@article{(Open Science Index):https://publications.waset.org/pdf/10013213,
	  title     = {SPA-VNDN: Enhanced Smart Parking Application by Vehicular Named Data Networking},
	  author    = {Bassma Aldahlan and  Zongming Fei},
	  country	= {},
	  institution	= {},
	  abstract     = {Recently, there is a great interest in smart parking application. Theses applications are enhanced by a vehicular ad-hoc network, which helps drivers find and reserve satiable packing spaces for a period of time ahead of time. Named Data Networking (NDN) is a future Internet architecture that benefits vehicular ad-hoc networks because of its clean-slate design and pure communication model. In this paper, we proposed an NDN-based frame-work for smart parking that involved a fog computing architecture. The proposed application had two main directions: First, we allowed drivers to query the number of parking spaces in a particular parking lot. Second, we introduced a technique that enabled drivers to make intelligent reservations before their arrival time. We also introduced a “push-based” model supporting the NDN-based framework for smart parking applications. To evaluate the proposed solution’s performance, we analyzed the function for finding parking lots with available parking spaces and the function for reserving a parking space. Our system showed high performance results in terms of response time and push overhead. The proposed reservation application performed better than the baseline approach.},
	    journal   = {International Journal of Electronics and Communication Engineering},
	  volume    = {17},
	  number    = {8},
	  year      = {2023},
	  pages     = {195 - 204},
	  ee        = {https://publications.waset.org/pdf/10013213},
	  url   	= {https://publications.waset.org/vol/200},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 200, 2023},
	}