By Alon Y. Halevy, Michael J. Franklin, David Maier (auth.), Mong Li Lee, Kian-Lee Tan, Vilas Wuwongse (eds.)
This publication constitutes the refereed lawsuits of the eleventh foreign convention on Database platforms for complex functions, DASFAA 2006, held in Singapore in April 2006.
The forty six revised complete papers and sixteen revised brief papers offered have been conscientiously reviewed and chosen from 188 submissions. The papers are geared up in topical sections on sensor networks, subsequence matching and repeating styles, spatial-temporal databases, information mining, XML compression and indexing, xpath question overview, uncertainty and streams, peer-to-peer and allotted networks, functionality and authentication, XML question processing, OLAP and knowledge warehouse, internet and net companies, question processing, layout: modeling and dependencies, labeling scheme and graph queries in XML, rfile retrieval, and business papers.
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Extra resources for Database Systems for Advanced Applications: 11th International Conference, DASFAA 2006, Singapore, April 12-15, 2006. Proceedings
Second, each sensor has only a limited amount of memory and therefore a MINV needs to be distributed among sensors. Third, in-network view maintenance technique, rather than central approaches, are applied to keep the size of messages (intermediate view change) transferred among sensors compact. Based upon the above factors, we propose three diﬀerent approaches, namely, full scanning, replication cluster, and preﬁx sum, for managing a MINV and process spatial aggregation queries. Full scanning does not maintain any view.
C Springer-Verlag Berlin Heidelberg 2006 Processing Multiple Aggregation Queries in Geo-Sensor Networks 21 sensors close to the users serving as access points. With existing techniques, individual queries can be processed by forming independent routing trees with access points as the roots. Due to independent topologies, the aggregated results cannot be naturally shared with and reused by other queries. The scarce sensor resources (in particular, the battery power) are therefore easily overconsumed.
1. Grid structure of sensor network basic capabilities: (1) sensing, (2) storage, (3) computation, and (4) wireless communication. Sensors can sense and collect its readings, and serve as storage for its own collected readings and a partial content of a MINV. Computation enables some query processing tasks and wireless communication enables a sensor to relay messages from one sensor to its neighbors. All sensors are considered identical in terms of processing power, memory size, radio transmission coverage and energy.
Database Systems for Advanced Applications: 11th International Conference, DASFAA 2006, Singapore, April 12-15, 2006. Proceedings by Alon Y. Halevy, Michael J. Franklin, David Maier (auth.), Mong Li Lee, Kian-Lee Tan, Vilas Wuwongse (eds.)