Vehicle-cluster-based opportunistic relays for data collection in intelligent transportation systems

doi:10.1016/j.comnet.2022.109509

	Vehicle-cluster-based opportunistic relays for data collection in intelligent transportation systems
	Sun, Sheng 1; Zhang, Zengqi 1,2; Pan, Quyang 4; Liu, Min 1,2,3; Li, Zhongcheng 1,2
	2023
发表期刊	COMPUTER NETWORKS
ISSN	1389-1286
卷号	220 页码:13
摘要	Intelligent transportation system (ITS) is envisioned to greatly improve traffic and enhance safety on roads. ITS relies on a huge amount of data generated from roadside sensor devices to make decisions. Due to the limited channel resources, the base station (BS) that connects with an ITS server can only collect data from parts of sensor devices at a time. To improve the number of device associations, we regard vehicle clusters as relays to collect data, which can avoid high capital expenditure and operating expenses from dedicated relays. Due to the frequently varying channel interference and the limited communication coverage of a vehicle cluster relay (VCR), it is challenging to guarantee the transmission rates and the fairness of sensor devices, which will affect the decisions of ITS. For this reason, we propose a Movement-and Fairness-Aware Heuristic (MFAH) algorithm to tackle the above challenges. MFAH sequentially conducts two novel channel allocation schemes, i.e., exclusive channel allocation scheme and compatible channel allocation scheme, to fast allocate channels and improve the channel utilization, which increases the number of device associations while guaranteeing the transmission rates. Regarding the fairness of each device's associations, we propose a device association scheme based on the cumulative number of device associations and the distance from the target VCR to select appropriate sensor devices to upload data. We theoretically analyze the lower bound of the obtained network utility. Extensive simulations show that compared with benchmarks, the proposed MFAH algorithm converges fast and effectively improves the network utility (i.e., increasing the number of device associations while guaranteeing the fairness of device associations).
关键词	Intelligent transportation system Channel allocation Device association
DOI	10.1016/j.comnet.2022.109509
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Program of China[2021YFB2900102] ; National Natural Science Foundation of China[61732017] ; National Natural Science Foundation of China[62072436] ; National Natural Science Foundation of China[61872028]
WOS研究方向	Computer Science ; Engineering ; Telecommunications
WOS类目	Computer Science, Hardware & Architecture ; Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:000904941900001
出版者	ELSEVIER
引用统计	被引频次：3[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/20204
专题	中国科学院计算技术研究所期刊论文
通讯作者	Liu, Min
作者单位	1.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Sch Comp Sci & Technol, Beijing, Peoples R China 3.Zhongguancun Lab, Beijing, Peoples R China 4.Xidian Univ, Xian, Peoples R China
推荐引用方式 GB/T 7714	Sun, Sheng,Zhang, Zengqi,Pan, Quyang,et al. Vehicle-cluster-based opportunistic relays for data collection in intelligent transportation systems[J]. COMPUTER NETWORKS,2023,220:13.
APA	Sun, Sheng,Zhang, Zengqi,Pan, Quyang,Liu, Min,&Li, Zhongcheng.(2023).Vehicle-cluster-based opportunistic relays for data collection in intelligent transportation systems.COMPUTER NETWORKS,220,13.
MLA	Sun, Sheng,et al."Vehicle-cluster-based opportunistic relays for data collection in intelligent transportation systems".COMPUTER NETWORKS 220(2023):13.