Open Access

ARTICLE

Decision Analysis on IoV Routing Transmission and Energy Efficiency Optimization Algorithm with AmBC

Baofeng Ji^1,2,3,*, Mingkun Zhang^1,2, Weixing Wang¹, Song Chen⁴

1 Henan University of Science and Technology, College of Information Engineering, Luoyang, 471000, China
2 Longmen Laboratory, Research and Innovation Center of Intelligent System, Luoyang, 471000, China
3 Institute of Atmospheric Physics, Chinese Academy of Sciences (LAGEO), Beijing, 100000, China
4 YTO Group Corporation, Luoyang, 471000, China

* Corresponding Author: Baofeng Ji. Email:

(This article belongs to the Special Issue: Recent Advances in Backscatter and Intelligent Reflecting Surface Communications for 6G-enabled Internet of Things Networks)

Computer Modeling in Engineering & Sciences 2023, 137(3), 2661-2673. https://doi.org/10.32604/cmes.2023.028762

Received 06 January 2023; Accepted 10 March 2023; Issue published 03 August 2023

Abstract

The improvement of the quality and efficiency of vehicle wireless network data transmission is always a key concern in the Internet of Vehicles (IoV). Routing transmission solved the limitation of transmission distance to a certain extent. Traditional routing algorithm cannot adapt to complex traffic environment, resulting in low transmission efficiency. In order to improve the transmission success rate and quality of vehicle network routing transmission, make the routing algorithm more suitable for complex traffic environment, and reduce transmission power consumption to improve energy efficiency, a comprehensive optimized routing transmission algorithm is proposed. Based on the routing transmission algorithm, an optimization algorithm based on road condition, vehicle status and network performance is proposed to improve the success rate of routing transmission in the IoV. Relative distance difference and density are used as decision-making indicators to measure Road Side Unit (RSU) assisted transmission. And the Ambient backscatter communication (AmBC) technology and energy collection are used to reduce the energy consumption of routing relay transmission. An energy collection optimization algorithm is proposed to optimize the energy efficiency of AmBC and improve the energy efficiency of transmission. Simulation results show that the proposed routing optimization algorithm can effectively improve the success rate of packet transmission in vehicular ad hoc networks (VANETs), and the AmBC optimization algorithm can effectively reduce energy consumption in the transmission process. The proposed optimization algorithm achieves comprehensive optimization of routing transmission performance and energy efficiency.

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Keywords

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