Heuristic Optimization of Bandwidth Reservation Cost for Vehicular Applications

被引：5

作者：

Al-Khatib, Abdullah A. ^{[1
]}

Ul Hassan, Muneeb ^{[2
]}

Moessner, Klaus ^{[3
]}

机构：

[1] Landshut Univ Appl Sci, Inst Data & Proc Sci, Landshut, Germany

[2] Swinburne Univ Technol, Hawthorn, Vic 3122, Australia

[3] Tech Univ Chemnitz, Professorship Commun Engn, Chemnitz, Germany

来源：

2022 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM 2022) | 2022年

关键词：

Network Resource Reservation; Update Reservation; Safety Critical Applications; Networked Vehicles;

D O I：

10.1109/GLOBECOM48099.2022.10001328

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Safety-critical vehicular applications require significant computation and communication resources and have strict performance requirements. Therefore, individual bandwidth reservation schemes are used to support such processes. Such schemes allow vehicles to place a cost-efficient smart reservation request alongside providing guaranteed bandwidth resources. However, efficient reservation is difficult to achieve due to uncertainty in both; future reservation requirement (i.e., demand) and network operator (NO) bandwidth cost. In order to solve this problem, a Heuristic Greedy Update Smart Reservation algorithm (HG-USR) is proposed by formulating bandwidth reservation cost problem. The primary objective of this formulation is to minimize the total reservation cost in certain problem scenarios, such as exact-booking, under-booking, and over-booking over time as the vehicle moves through the driving path. Extensive numerical studies have been carried out with the help of our proposed model. The experimental outcomes show that vehicle can successfully minimize the total cost of bandwidth resources as compared to prediction-based bandwidth reservation cost and immediate reservation request based approaches.

引用

页码：4909 / 4915

页数：7