2018
DOI: 10.1109/access.2018.2880972
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Towards Smart Parking Based on Fog Computing

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Cited by 87 publications
(41 citation statements)
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“…For the user side, the system helps to reduce the fuel consumed for commuting from the current location to the parking slot. The work reported in [38] defined functions which affect the cost of a parking: driving, waiting, parking and walking. The optimization problem is solved using the greedy parking slot allocation algorithm.…”
Section: Dynamic Pricingmentioning
confidence: 99%
“…For the user side, the system helps to reduce the fuel consumed for commuting from the current location to the parking slot. The work reported in [38] defined functions which affect the cost of a parking: driving, waiting, parking and walking. The optimization problem is solved using the greedy parking slot allocation algorithm.…”
Section: Dynamic Pricingmentioning
confidence: 99%
“…It was also seen that usage of fog computing too offers advantage to vehicular cloud network. One such usage can be found in the work of Tang et al [28] where fog computing is used for smart parking system using experimental approach over vehicular network.…”
Section: Integration Cloud With Vehicular Networkmentioning
confidence: 99%
“…Neeru Mago, Dr Satish Kumar [1] presents an intelligent model for detecting outdoor parking using machine learning algorithms like Artificial Neural network in order to find the vacant or occupied parking slots in the outdoor parking areas. C. Tang et.al [2] proposes a fog computing-based smart parking architecture in which Fog nodes are deployed at parking lots. They interact with each other in real time and provide real-time parking slot information.…”
Section: Literature Reviewmentioning
confidence: 99%