Document Type : Research Article


1 Musilamh Alansari st

2 Department of Computer Networks, Informatics Research Institute, the City of Scientific Research and Technological Applications, SRTA-CITY, Egypt.

3 College of Computer and Information Sciences, Department of Computer Engineering, King Saud University. Riyadh, Saudi Arabia

4 Department of Computer Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia.


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.


[1] Mauro Conti, Ali Dehghantanha, Katrin Franke, and Steve Watson. Internet of things security and forensics: Challenges and opportunities, 2018.
[2] Yuchen Yang, Longfei Wu, Guisheng Yin, Lijie Li, and Hongbin Zhao. A survey on security and privacy issues in internet-of-things. IEEE Internet of Things Journal, 4(5):1250–1258, 2017.
[3] Musa Ndiaye, Gerhard P Hancke, and Adnan M Abu-Mahfouz. Software defined networking for improved wireless sensor network management: A survey. Sensors, 17(5):1031, 2017.
[4] Ahmed Boubrima, Walid Bechkit, and Herv´e Rivano. Optimal wsn deployment models for air pollution monitoring. IEEE Transactions on Wireless Communications, 16(5):2723–2735, 2017.
[5] Zawar Shah, Ashutosh A Kolhe, and Omer Mohsin Mubarak. Ieee 802.11 ac vs ieee 802.11 n: Throughput comparison in multiple indoor environments. International Journal of Computer Science and Information Security, 14 (4):94, 2016.
[6] Simin Long and Feng Miao. Research on zigbee wireless communication technology and its application. In 2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), volume 1, pages 1830–1834. IEEE, 2019.
[7] P Manohara Rao, Y Chalapathi Rao, and M Ashok Kumar. Performance analysis of zigbee wireless sensor networks using riverbed simulation modeler. In 2018 2nd International Conference on Inventive Systems and Control (ICISC), pages 1272–1277. IEEE, 2018.
[8] Varun P Sarvade and SA Kulkarni. Performance analysis of ieee 802.11 ac for vehicular networks using realistic traffic scenarios. In 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI), pages 137–141. IEEE, 2017.
[9] Kok Seng Ting, Gee Keng Ee, Chee Kyun Ng, Nor Kamariah Noordin, and Borhanuddin Mohd Ali. The performance evaluation of ieee 802.11 against ieee 802.15. 4 with low transmission power. In The 17th Asia Pacific Conference on Communications, pages 850–855. IEEE, 2011.
[10] I Gede Susrama Mas Diayasa, Ni Luh Wiwik Sri RG, Slamet Winardi, Ariyono Setiawan, M Sri Wiwoho, Benediktur Anindito, and Tri Andjarwati. Progressive parking smart system in surabayas open area based on iot. In Journal of Physics: Conference Series, volume 1569, page 022043. IOP Publishing, 2020.
[11] Ilhan Aydin, Mehmet Karakose, and Ebru Karakose. A navigation and reservation based smart parking platform using genetic optimization for smart cities. In 2017 5th International Istanbul Smart Grid and Cities Congress and Fair (ICSG), pages 120–124. IEEE, 2017.
[12] A. Rochim and R. Sari. Performance comparison of ieee802.11n and 802.11ac. pages 54–59. IEEE, 2016.
[13] S Nitin Pandit, Rohit Mohan Krishna GVL, R Akash, and Minal Moharir. Cloud based smart parking system for smart cities. In 2019 International Conference on Smart Systems and Inventive Technology (ICSSIT), pages 354–359. IEEE, 2019.
[14] S Sunmathi, M Sandhya, M Sumitha, and A Kirthika. Smart car parking using image processing. In 2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS), pages 485–487. IEEE, 2019.
[15] Ajay Zajam and Surekha Dholay. Detecting efficient parking space using smart parking. In 2018 9th International Conference on Computing, Communication and Networking Technologies (ICCCNT), pages 1–7. IEEE, 2018.
[16] Rachapol Lookmuang, Krit Nambut, and Sasiporn Usanavasin. Smart parking using iot technology. In 2018 5th International Conference on Business and Industrial research (ICBIR), pages 1–6. IEEE, 2018.
[17] Behrouz A Forouzan, Catherine COOMBS, and Sophia Chung FEGAN. Data communications and networking. Language, 32(908):23cm, 1998.
[18] James F Kurose. Computer networking: A topdown approach featuring the internet, 3/E. Pearson Education India, 2005.
[19] Larry L Peterson and Bruce S Davie. Computer networks: a systems approach. Elsevier, 2007.