NDLI: In-Network Execution of External Join for Sensor Networks

Content Provider	IEEE Xplore Digital Library
Author	Yongxuan Lai Yilong Chen Hong Chen
Copyright Year	2008
Description	Author affiliation: Sch. of Inf., Renmin Univ. of China, Beijing (Yongxuan Lai; Yilong Chen; Hong Chen)
Abstract	Recently there have been growing interests in the applications of wireless sensor networks such as traffic tracking, environmental surveillance, and network monitoring. In these applications, the exploration of the relationship and linkage of sensing data with other data sources can be naturally expressed by the external join, where the sensory tuples join with an external table at the base station. However, executing such kind of join queries in a highly distributed and resource-constraint sensor network is a challenging task. In this paper, we propose a partition-based algorithm called NEJA (in-network external join algorithm) for the external join processing in sensor networks. NEJA organizes the sensory data of the network through an optimized "value-to-storage" mapping, according to which each storage point stores the tuples that belong to the same subrange on the joint attribute. Then the subrange of each storage point is further partitioned into unit ranges, and tuples in the same unit range wisely choose their joining point that incurs the least communication cost based on a cost metric according to the latest historical statistics. Also, NEJA adopts some optimization techniques to handle the changes of sensory data and uses approximate approaches to cut down the maintenance cost of the mechanism. The experimental results indicate that our scheme is effective in reducing the amount of transmissions for the real time external join processing, especially when the external table has a relatively large size.
Starting Page	78
Ending Page	85
File Size	369009
Page Count	8
File Format	PDF
ISBN	9780769531854
DOI	10.1109/WAIM.2008.43
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-07-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Base stations Wireless sensor networks Distributed databases Energy efficiency Sensors Partitioning algorithms Joints
Content Type	Text
Resource Type	Article

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