Cloud and IoT based Smart Car Parking System by using Mamdani Fuzzy Inference System (MFIS)

Authors

1 Department of Computer Science, LGU, Lahore Pakistan

2 Department of Computer Science, National College of Business Administration & Economics, Lahore, Pakistan

3 Department of Computer Science, National College of Business Administration & Economics, Lahore, Pakistan

10.22042/isecure.2019.11.0.20

Abstract

Internet of Things (IoT) and cloud computing technologies have connected the infrastructure of the city to make the context-aware and more intelligent city for utility its major resources. These technologies have much potential to solve the
challenges of urban areas around the globe to facilitate the citizens. A framework model that enables the integration of sensor’s data and analysis of the data in the context of smart parking is proposed. These technologies use sensors and
devices deployed around the city parking areas sending real time data through the edge computers to the main cloud servers. Mobil-Apps are developed that used real time data, set from servers of the parking facilities in the city. Fuzzification is shown to be a capable mathematical approach for modeling city parking issues. To solve the city parking problems in cities a detailed analysis of fuzzy logic proposed systems is developed. This paper presents the results
achieved using Mamdani Fuzzy Inference System to model complex smart parking system. These results are verified using MATLAB simulation.

Keywords


[1] Feng Xia, Laurence T Yang, Lizhe Wang, and Alexey Vinel. Internet of things. International Journal of Communication Systems, 25(9):1101,2012.
[2] Mohamed Ali Feki, Fahim Kawsar, Mathieu Boussard, and Lieven Trappeniers. The internet of things: the next technological revolution.Computer, (2):24–25, 2013.
[3] Andrea Zanella, Nicola Bui, Angelo Castellani, Lorenzo Vangelista, and Michele Zorzi. Internet of things for smart cities. IEEE Internet of Things journal, 1(1):22–32, 2014.
[4] John A Stankovic. Research directions for the internet of things. IEEE Internet of Things Journal, 1(1):3–9, 2014.
[5] BB Prahlada Rao, Paval Saluia, Neetu Sharma, Ankit Mittal, and Shivay Veer Sharma. Cloud computing for internet of things & sensing based applications. In 2012 Sixth International Conference on Sensing Technology (ICST), pages 374–380. IEEE, 2012.
[6] Flavio Bonomi, Rodolfo Milito, Jiang Zhu, and  the internet of things. In Proceedings of the first edition of the MCC workshop on Mobile cloud computing, pages 13–16. ACM, 2012.

