Location Technique based on Pattern Recognition of Radio Signal Strength for Parking Management

RFID technology is used by various applications to implement smart processing of data. In the parking system, RFID together with wireless sensors are used for identifying 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 identifying the car parked in a slot. The proposed pattern recognizer 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 parking 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 proposed method to other classification algorithms and found that MLP is more accurate classifier and time-efficient in building the classification model.