Abstract
While the RNN is well studied in the traditional wired, disk-based client-server environment, it has not been tackled in a wireless broadcasting environment. The liner property of wireless broadcast media and power conserving requirement of mobile devices make the problem particularly interesting and challenging. In this paper, the issues involved with organizing location dependent data and answering RNN queries on air are investigated. An efficient data organization, called Jump Rdnn-tree, and the corresponding search algorithms are proposed. Performance of the proposed Jump Rdnn-tree and other traditional indexes (enhanced for wireless broadcast) is evaluated using both uniform and skew data. The results show that Jump Rdnn-tree substantially outperforms the traditional indexes.
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.
