City centers have been, are, and will be the focus of people’s attention. One of the current problems of this focus is parking slot scarcity. The aim of this study is to ease the
management of scarce parking resources by efficiently detecting and reporting empty slots. The presented design includes best practices during data collection through low-cost IoT devices, which include a single bit light sensor to detect the availability of parking slots, as well as efficient routing over IoT devices by data aggregation. The simulation results indicate that the proposed architecture led to a trade-off between network delay versus
energy consumption as well as network delay versus unit cost. Therefore, the proposed architecture lets an investor parameterize the costs and efficiency prior to deployment.
Keywords—IoT; Parking lot; Data aggregation; Contiki OS; Network Optimization; Smart City
Software And Hardware
• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB Raspberry pi/arduino,other hardware components (please call) • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL