Shopping system based on location finding technique of internet of things

Abstract

IOT (Internet of Things) has received some recent attention in information technology research. One reason is that IOT provides a platform that can improve the economic effectiveness and save cost. The other reason is that IOT provides technical support for the development of global economy. This paper describes an application of IOT in Shopping System, the Shopping System that would give the shoppers some services based on the position search. The Shopping System uses the location algorithm to get the shoppers' position in the indoor environment and is able to produce the shortest route from the shoppers to the merchandise based on AStar Algorithm, with a minimal amount of market map information. In the end, the limitations of the application are also discussed, together with possible directions for extending our future work toward better Shopping System. © 2012 Springer-Verlag.