Abstrato

State-of-the ART Location Recognization Development Over Smartphones by Integrating Cloud Based LBS?s

Kiran V S, Savitha Sthawarmath

This paper proposes a novel way of providing location based-service for check-in application situated to be implemented within smart-phones integrated with the cloud platform and representing a service for cloud end users. The performance of which is independent of employed device, uses a Global positioning system (GPS) and Wi-Fi- Access points in a opportunistic way by considering the scenario of finding the user location. For indoor scenario Wi- Fi Access points are helps in finding the user location by reading the Received Signal Strength (RSS). This is employed where traditional approaches, usually GPS/HPS fails, and aimed to find a user location with room-level resolution. For example Employee check-in in office. While doing this process the cloud will be used as computational resource for collected data from smartphone and the results of it will be stores in the cloud itself, and it made available for the enduser through web application. For outdoor scenario GPS is used for finding location and Google Cloud Messaging Service is used for providing the Messaging service. These information is provided to end-user via web application. The Proposal is, practically implemented over android operating system-based smart-phones along with Cloud Computing Services like Google App Engine and Google Cloud Messaging (GCM) Service. Experimental Results have shown location recognization accuracy of about 90%, opening the door to use as location-based Service.