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Minimized vehicle energy consumption task unloading scheme based on mobile edge calculation

An edge computing and minimization technology, applied in location information-based services, specific environment-based services, vehicle wireless communication services, etc., can solve problems such as poor energy consumption reduction, no long-term vision, and decision-making algorithms only focus

Active Publication Date: 2019-06-28
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

But the decision algorithm for this idea only looks at the situation at the current location
Without a long-term vision, it is very poor at reducing energy consumption

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  • Minimized vehicle energy consumption task unloading scheme based on mobile edge calculation
  • Minimized vehicle energy consumption task unloading scheme based on mobile edge calculation
  • Minimized vehicle energy consumption task unloading scheme based on mobile edge calculation

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[0037] 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.

[0038] figure 1 The system model block diagram used in the present invention specifically includes:

[0039] The core of mobile edge computing is the mobile edge server. In the scenario where multiple service base stations (macro base stations or roadside units) and multiple vehicles are deployed, the mobile edge server is placed on the side of the service base station and connected to the service base station by wire. A service base station has computing power and can be turned off and on freely. In addition, a core scheduler is deployed in the system model. This scheduler manages and monitors the dynamics of vehicles and service base stations, but does not have the ability to execute data. The core scheduler Responsibl...

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Abstract

The mobile edge calculates close attention of researchers caused by communication advantages brought by the fact that the mobile edge is close to a user, and the communication quality of vehicles canbe effectively improved by combining the mobile edge with the Internet of Vehicles technology. Task offloading problems based on vehicle mobility management are studied herein. In consideration of real-time switching of a communication area passing through a base station and real-time connection and disconnection of a communication line when a vehicle moves, the task unloading problem is decomposed into a resource-based unloading proportion distribution sub-problem and a prediction-based path switching sub-problem. And a maximum energy-saving selection algorithm and a short-term path prediction algorithm are formulated to meet the time delay constraint and minimize the task unloading energy consumption at the same time.

Description

technical field [0001] The present invention relates to the technical field of wireless short-distance communication in the Internet of Vehicles system, in particular to a task offloading solution for minimizing vehicle energy consumption based on mobile edge computing Background technique [0002] With the prosperity of online games, augmented reality and the Internet of Things (IoT), a large number of computing tasks are generated on devices with limited resources. Mobile edge computing (MEC) can help improve user experience by delivering IT and cloud computing capabilities within the radio access network (RAN) near mobile users. Cloud computing, which offers nearly unlimited resources available, seems inefficient in latency-bound applications. MEC can be regarded as a product of remote clouds close to mobile users, which may benefit from the evolution of Internet architecture from TCP / IP to named data network (NDN). Similar technologies include fog computing and Cloudle...

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Application Information

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IPC IPC(8): H04W4/44H04W4/029H04W36/32H04L29/08G06F9/455
CPCY02D30/70
Inventor 张海波栾秋季刘开健李虎
Owner CHONGQING UNIV OF POSTS & TELECOMM
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