Abstract
RFID technology is used by various applications to implement smart processing of data. In the parking sys- tem, RFID together with wireless sensors are used for identi- fying cars entering a parking area and monitoring of parking slots. However, there is no means to identify the car parked in a specific slot. This paper proposes a location technique in WSN-based parking management system using radio signal patterns from WSN for a cost-effective method in identi- fying the car parked in a slot. The proposed pattern rec- ognizer agent (PRA) uses a multilayer perceptron (MLP) to classify the patterns from radio signal strength (RSS) of wireless sensors by associating the signals in a specific park- ing slot. The implementations provide a training model for RSS patterns and uses classification method in the locating technique. The experiment showed a comparison of the pro- posed method to other classification algorithms and found that MLP is more accurate classifier and time-efficient in building the classification model.
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