Processing Multiple Aggregation Queries in Geo-Sensor Networks
Author(s) -
Ken C. K. Lee,
Wang-Chien Lee,
Baihua Zheng,
Julian Winter
Publication year - 2006
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
ISBN - 3-540-33337-1
DOI - 10.1007/11733836_4
Subject(s) - computer science , wireless sensor network , process (computing) , distributed computing , wireless ad hoc network , materialized view , computer network , data aggregator , data mining , database , view , telecommunications , operating system , wireless , database design
To process aggregation queries issued through different sensors as access points in sensor networks, existing algorithms handle queries independently and perform in-network aggregation only at the query time. As a result of ad-hoc and independent execution of queries, no partial result is sharable and reusable among the queries. Consequently, scarce sensor network resources can be easily overconsumed, particularly, those sensors commonly accessed by queries. In this paper, we address this issue by examining strategies to maintain Materialized In-Network Views (MINVs) that pre-compute and store commonly used aggregation results in the sensor network. With MINVs, aggregated sensed results for some spatial regions are available and sharable to queries. Thus, the number of sensor accesses is greatly reduced. Through simulations, we validate the effectiveness of proposed strategies
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