alexa Abstract | State-of-the ART Location Recognization Development Over Smartphones by Integrating Cloud Based LBS’s
ISSN ONLINE(2320-9801) PRINT (2320-9798)

International Journal of Innovative Research in Computer and Communication Engineering
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article Open Access


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.

To read the full article Peer-reviewed Article PDF image | Peer-reviewed Full Article image

Author(s): Kiran V S, Savitha Sthawarmath

Share This Page

Additional Info

Loading Please wait..
Peer Reviewed Journals
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version