A Region-Based Collaborative Management Scheme for Dynamic Clustering in Green VANET

Author:

Liu Bingyi1ORCID,Fang Zhipeng1,Wang Wei2ORCID,Shao Xun3ORCID,Wei Wei4ORCID,Jia Dongyao5ORCID,Wang Enshu6,Xiong Shengwu1ORCID

Affiliation:

1. School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan, China

2. School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China

3. School of Engineering, Kitami Institute of Technology, Kitami, Japan

4. School of Computer Science and Engineering, Xi'an University of Technology, Xi’an, China

5. School of Civil Engineering, The University of Queensland, Brisbane, QLD, Australia

6. University at Buffalo, The State University of New York, Buffalo, NY, USA

Funder

National Natural Science Foundation of China

Open Project of Sanya Science and Education Innovation Park of Wuhan University of Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Renewable Energy, Sustainability and the Environment

Reference42 articles.

1. Shape and time distortion loss for training deep time series forecasting models;guen;Proc Conf Neural Inf Process Syst (NeurIPS),2019

2. Soft-DTW: A differentiable loss function for time-series;cuturi;Proc Int Conf Mach Learn (ICML),2017

3. MCA-V2I: A Multi-hop Clustering Approach over Vehicle-to-Internet communication for improving VANETs performances

4. A new mobility-based clustering algorithm for vehicular ad hoc networks (VANETs)

5. VANET Modeling and Clustering Design Under Practical Traffic, Channel and Mobility Conditions

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