Distributed Data Management in Sensor Networks
Authors: Stefano Chessa, Francesco Nidito and Susanna Pelagatti
Comments: 27 pages, 8 figures, 1 table
Abstract:
Wireless sensor networks (WSNs) are a recent technology designed for
unattended, remote monitoring and control, which have been
successfully employed in several applications. WSNs perform
environmental data sampling and processing, and guarantee access of
the processed data to remote users. In traditional WSN models these
tasks consist in transmitting sensed data to a powerful node (the
sink) which performs data analysis and storage. However these models
resulted unsuitable to keep the pace with technological advances which
granted to WSNs significant (although still limited) processing and
storage capabilities. For this reason recent paradigms for WSN
introduced data base approaches to define the tasks of data sampling
and processing, and the concept of data-centric storage for efficient
data access. In this paper, we revise the main research contributions
on both sides and discuss their advantages with respect to traditional
approaches.
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If you want to cite the chapter (BibTeX ):@InBook{NovaPublishers07Distributed, author = {Stefano Chessa and Francesco Nidito and Susanna Pelagatti,}, chapter = {Distributed Data Management in Sensor Networks}, editor = {Tong S. Lee}, publisher = {Nova Publishers Inc.}, title = {New Research on Wireless Communications}, isbn = {1-60021-674-9}, note = {To be published in 2007} }