1 / 1

MOBI-DIC: MOBIle DIscovery of loCal resources

A. A. A. A. resource-query D resource 8. D. resource-query C resource 6 resource 7. resource-query A resource 1 resource 2 resource 3. resource-query B resource 4 resource 5. C. C. C. C. B. MOBI-DIC: MOBIle DIscovery of loCal resources.

uta-winters
Download Presentation

MOBI-DIC: MOBIle DIscovery of loCal resources

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. A A A A resource-query D resource 8 D resource-query C resource 6 resource 7 resource-query A resource 1 resource 2 resource 3 resource-query B resource 4 resource 5 C C C C B MOBI-DIC: MOBIleDIscovery of loCal resources Investigators: OuriWolfson and Bo Xu, Computer Science Dept. Prime Grant Support: NSF • Currently, while on the move, people cannot efficiently search for local resources, particularly if the resources have a short life, e.g. an available parking slot, or an available workstation in a large convention hall. • Applications in matchmaking and resource discovery in many domains, including • social networks • transportation and emergency response • mobile electronic commerce. • Use Database and Publish/Subscribe technology to specify profiles of interest and resource information • Peer-to-Peer information exchange among mobile devices such as cell phones and pda’s, that form ad hoc network • Exchange uses short-range, unlicensed wireless communication spectrum including 802.11 and Bluetooth. • Exchanged information is prioritized according to a spatial-temporal relevance function to reduce bandwidth consumption and cope with unreliable wireless connections. • Adaptive push/pull of resource information • Developed and analyzed search algorithms for different mobility environments and communication technologies. • Designed a comprehensive simulation system that enables selection of a search algorithm. • Built a prototype system • Published 6 papers, received $250k in NSF support, delivered two keynote addresses on the subject. • Submitted provisional patent application • Future goals: design complete local search system, combine with cellular communication to central server, test technology in real environment, transfer to industry.

More Related