Title :
Efficient, Energy Conserving Transaction Processing in Wireless Data Broadcast
Author :
Lee, SangKeun ; Hwang, Chong-Sun ; Kitsuregawa, Masaru
Author_Institution :
Coll. of Inf. & Commun., Korea Univ., Seoul
Abstract :
Broadcasting in wireless mobile computing environments is an effective technique to disseminate information to a massive number of clients equipped with powerful, battery operated devices. To conserve the usage of energy, which is a scarce resource, the information to be broadcast must be organized so that the client can selectively tune in at the desired portion of the broadcast. In this paper, the efficient, energy conserving transaction processing in mobile broadcast environments is examined with widely accepted approaches to indexed data organizations suited for a single item retrieval. The basic idea is to share the index information on multiple data items based on the predeclaration technique. The analytical and simulation studies have been performed to evaluate the effectiveness of our methodology, showing that predeclaration-based transaction processing with selective tuning ability can provide a significant performance improvement of battery life, while retaining a low access time. Tolerance to access failures during transaction processing is also described
Keywords :
broadcasting; data structures; database indexing; energy conservation; information dissemination; mobile computing; query processing; transaction processing; energy conserving transaction processing; indexed data organization; information dissemination; mobile broadcast environment; predeclaration-based transaction processing; selective tuning ability; single item retrieval; wireless data broadcast; wireless mobile computing environment; Bandwidth; Batteries; Broadcasting; Computational modeling; Energy efficiency; Indexing; Information retrieval; Mobile computing; Performance analysis; Personal digital assistants; Mobile computing; access methods; indexing methods; performance evaluation.; wireless data broadcast;
Journal_Title :
Knowledge and Data Engineering, IEEE Transactions on
DOI :
10.1109/TKDE.2006.142