Implementation of the Iparking System-Free-Samples for Students

Question: Discuss about the Development of Information Technology in Intelligent Parking. Answer: Introduction The application that is taken in this literature review is intelligent parking system. The parking system is made with the emerging intelligent sensors, which helps to make the system more efficient. The parking problem has increased in all the places where people need to park their cars, and the parking in now a days has become a nuisance. According to Chen et al. (2016) parking management is considered as a crucial task because of the increasing number of vehicles and less amount of parking space. In this literature review, four papers are analyzed which gives a detailed study of the Intelligent parking system. Key Concepts In one of the paper, the parking system that is described uses the magnetic sensor. The cost of magnetic sensors is less compared to other sensors. The size of the magnetic sensors is also much less than other sensors. In another paper, the system has four components including the sensor nodes, user interface, router and a server (Zheng et al. 2015). There are many detection method as well that are elaborated in the paper. To implement the iParking system, authors uses 3-axis digital compass IC HMC5883L that is low in cost and gives the accurate reading. Comparison The three papers describes different types of implementation of the iParking system. In one of the article taken, there are different types of layer known as detection layer, access layer, convergence layer an after passing through all those layers, the data is passed to the database. The network type can be of two types, public network and cable network. In one of the article chosen for study, use case diagram and class diagram that illustrates the details of the parking system. The methods that are described are very accurate and cost effective (Thai-Nghe and Chi-Ngon 2014). In an article, different types of algorithms are defined to spot the parking that are mostly based on ATDA algorithm (Adaptive Threshold Detection Algorithm). The cloud service and the IoT services are also used by the automatic parking system for storing the data and devices that are used (Dhar and Gupta 2016). The fourth paper designs a parking system which is based on the principle of MQTT communication prot ocol. Conclusion From the above analysis, it can be stated that the system of automatic parking or iParking has changed the process of conventional parking. The accuracy of the models that are described in the papers is about 95.88 % to about 99 %. In future, to make the system much more better, the accuracy of the systems can be increased and also the systems can be made fully automatic References Chen, N., Wang, L., Jia, L., Dong, H. and Li, H., 2016. Parking Survey Made Efficient in Intelligent Parking Systems.Procedia engineering,137, pp.487-495. Dhar, P. and Gupta, P., 2016, September. Intelligent parking Cloud services based on IoT using MQTT protocol. InAutomatic Control and Dynamic Optimization Techniques (ICACDOT), International Conference on(pp. 30-34). IEEE. Thai-Nghe, N. and Chi-Ngon, N., 2014, December. An approach for building an intelligent parking support system. InProceedings of the Fifth Symposium on Information and Communication Technology(pp. 192-201). ACM. Zheng, D., Zhang, X., Shu, Y., Fang, C., Cheng, P. and Chen, J., 2015, April. iParking: An intelligent parking system for large parking lots. InComputer Communications Workshops (INFOCOM WKSHPS), 2015 IEEE Conference on(pp. 37-38). IEEE.