A mathematical analysis of teleoperator optimization using multiple sensors

Kumar, Arun; Chakravarty, Sumit; Sharma, Mohit Kumar; Nanthaamornphong, Aziz

doi:10.47974/JIM-1810

Open Access Research Article

A mathematical analysis of teleoperator optimization using multiple sensors

Arun Kumardr.arunk.nhce@newhorizonindia.eduDepartment of Electronics and Communication EngineeringNew Horizon College of EngineeringBengaluru, Karnataka, IndiaView full profile → , Sumit Chakravartyschakra2@kennesaw.eduDepartment of Electrical EngineeringKennesaw State UniversityKennesaw, Georgia, United StatesView full profile → , Mohit Kumar Sharmakrsharma.mohit@gmail.comDepartment of Electronics and Communication EngineeringVivekananda Global UniversityJaipur, Rajasthan, IndiaView full profile → , ^*Aziz NanthaamornphongCorresponding authoraziz.n@phuket.psu.ac.thCollege of ComputingPrince of Songkla UniversityPhuket, ThailandView full profile →

* Corresponding author · click or hover a name for details

pp. 201–209Vol. 27Issue 2March 2024DOI: 10.47974/JIM-1810XML

Published Online:: 19 Mar 2024
Article type:: Research Article
Language:: EN
Article no.:: JIM-1810
Pages:: 201–209

Abstract

As the role of remote vehicle operation gains prominence, ensuring robust wireless communication systems is crucial. Prior studies have delved into various aspects of vehicle teleoperation, including its legal framework and workforce implications. Some have even formulated models to estimate the number of remote operators for large automated vehicle fleets. These models suggest that automated vehicles overseen by remote operators could supplant a significant portion of current driving jobs in the United States. Such findings underscore the need for governmental review and policy adjustment to better accommodate the burgeoning field of teleoperation, which could substantially accelerate the advancement of vehicle automation. The present study focuses on evaluating the reliability of a bi-directional communication channel based on key variable parameters. This assessment aids in determining the optimal parameter settings, thereby enhancing the effectiveness of teleoperation systems.

Keywords

Spectrum sensing 5G security Energy detection Cognitive radio

Subject Classifications

94A05

References

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