Latency-Energy Tradeoff in Connected Autonomous Vehicles: A Deep Reinforcement Learning Scheme-Reference-Cited by-同舟云学术

Latency-Energy Tradeoff in Connected Autonomous Vehicles: A Deep Reinforcement Learning Scheme

Author:

Budhiraja Ishan¹^ORCID,Kumar Neeraj²^ORCID,Sharma Himanshu³,Elhoseny Mohamed⁴,Lakys Yahya⁵^ORCID,Rodrigues Joel J. P. C.⁶^ORCID

Affiliation:

1. School of Computer Science Engineering and Technology, Bennett University, Greater Noida, Uttar Pradesh, India

2. Department of Computer Science and Engineering, Thapar Institute of Engineering and Technology, Deemed to be University, Patiala, Punjab, India

3. Computer Science and Engineering Department, Thapar Institute of Engineering and Technology, Deemed to be University, Patiala, Punjab, India

4. College of Computing and Informatics, University of Sharjah, Sharjah, United Arab Emirates

5. College of Engineering and Technology, American University of the Middle East, Egaila, Kuwait

6. College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China

Funder

FCT/MCTES through the national funds and when applicable co-funded EU funds

Brazilian National Council for Scientific and Technological Development -CNPq

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

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