Modeling A Cloud-Based Smart Parking Wlan Networks Using Ieee802.11ac Technology

Due to the increasing number of cars and the difficulty to find vacant parking spots easily, the smart parking system is essential to save time and efforts of drivers and to protect the environment from emissions and air pollution. wireless sensor networks used in smart parking systems consists of a number of sensors to monitor the events or changes and send the data, cluster head to manage the linked sensors, and base stations to manipulate and forward the data to the end system. all of these devices are used together to monitor a specific area. this paper analyzes the performance of ieee802.11ac and compares with ieee802.15.4 and ieee802.11b using three different scenarios by measuring the average end to end delay and throughput with respect to the number of sensors (manually and automatically). this is done using thing speak cloud (an open iot platform with matlab 2019 analytics) in ieee 802.11ac and without a cloud setup in ieee802.15.4 and ieee802.11b. three scenarios are considered in this work. first, the sensors are distributed manually in all the standards. second, the sensors are distributed automatically in ieee802.11 ac and manually in ieee802.15.4 and ieee802.11b. third, the sensors are distributed automatically in ieee802.11ac along with the cloud. while the sensors are placed manually with grid placement without the cloud in ieee802.15.4 and ieee802.11b. finally, the results show that the ieee802.11ac gave better results than other standards and it is suitable for applications with very high throughput.