Title: Implementation of Smart car parking in Sunshine Coast Council
The new innovative ideas are gathered and implemented for the preparation of the smart car parking system. The organization have the requirement of development of the car parking solution for the peoples that would be combined with a smart application and display the free parking space available and the routes of the nearest parking location is also required to be shown on the application. The car parking is required to be extended to Maroochydore and for all the building location of Sunshine Coast Council.
The project report is prepared for the development of the solution with the implementation of IoT and the existing framework of the organization is required to be analyzed for the preparation of the project report.
The infrastructure of the car parking solution is prepared with the implementation of the LAN, wireless technology and the IoT sensors for increasing the efficiency of the parking system. The two solution prepared using different technology are as follows:
Different IoT hardware devices such as auridino board, raspberry Pi are used for increasing the efficiency of the existing parking solution. The IoT devices are connected with a microcontroller board for controlling the devices centrally and perform different operation of the car parking system. The database is designed and the operating system used is the windows Server R2 for storing the data generated from the IoT devices (Geng and Cassandras 2013). The IoT devices are required to be installed in such location that is can communicate with each other and the status of the parking lot can be fetched from them. The different components that are required to be included in the solution are listed below:
Figure 1: System architecture for the proposed car parking for Sunshine Coast Council
(Source: Created by author)
The central server is connected with the application developed by the Sunshine Coast for generation of data and showing the free space available for the user in the parking lot. Moreover the security of the parking lot increase with the use of the IoT devices and it helps to manage the parking lot efficiently.
For the preparation of the second solution different wireless technologies available are analyzed and the main focus of the solution is given on the car parking system. A distributed system is used for controlling the IoT devices installed in the car parking system and most of the IoT devices are connected in a serial connection for directly communicating with each other. A good network backbone is required to be implemented for increasing the operation efficiency and increasing the transmission speed of the network. The IoT devcices are connected with each other and this decreases the risk of failure of the system and main controlling point of the system are the entry and the exit barrier (Ji et al. 2014). All the IoT devices are connected with the barrier and thus it increases the response time of the system. For the second solution the cloud storage option is chosen for storing the data generated from the IoT devices. A gateway is configured for the storage of the data and the network is required to be protected by a network firewall for securing the data and protect the network from external intruder (Kuran et al. 2015). A wireless network connection is used for connecting the IoT devices and the sensors are placed in the location with strong network coverage signal such that the transmission speed of the data never gets down and it is available all the time.
The centralized and the decentralized solution are compared and contrasted with each other and it is found that the centralized system is easy to maintain and configure but the security is compromised. The security of the system increases with the implementation of the decentralized system but is becomes complex to maintain the network. One of the advantage of choosing the decentralized system is that if a channel or the IoT sensor fails it does not affects the whole system and it can be replaced easily. But it requires more maintenance than the centralized system (Zheng et al. 2015). The point of failure of the centralized system is the central server and if the central server fails the whole server collapses and it becomes a risk for the car parking solution. With the help of the decentralized system the cost of the network is reduced and small server can be placed at different location for the management of the system and operate according to the requirement of the organization.
The existing technology that are available and can be used for increasing the development speed of the project is OpenIoT, WaveIoT and LoraWan.
WAVIOT: It is used for establishment of the wireless connection and connecting them in the system. The selection of the WaveIoT eliminates the need of cabling and thus reduces the cost of the network (Mainetti et al. 2014). The IoT devices are required to be connected with a constant source of power and a user friendly interface is required to be created for the management of the devices and the devices are required to be tested such that the connection never gets terminated and all the devices are connected with the wireless network.
OpenIot: In this technology different plane are used for interconnecting the devices. It is an open source platform that interconnects the security, cloud service and utility based model for the development of the system (Suryady et al. 2014). It is a ready to use software platform that can improve the development speed if adopted in the current framework of the organization.
It is expected that the user of the Sunshine coast parking system would increase and the second solution would be more appropriate for meeting the business requirement of the organization. From the above technology the OpenIoT can be implemented for rapid development of the solution and storing the data in the cloud server. The Extra hardware cost is eliminated by choosing the cloud solution and the interface is designed for managing the IoT devices connected with the system from remote site.
