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Multiresolution storage and search in sensor networks (2005)
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| Venue: | ACM Transactions on Storage |
| Citations: | 39 - 0 self |
BibTeX
@ARTICLE{Ganesan05multiresolutionstorage,
author = {Deepak Ganesan and Ben Greenstein and Deborah Estrin and John Heidemann and Ramesh Govindan},
title = {Multiresolution storage and search in sensor networks},
journal = {ACM Transactions on Storage},
year = {2005},
volume = {1},
pages = {277--315}
}
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Abstract
Wireless sensor networks enable dense sensing of the environment, offering unprecedented opportunities for observing the physical world. This paper addresses two key challenges in wireless sensor networks: in-network storage and distributed search. The need for these techniques arises from the inability to provide persistent, centralized storage and querying in many sensor networks. Centralized storage requires multi-hop transmission of sensor data to internet gateways which can quickly drain battery-operated nodes. Constructing a storage and search system that satisfies the requirements of data-rich, scientific applications is a daunting task for many reasons: (a) the data requirements are large compared to available storage and communication capacity of resource-constrained nodes, (b) user requirements are diverse and range from identification and collection of interesting event signatures to obtaining a deeper understanding of long-term trends and anomalies in the sensor events, and (c) many applications are in new domains where a priori information may not be available to reduce these requirements. This paper describes a lossy, gracefully degrading storage model. We believe that such a model is necessary and sufficient for many scientific applications since it supports both progressive data
Keyphrases
sensor network multiresolution storage battery-operated node resource-constrained node physical world many reason sensor data priori information unprecedented opportunity data requirement long-term trend sensor event multi-hop transmission many application available storage many sensor network interesting event signature storage model new domain scientific application many scientific application key challenge wireless sensor network technique arises search system user requirement in-network storage communication capacity progressive data
