On Enhancing Transmission Performance for IoV Based on Improved Greedy Algorithm

Shuo Deng¹*, Haoyuan Xiong², Qixiang Yang³, Yancong Deng⁴ and Xingxia Dai^5
1Tiangong University, Tianjin, China
²University of California Los Angeles, USA
³Southwest University Beibei District Chongqing, China
⁴University of California San Diego, USA
⁵Southwest University Beibei District Chongqing, China
*Corresponding Author: Shuo Deng, Tiangong University, Tianjin, China.

Published: April 20, 2023

DOI: 10.55162/MCET.04.136

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Abstract  

With the rapid development of the Internet of Things in human life, Vehicle-to-Vehicle (V2V), Internet of Vehicle (IoV) transmission, a technology is used to make a vehicle can detect the position and movement of other vehicles up to a specified range, which plays a significant role in upcoming cellular networks is expected to reduce the traffic jam and accidents in social life. Based on the idea of Greedy algorithm, a method to find the partial optimal solution to get the global solution, the purpose of improving the system effect can be achieved by using this algorithm into IoV transmission. In this paper, firstly, the development and technical essentials of IoV transmission system as well as the realization principle of greedy algorithm are briefly introduced. Then the rest of paper mainly discusses the performance of four models implementing greedy algorithm in IoV fields based on MATLAB by pairwise comparison of experimental results and analysis.

Keywords: V2V; IoV transmission; Greedy algorithm; Transmission route; MATLAB