IoT-Based Smart Parking: Comparative Analysis of Scheduling Approaches

doi:10.23940/ijpe.26.01.p6.5056

Abstract

Abstract: The exponential increase in the number of cars has made parking a major problem. Parking availability leads to traffic jams and time wasting. This study connects two related fields: IoT-based smart parking systems and operating system process scheduling. Using computer simulations, the first section examines the effectiveness of the Round Robin (RR) and First Come First Serve (FCFS) scheduling algorithms by examining important performance indicators such CPU usage, throughput, turnaround time, and response time. The rising need for intelligent parking solutions in urban settings, where conventional methods cause traffic jams and inefficiencies, is covered in the work. An IoT-enabled smart parking system that uses Arduino, PIR sensors, and stepper motors to automate gate operations, minimize manual intervention, and enhance user experience is suggested as a solution to these problems. System designers may learn a lot from the simulation and hardware-based results, which show the advantages and disadvantages of both scheduling strategies. By combining sophisticated scheduling algorithms with IoT automation, this work advances computational and real-world applications while improving operational efficiency, performance, and decision-making.

Key words: IoT, turnaround time, parking system, scheduling algorithms, vehicles

Bhupendra Ram, Suraj Malik, and Nidhi Bansal. IoT-Based Smart Parking: Comparative Analysis of Scheduling Approaches [J]. Int J Performability Eng, 2026, 22(1): 50-56.

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