Dealing with Nonuniformity in Data Centric Storage for Wireless Sensor Networks
Authors: Michele Albano, Stefano Chessa, Francesco Nidito and Susanna Pelagatti
Comments: 9 pages, 9 figures, 1 table
Abstract:
In-network storage of data in Wireless Sensor Networks (WSNs) is considered a
promising alternative to external storage since it contributes to reduce the
communication overhead inside the network. Recent approaches to data storage
rely on Geographic Hash Tables (GHT) for efficient data storage and
retrieval. These approaches, however, assume that sensors are uniformly
distributed in the sensor field, which is seldom true in real applications. Also
they do not allow tuning the redundancy level in the storage according to the
importance of the data to be stored. To deal with these issues, we propose an
approach based on two mechanisms. The first is aimed at estimating the real
network distribution. The second exploits data dispersal method based on the
estimated network distribution. Experiments through simulation show that our
approach approximates quite closely the real distribution of sensors and that
our dispersal protocol sensibly reduces data losses due to unbalanced data
load.
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If you want to cite the poster (BibTeX ):@article{TPDS11QNiGHT, author = {Michele Albano and Stefano Chessa and Francesco Nidito and Susanna Pelagatti}, title = {Dealing with Nonuniformity in Data Centric Storage for Wireless Sensor Networks}, journal ={IEEE Transactions on Parallel and Distributed Systems}, volume = {22}, number = {8}, issn = {1045-9219}, year = {2011}, pages = {1398-1406}, doi = {http://doi.ieeecomputersociety.org/10.1109/TPDS.2011.18}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }