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An Intelligent Approach for Tracking and Monitoring Objects in a Departmental Store Using PSO
Abstract
The present chapter proposes a departmental store automation system based on Radio Frequency Identification (RFID) technology and Particle Swarm Optimization (PSO) algorithm. The items in the departmental store spanned over different sections and in multiple floors. Items are tagged with passive RFID tags. Each tag contains unique identification number for the item. The entire floor is divided into number of zones depending on different types of item that are placed in their respective racks. Each of the zones is placed with one RFID reader, which constantly monitors the items in their zone and periodically sends that information to the application. The problem of systematic and periodic monitoring of the store is addressed in this application so that the locations, distributions and demands of every item in the store can be invigilated with intelligence. The proposed application is successfully demonstrated on a simulated case study.
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