Distributed Data Management in Sensor Networks

Authors: Stefano Chessa, Francesco Nidito and Susanna Pelagatti

Comments: 27 pages, 8 figures, 1 table

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 ):
   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}