Abstract
AbstractIn mobile computing, a huge number of users expect various data services based on their location. Wireless data broadcast is suitable for meeting requests from lots of users owing to its scalability. Air indexing techniques have been developed for energy efficient query processing of mobile clients in the wireless data broadcast. Especially for spatial queries related to the user’s location, the index based on Hilbert Curve is proposed. However, the index makes clients listen to a lot of data objects in order to process range queries. In this paper, we describe indexing technique for spatial range queries. And we propose the distributed air index based on space partition. For the performance evaluation, it is implemented using a discrete event-driven simulation package, SimJava. A Simulation is conducted with the real dataset that contains 5922 cities of Greece. The results show that the proposed index outperforms the index based on the Hilbert Curve in the energy efficiency and query processing time significantly.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
