A Fuzzy-Based System for Cloud-Fog-Edge Selection in VANETs

被引：7

作者：

Bylykbashi, Kevin ^{[1
]}

Liu, Yi ^{[1
]}

Matsuo, Keita ^{[2
]}

Ikeda, Makoto ^{[2
]}

Barolli, Leonard ^{[2
]}

Takizawa, Makoto ^{[3
]}

机构：

[1] Fukuoka Inst Technol, Grad Sch Engn, Higashi Ku, 3-30-1 Wajiro Higashi, Fukuoka, Fukuoka 8110295, Japan

[2] Fukuoka Inst Technol, Dept Informat & Commun Engn, Higashi Ku, 3-30-1 Wajiro Higashi, Fukuoka, Fukuoka 8110295, Japan

[3] Hosei Univ, Dept Adv Sci, Fac Sci & Engn, 3-7-2 Kajino Machi, Koganei, Tokyo 1848584, Japan

来源：

ADVANCES IN INTERNET, DATA AND WEB TECHNOLOGIES | 2019年 / 29卷

关键词：

D O I：

10.1007/978-3-030-12839-5_1

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Vehicular Ad Hoc Networks (VANETs) have gained a great attention due to the rapid development of mobile internet and Internet of Things (IoT) applications. With the evolution of technology, it is expected that VANETs will be massively deployed in upcoming vehicles. However, these kinds of wireless networks face several technical challenges in deployment and management due to variable capacity of wireless links, bandwidth constrains, high latency and dynamic topology. Cloud computing, fog computing and edge computing are considered a way to deal with these communication challenges. In this paper, we propose a Fuzzy-based System for Resource Coordination and Management (FSRCM) in VANETs. The proposed system considers vehicle mobility, data size, time sensitivity and remained storage capacity to select processing layer of the VANETs application data. We evaluated the performance of proposed system by computer simulations. From the simulations results, we conclude that the vehicles choose the appropriate layer to process and keep the data based on their velocity, remained storage and data size.

引用

页码：1 / 12

页数：12

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