. To further reduce the latency and transmission cost of computation offloading, we propose a cloud-based Mobile Edge Computing (MEC) offloading framework, MEC brings computing power to the edge of mobile networks close to smart mobile devices, which helps to save energy, but results in increased network load and transmission delays. To study the trade-off between energy consumption and latency, we propose an energy-aware offloading scheme that jointly optimizes communication and computation resource allocation under bounded energy and sensitive latency. In this paper, a multi-cell MEC network scenario is considered. The remaining energy of the vehicle battery is introduced into the definition of weighting factors for energy consumption and delay. For the Mixed Integer Nonlinear Problem (MINLP) of computation offloading and resource allocation, the original NP-hard problem is decoupled into the problem of seeking power and subcarrier allocation and task offloading through a bi-level optimization method.

Description

technical field [0001] The invention relates to the technical field of wireless short-distance communication in an Internet of Vehicles system, in particular to a computing offloading and resource allocation scheme based on mobile edge computing. Background technique [0002] With the rapid development of wireless communication technology, networked vehicles can utilize vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) communication forms to form a vehicle ad hoc network (VANET). Large-scale mobile applications are usually served with the assistance of an on-board unit (OBU). However, the limited computing power of OBU brings new challenges to VANET. To effectively address this issue, offloading computing tasks to the cloud with wireless access is considered a promising approach. Such computationally intensive applications require higher computing power and more energy than traditional applications. Typically, vehicle users have limited computing resources (eg,...

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): H04W4/44H04W4/46H04W72/04H04W72/12
CPCH04W4/44H04W4/46H04W72/53H04W72/535Y02D30/70
Inventor 张海波程妍刘开健
Owner CHONGQING UNIV OF POSTS & TELECOMM