[7] Partha Pratim Ray. Creating values out of internet of things. Journal of Computer Networks and Communications, 2016:1, 2016.
[8] Stefan Walraven, Eddy Truyen, and Wouter Joosen. Comparing paas offerings in light of saas development. Computing, 96(8):669–724, 2014.
[9] Thiago AL Genez, Luiz F Bittencourt, and Edmundo RM Madeira. Workflow scheduling for saas/paas cloud providers considering two sla levels. In 2012 IEEE Network Operations and Management Symposium, pages 906–912. IEEE,2012.
[10] Anthony D JoSEP, RAnDy KAtz, AnDy Kon-WinSKi, LEE Gunho, DAViD PAttERSon, and ARiEL RABKin. A view of cloud computing. Communications of the ACM, 53(4), 2010.
[11] Flavio Bonomi, Rodolfo Milito, Jiang Zhu, and Sateesh Addepalli. Fog computing and its role in the internet of things. In Proceedings of the first edition of the MCC workshop on Mobile cloud computing, pages 13–16. ACM, 2012.
[12] Mohammad Aazam, Sherali Zeadally, and Khaled A Harras. Deploying fog computing in industrial internet of things and industry 4.0. IEEE Transactions on Industrial Informatics,14(10):4674–4682, 2018.
[13] Mung Chiang and Tao Zhang. Fog and iot: An overview of research opportunities. IEEE Internet of Things Journal, 3(6):854–864, 2016.
[14] Mung Chiang and Tao Zhang. Fog and iot: An overview of research opportunities. IEEE Internet of Things Journal, 3(6):854–864, 2016.
[15] Syed Hassan Ahmed and Shalli Rani. A hybrid approach, smart street use case and future aspects for internet of things in smart cities. Future Generation Computer Systems, 79:941–951,2018.
[16] Ray Y Zhong, Xun Xu, Eberhard Klotz, and Stephen T Newman. I ntelligent manufacturing in the context of industry 4.0: a review. Engineering,3(5):616–630, 2017.
[17] Jayavardhana Gubbi, Rajkumar Buyya, Slaven Marusic, and Marimuthu Palaniswami. Internet of things (iot): A vision, architectural elements, and future directions. Future generation computer systems, 29(7):1645–1660, 2013.
[18] Bhagya Nathali Silva, Murad Khan, and Kijun Han. Towards sustainable smart cities: A review of trends, architectures, components, and open challenges in smart cities. Sustainable Cities and Society, 38:697–713, 2018.
[19] Mohammad Aazam, Imran Khan, Aymen Abdullah Alsaffar, and Eui-Nam Huh. Cloud of things: Integrating internet of things and cloud computing and the issues involved. In Proceedings of 2014 11th International Bhurban Conference on
Applied Sciences & Technology (IBCAST) Islamabad, Pakistan, 14th-18th January, 2014, pages 414–419. IEEE, 2014.
[20] Flavio Bonomi, Rodolfo Milito, Jiang Zhu, and Sateesh Addepalli. Fog computing and its role in the internet of things. In Proceedings of the first edition of the MCC workshop on Mobile cloud computing, pages 13–16. ACM, 2012.
[21] Flavio Bonomi, Rodolfo Milito, Jiang Zhu, and Sateesh Addepalli. Fog computing and its role in the internet of things. In Proceedings of the first edition of the MCC workshop on Mobile cloud computing, pages 13–16. ACM, 2012.
[22] Weisong Shi, Jie Cao, Quan Zhang, Youhuizi Li, and Lanyu Xu. Edge computing: Vision and challenges. IEEE Internet of Things Journal,3(5):637–646, 2016.
[23] Jayavardhana Gubbi, Rajkumar Buyya, Slaven Marusic, and Marimuthu Palaniswami. Internet of things (iot): A vision, architectural elements, and future directions. Future generation computer systems, 29(7):1645–1660, 2013.
[24] Brandon P Wong and Branko Kerkez. Real-time environmental sensor data: An application to water quality using web services. Environmental Modelling & Software, 84:505–517, 2016.
[25] Subir Biswas, Raymond Tatchikou, and Francois Dion. Vehicle-to-vehicle wireless communication protocols for enhancing highway traffic safety. IEEE communications magazine, 44(1):74–82,2006.
[26] Y Raghavender Rao. Automatic smart parking system using internet of things (iot). Int J Eng Technol Sci Res, 4(5), 2017.
[27] M Mazhar Rathore, Awais Ahmad, Anand Paul, and Seungmin Rho. Urban planning and building smart cities based on the internet of things using big data analytics. Computer Networks, 101:63–80, 2016.
[28] Thanh Nam Pham, Ming-Fong Tsai, Duc Binh Nguyen, Chyi-Ren Dow, and Der-Jiunn Deng. A cloud-based smart-parking system based on internet-of-things technologies. IEEE Access, 3:1581–1591, 2015.
[29] Dipti Srinivasan, Min Chee Choy, and Ruey Long Cheu. Neural networks for real-time traffic signal control. IEEE Transactions on intelligent transportation systems, 7(3):261–272, 2006.
[30] M Mazhar Rathore, Awais Ahmad, Anand Paul, and Seungmin Rho. Urban planning and building smart cities based on the internet of things using big data analytics. Computer Networks, 101:63–80, 2016.

[31] Sylvain Kubler, Jérémy Robert, Ahmed Hefnawy, Chantal Cherifi, Abdelaziz Bouras, and Kary Främling. Iot-based smart parking system for sporting event management. In Proceedings of the 13th International Conference on Mobile and
Ubiquitous Systems: Computing, Networking and Services, pages 104–114. ACM, 2016.
[32] Vaibhav Hans, Parminder Singh Sethi, and Jatin Kinra. An approach to iot based car parking and reservation system on cloud. In 2015 International Conference on Green Computing and Internet of Things (ICGCIoT), pages 352–354.IEEE, 2015.
[33] Giancarlo Fortino and Paolo Trunfio. Internet of things based on smart objects: Technology, middleware and applications. Springer, 2014.
[34] Mark C Childs. Parking spaces: a design, implementation, and use manual for architects, planners, and engineers. 1999.
[35] Richard Bishop. Intelligent vehicle technology and trends. 2005.