A large volume of data is generated by the IoT sensors and the device sand it is required to be stored securely for management of the system. A solution is chosen with the combination of cloud service and a local data center for storing the large volume of data. The data stored in the server are used for generation of monthly report and finding the errors generated from the device. The error logs are used during the maintenance and increasing the efficiency of the system.
Data center: The data center are the mai9n component and it is required to be installed locally for storing the less used data and the achieve files used for the preparation of the report (Patil and Bhonge 2013). The data center is required to be encrypted and protected from external access. A firewall is required to be configured for the management and providing access to the authorized personnel.
Cloud Computing: A cloud service provider is required to be selected for the storage of data in the cloud servers. The data that are required to be accessed from remote location are stores in the cloud servers and access of the data from remote location (Mehta et al. 2016). The implementation of the cloud server reduces the maintenance cost of the existing system and increases the efficiency of the car parking solution.
Distributed Storage: It is useful in putting away tremendous measure of information and different sorts of information inside the database stockpiles. Daylight Coast Council will be profited with the assistance of conveyed stockpiling applications inside their association as shrewd auto stopping applications incorporates different information inside the framework design of the association (Polycarpou Lambrinos and Protopapadakis 2013). There are servers inside a savvy auto stopping framework that ought to get compelling supply of information required in this application. Disseminated stockpiles offers information in like manner with the requests of the application server and in addition different servers required into the shrewd auto stopping framework.
Data Processing: The data residing in the database of the organization is required to be processed and the stored in files for increase the accessibility of the system. Sunshine Coast Council needs simple get to and operations on the databases keeping in mind the end goal to keep up powerful working framework inside the brilliant auto stopping framework (Suryady et al. 2014). What’s more, information handling is a standout amongst the best ways that offers the applications in view of the information, for example, information recovery, information exchanges, database administration and so on. These operations are effectively performed with the assistance of information handling choice inside the keen stopping framework.
Conclusion
This can be inferred that the savvy auto stopping applications are critical for overseeing stopping operations. Interestingly with this viewpoint, Sunshine Coast Council needs to execute shrewd auto stopping framework design inside their authoritative structure that offers them compelling arrangements in overseeing different auto stopping operations naturally. Moreover, this report is expounding the noteworthy measures vital for actualizing the savvy stopping application inside the association. Arrange foundation, advancements and additionally information stockpiles alternatives are explained in this report. Conversely with these perspectives, the cost structure imperative for dealing with these brilliant stopping applications are additionally explained in this report. These cost estimation structure will be useful in assessing the genuine spending plan for actualizing the savvy auto stopping application inside Sunshine Coast Council.
References
Bonde, D.J., Shende, R.S., Kedari, A.S., Gaikwad, K.S. and Bhokre, A.U., 2014, January. Automated car parking system commanded by Android application. In Computer Communication and Informatics (ICCCI), 2014 International Conference on (pp. 1-4). IEEE.
Geng, Y. and Cassandras, C.G., 2013. New “smart parking” system based on resource allocation and reservations. IEEE Transactions on Intelligent Transportation Systems, 14(3), pp.1129-1139.
Ji, Z., Ganchev, I., O’Droma, M. and Zhang, X., 2014, August. A cloud-based intelligent car parking services for smart cities. In General Assembly and Scientific Symposium (URSI GASS), 2014 XXXIth URSI (pp. 1-4). IEEE.
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Kuran, M.?., Viana, A.C., Iannone, L., Kofman, D., Mermoud, G. and Vasseur, J.P., 2015. A smart parking lot management system for scheduling the recharging of electric vehicles. IEEE Transactions on Smart Grid, 6(6), pp.2942-2953.
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Mehta, R., Srinivasan, D., Khambadkone, A.M., Yang, J. and Trivedi, A., 2016. Smart Charging Strategies for Optimal Integration of Plug-in Electric Vehicles within Existing Distribution System Infrastructure. IEEE Transactions on Smart Grid.
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