An effective communication framework for data management using query caching in Mobile Location based Services (LBS)

Technology has transformed the mobile phone as a big medium for communication and offered a pool of services to the subscriber. Among those services, Location Based Services (LBS) is prominent to get services based on current geographic location. The services include right from information to entertainment and the services offered by LBS are highly dynamic because its access pattern is different from one location to another location. It directly deals with positioning the location and providing the information. Since it deals with dynamic and real time, conventional data handling techniques may not suitable and there are several issues like increased communication cost, increased query processing time, in-ability of accurate positioning needs to be addressed to utilize the full benefit of LBS. Hence this research work focuses on providing solution for data management issues. Based on classification of applications and categorization of services in LBS, a communication framework (ComFrame) with several layers is proposed. The framework applies a data management technique called q-caching to store user's frequent queries in Cache Manager (Local Manager), and this approach has been implemented in both on client and server side with Android API and Java Remote Method Invocation (RMI) services. The proposed scheme results in reduced communication cost, query handling time and data volume by applying Cost Benefit Analysis techniques. In summary, dynamic data management principles enhances Mobile Location based Services. This framework can further be enhanced to Governance and Business sectors for effective utilization of mobile data management in future.