An Intelligent Approach for Resource Management in SDN-VANETs Using Fuzzy Logic

被引:3
|
作者
Qafzezi, Ermioni [1 ]
Bylykbashi, Kevin [1 ]
Spaho, Evjola [2 ]
Barolli, Leonard [3 ]
机构
[1] Fukuoka Inst Technol FIT, Grad Sch Engn, Higashi Ku, 3-30-1 Wajiro Higashi, Fukuoka 8110295, Japan
[2] Polytech Univ Tirana, Fac Informat Technol, Dept Elect & Telecommun, Mother Teresa Sq 4, Tirana, Albania
[3] Fukuoka Inst Technol FIT, Dept Informat & Commun Engn, Higashi Ku, 3-30-1 Wajiro Higashi, Fukuoka 8110295, Japan
关键词
D O I
10.1007/978-3-030-33506-9_68
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we propose an intelligent approach for resource management in Vehicular Ad Hoc Networks (VANETs) using Software Defined Networking (SDN) and Fuzzy Logic (FL) approaches. We introduce a layered Cloud-Fog-Edge computing architecture in SDN-VANETs which is coordinated by the SDN Controller (SDNC). A fuzzy based system implemented in SDNC is used to make decisions on the processing layer of the VANETs application data. The decision is made by prioritizing the application requirements and by considering the available connections. We demonstrate in simulation the feasibility of our proposed system to improve the management of the network resources.
引用
收藏
页码:747 / 756
页数:10
相关论文
共 50 条
  • [41] A Hybrid-Fuzzy Logic Guided Genetic Algorithm (H-FLGA) Approach for Resource Optimization in 5G VANETs
    Khan, Ammara Anjum
    Abolhasan, Mehran
    Ni, Wei
    Lipman, Justin
    Jamalipour, Abbas
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 68 (07) : 6964 - 6974
  • [42] Resource Management in Distributed SDN Using Reinforcement Learning
    Ma, Liang
    Zhang, Ziyao
    Ko, Bongjun
    Srivatsa, Mudhakar
    Leung, Kin K.
    GROUND/AIR MULTISENSOR INTEROPERABILITY, INTEGRATION, AND NETWORKING FOR PERSISTENT ISR IX, 2018, 10635
  • [43] Using SDN Strategies to Improve Resource Management On a NoC
    Nunes, Denis F. L.
    Kreutz, Marcio E.
    2019 IFIP/IEEE 27TH INTERNATIONAL CONFERENCE ON VERY LARGE SCALE INTEGRATION (VLSI-SOC), 2019, : 224 - 225
  • [44] Intelligent Ventilation Management System of Laboratory Based on Fuzzy Logic
    Zhou, Wei
    Zeng, Ziqi
    Bao, Shijie
    2023 9TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND ROBOTICS, ICCAR, 2023, : 158 - 162
  • [45] Intelligent solar power management based on fuzzy logic control
    School of Electrical and Information Engineering, Changchun Institute of Technology, Changchun, China
    Metall. Min. Ind., 11 (12-19):
  • [46] Intelligent Fault Detection, Compensation, and Power Management in Microgrids: A Synchrophasor-Enhanced Approach Using Fuzzy Logic Controllers and RTDS
    Dhinu Lal, M.
    Varadarajan, Ramesh
    IEEE ACCESS, 2024, 12 : 115465 - 115496
  • [47] Navigation control of an intelligent wheelchair using fuzzy logic
    Maeda, Mikio
    Nakayama, Yasushi
    Murakami, Shuta
    International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, 1999, 7 (04): : 327 - 336
  • [48] Navigation control of an intelligent wheelchair using fuzzy logic
    Maeda, M
    Nakayama, Y
    Murakami, S
    INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS, 1999, 7 (04) : 327 - 336
  • [49] Intelligent optimization of grinding processes using fuzzy logic
    Vishnupad, P
    Shin, YC
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, 1998, 212 (08) : 647 - 660
  • [50] Intelligent Classification using Adaptive Fuzzy Logic Systems
    Kodogiannis, Vassilis S.
    Petrounias, Ilias
    Lygouras, John N.
    2008 4TH INTERNATIONAL IEEE CONFERENCE INTELLIGENT SYSTEMS, VOLS 1 AND 2, 2008, : 378 - +