NDLI: Aggregate sum retrieval in sensor network by distributed prefix sum data cube

Content Provider	IEEE Xplore Digital Library
Author	Lok Hang Lee Man Hon Wong
Copyright Year	2005
Description	Author affiliation: Dept. of Comput. Sci. & Eng., Chinese Univ. of Hong Kong, China (Lok Hang Lee; Man Hon Wong)
Abstract	Several data aggregation algorithms for sensor networks have been proposed. They are capable of returning the aggregate value of a single set of sensors. However, when data aggregates of several sets of sensors are needed at the same time, the only solution these techniques provide is to build multiple distributed data structures or gossip groups in these sets of sensors. Hence in a sensor network with N sensors, we may need 2/sup N/ distributed data structures or gossip groups in order to get the aggregates of all possible sets of sensors. In this paper, we propose a novel and data-centric technique for the fast retrieval of aggregate sums from multiple regions in a sensor network, using only one single distributed data structure. Our idea is to construct a distributed data cube in the sensor network. The distributed data cube construction algorithm we propose makes use of the inclusion-exclusion principle and it can build a distributed prefix sum data cube in a sensor network in O(N) worst case time. With the distributed data cube, data aggregate queries on any rectangular regions in the sensor network can be answered in just a constant number of operations.
Starting Page	331
Ending Page	336
File Size	2628900
Page Count	6
File Format	PDF
ISBN	0769522491
ISSN	1550445X
DOI	10.1109/AINA.2005.82
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-03-28
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Aggregates Information retrieval Intelligent networks Data structures Network topology Computer science Data engineering Telecommunication traffic Sensor phenomena and characterization Energy consumption
Content Type	Text
Resource Type	Article

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