The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
TAG: a Tiny AGgregation service for ad-hoc sensor networks
Abstract
We present the Tiny AGgregation (TAG) service for aggregation in low-power, distributed, wireless environments. TAG allows users to express simple, declarative queries and have them distributed and executed efficiently in networks of low-power, wireless sensors. We discuss various generic properties of aggregates, and show how those properties affect the performance of our in network approach. We include a performance study demonstrating the advantages of our approach over traditional centralized, out-of-network methods, and discuss a variety of optimizations for improving the performance and fault tolerance of the basic solution.
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Cites
Isaacs, D., Isaacs, S., & Fitzgerald, D. (2007) · BMJ · doi:10.1136/bmj.38994.480845.de · Cited by 56
Cited by
Boyd, S., Ghosh, A., Prabhakar, B., & Shah, D. (2006) · IEEE Transactions on Information Theory · doi:10.1109/tit.2006.874516 · Cited by 2,439
Gossip-based computation of aggregate information
Kempe, D., Dobra, A., & Gehrke, J. (2004) · 44th Annual IEEE Symposium on Foundations of Computer Science, 2003. Proceedings. · doi:10.1109/sfcs.2003.1238221 · Cited by 1,480
Maté: a tiny virtual machine for sensor networks
Levis, P., & Culler, D. (2002) · Proceedings of the 10th international conference on Architectural support for programming languages and operating systems · doi:10.1145/605397.605407 · Cited by 1,019
In-network aggregation techniques for wireless sensor networks: a survey
Fasolo, E., Rossi, M., Widmer, J., & Zorzi, M. (2007) · IEEE Wireless Communications · doi:10.1109/mwc.2007.358967 · Cited by 734
Enabling Effective Programming and Flexible Management of Efficient Body Sensor Network Applications
Fortino, G., Giannantonio, R., Gravina, R., Kuryloski, P., & Jafari, R. (2013) · IEEE Transactions on Human-Machine Systems · doi:10.1109/tsmcc.2012.2215852 · Cited by 412
Metadata
- Authors
- Madden, S., Franklin, M. J., Hellerstein, J. M., & Hong, W.
- Venue
- ACM SIGOPS Operating Systems Review
- Published
- 2002-12-31
- Volume
- 36
- Issue
- SI
- Pages
- 131-146
- ISSN
- 0163-5980 (ISSN-L)
- OpenAlex
- W2167396179
- Cited by
- 2,719
- References
- 1
- FWCI
- 164.49
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
