A Deep Learning-Based Model for Link Quality Estimation in Vehicular Networks

Abstract

The evolution of wireless networks towards high mobility has led to the concept of connecting vehicles. Wireless link quality is a vital attribute of a dynamic vehicular environment and a backbone for successful communication among vehicles. The vehicles are expected to be equipped with a number of sensors and measurement devices, making a lot of data available for research. To solve the challenges in the context of the connectivity of vehicles, data-driven approaches are recently applied to estimate the dynamic attributes of vehicular networks. In this paper, a deep learning model based on an artificial neural network technique is proposed to predict wireless link quality in vehicular networks. The proposed algorithm uses the essential features, including the current location of a vehicle, to estimate the quality of a wireless link.

KEYWORDS:

• Deep learning
• Intelligent transportation systems
• Link quality
• Neural networks
• Signal strength
• Vehicular networks

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Sudesh Pahal

Sudesh Pahal, received BE degree in electronics and communication engineering in 2005, ME degree in 2008 and PhD in 2014. She has 10+ years of professional experience in teaching and currently, working as an associate professor in Electronics and Communication Engineering Department at Maharaja Surajmal Institute of Technology, Delhi (affiliated to IP University), India. Her research interest includes mobile communications and wireless networks with an emphasis on quality of service and mobility management for future generation of networks. She has published more than 30 research papers in international journals and conferences. Email: [email protected]

Neeru Rathee

Neeru Rathee has done her PhD on facial expression analysis from GGSIPU and MTech from DU. She is currently working with Maharaja Surajmal Institute of Technology, New Delhi. Her research area includes image processing, computer vision and artificial intelligence. She is also working on DST project for ‘Automatic Pain intensity Detection from facial expression analysis’. She is heading Entrepreneurship Cell, and Incubation Cell. She is an active member of Institution Research Committee and Innovation Cell. She is also serving as editor-in-chief of institution's annual journal.

Brahmjit Singh

Brahmjit Singh, professor & head, Center of Computing and Networking National Institute of Technology, Kurukshetra, received his PhD in 2005 from GGS Indraprastha University, Delhi, ME from Indian Institute of Technology, Roorkee and BE from Malaviya National Institute of Technology, Jaipur. His areas of current research interest include mobility management in heterogeneous wireless mobile networks, security aspects in wireless networks, cognitive radio networks and wireless sensor networks. He has published more than 100 research papers in international journals and conferences. Email: [email protected]