Internet of Vehicles-oriented multi-utility-criterion high-energy-efficiency network selection method

Abstract

The invention discloses an Internet of Vehicles-oriented multi-utility-criterion high-energy-efficiency network selection method, belongs to the field of network selection for vehicle infrastructure networks in heterogeneous wireless networks, and particularly relates to a high-energy-efficiency network selection method constructed by using a multi-standard utility theory. The present invention jointly considers a plurality of decision factors to facilitate networking of vehicle infrastructure. The energy efficiency of the network is regarded as an important factor for network selection. The energy efficiency, the signal strength, the network cost, the delay and the bandwidth are regarded as decision factors. They utility functions are used to characterize user preferences and network performance. The multi-standard utility theory is used for constructing a high-energy-efficiency network selection method. Several design strategies are proposed to construct a joint multi-standard utility function for network selection. A multi-constraint optimization model is also proposed to describe the network selection of the Internet of Vehicles application. A multi-standard access selection algorithm is proposed to solve the model to provide better network selection performance.

Description

technical field [0001] The invention belongs to the field of green communication of the Internet of Vehicles, and in particular relates to a network selection method with multiple utility criteria and high energy efficiency for the Internet of Vehicles. Background technique [0002] Emerging technologies for connected vehicles have become a hot topic. However, telematics applications are often used in heterogeneous wireless networks. In this context, user terminals are faced with the challenge of selecting an access network. Furthermore, high energy consumption is an important issue in current communication networks. [0003] With the emerging needs and fast-paced development of smart cities, smart transportation and in-vehicle entertainment, multimedia videos, pictures, photos, real-time traffic and vehicle information, weather information, etc. must be quickly uploaded to the data processing platform of these applications through the wireless in-vehicle network . For e...

AI Technical Summary

Problems solved by technology

It is very difficult for the user terminal to select the appropriate network from the multiple available networks

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