The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
TinyDB: an acquisitional query processing system for sensor networks
Abstract
We discuss the design of an acquisitional query processor for data collection in sensor networks. Acquisitional issues are those that pertain to where, when, and how often data is physically acquired ( sampled ) and delivered to query processing operators. By focusing on the locations and costs of acquiring data, we are able to significantly reduce power consumption over traditional passive systems that assume the a priori existence of data. We discuss simple extensions to SQL for controlling data acquisition, and show how acquisitional issues influence query optimization, dissemination, and execution. We evaluate these issues in the context of TinyDB, a distributed query processor for smart sensor devices, and show how acquisitional techniques can provide significant reductions in power consumption on our sensor devices.
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Cites
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TAG: a Tiny AGgregation service for ad-hoc sensor networks
Madden, S., Franklin, M. J., Hellerstein, J. M., & Hong, W. (2002) · ACM SIGOPS Operating Systems Review · doi:10.1145/844128.844142 · Cited by 2,719
Self-citationTiming-sync protocol for sensor networks
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Federated learning: Challenges, methods, and future directions
Li, T., Sahu, A. K., Talwalkar, A., & Smith, V. (2020) · IEEE Signal Processing Magazine · doi:10.1109/msp.2020.2975749 · Cited by 6,210
Information fusion for wireless sensor networks: Methods, models, and classifications
Nakamura, E. F., Loureiro, A. A. F., & Frery, A. C. (2007) · ACM Computing Surveys · doi:10.1145/1267070.1267073 · Cited by 537
Context-aware wireless sensor networks for assisted living and residential monitoring
Wood, A. D., Stankovic, J. A., Virone, G., Selavo, L., He, Z., Cao, Q., Doan, T., Wu, Y., Fang, L., & Stoleru, R. (2008) · IEEE Network · doi:10.1109/mnet.2008.4579768 · Cited by 409
Remote health monitoring of elderly through wearable sensors
Al-khafajiy, M., Baker, T., Chalmers, C., Asim, M., Kolivand, H., Fahim, M., & Waraich, A. (2019) · Multimedia Tools and Applications · doi:10.1007/s11042-018-7134-7 · Cited by 365
Abdelzaher, T., Anokwa, Y., Boda, P., Burke, J., Estrin, D., Guibas, L., Kansal, A., Madden, S., & Reich, J. (2007) · IEEE Pervasive Computing · doi:10.1109/mprv.2007.38 · Cited by 258
Self-citation
Metadata
- Authors
- Madden, S. R., Franklin, M. J., Hellerstein, J. M., & Hong, W.
- Venue
- ACM Transactions on Database Systems
- Published
- 2005-03
- Volume
- 30
- Issue
- 1
- Pages
- 122-173
- ISSN
- 0362-5915 (ISSN-L)
- 1557-4644
- OpenAlex
- W2154721480
- Cited by
- 1,899
- References
- 32
- FWCI
- 202.54
- Type
- journal article
- Language
- en
- Open access
- closed
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- Madden, S. R., Franklin, M. J., Hellerstein, J. M., & Hong, W. (2005). TinyDB: an acquisitional query processing system for sensor networks. ACM Transactions on Database Systems. https://doi.org/10.1145/1061318.1061322
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