The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
CODA: congestion detection and avoidance in sensor networks
Abstract
Event-driven sensor networks operate under an idle or light load and then suddenly become active in response to a detected or monitored event. The transport of event impulses is likely to lead to varying degrees of congestion in the network depending on the sensing application. It is during these periods of event impulses that the likelihood of congestion is greatest and the information in transit of most importance to users. To address this challenge we propose an energy efficient congestion control scheme for sensor networks called CODA (COngestion Detection and Avoidance) that comprises three mechanisms: (i) receiver-based congestion detection; (ii) open-loop hop-by-hop backpressure; and (iii) closed-loop multi-source regulation. We present the detailed design, implementation, and evaluation of CODA using simulation and experimentation. We define two important performance metrics (i.e., energy tax and fidelity penalty) to evaluate the impact of CODA on the performance of sensing applications. We discuss the performance benefits and practical engineering challenges of implementing CODA in an experimental sensor network testbed based on Berkeley motes using CSMA. Simulation results indicate that CODA significantly improves the performance of data dissemination applications such as directed diffusion by mitigating hotspots, and reducing the energy tax with low fidelity penalty on sensing applications. We also demonstrate that CODA is capable of responding to a number of congestion scenarios that we believe will be prevalent as the deployment of these networks accelerates.
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Cites
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Geography-informed energy conservation for Ad Hoc routing
Xu, Y., Heidemann, J., & Estrin, D. (2001) · Proceedings of the 7th annual international conference on Mobile computing and networking · doi:10.1145/381677.381685 · Cited by 2,833
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Mica: a wireless platform for deeply embedded networks
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A transmission control scheme for media access in sensor networks
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Cited by
A survey of transport protocols for wireless sensor networks
Wang, C., Sohraby, K., Li, B., Daneshmand, M., & Hu, Y. (2006) · IEEE Network · doi:10.1109/mnet.2006.1637930 · Cited by 359
Predicting link quality using supervised learning in wireless sensor networks
Wang, Y., Martonosi, M., & Peh, L.-S. (2007) · ACM SIGMOBILE Mobile Computing and Communications Review · doi:10.1145/1317425.1317434 · Cited by 101
Metadata
- Authors
- Wan, C.-Y., Eisenman, S. B., & Campbell, A. T.
- Venue
- Proceedings of the 1st international conference on Embedded networked sensor systems
- Publisher
- ACM
- Published
- 2003-11-05
- Pages
- 266-279
- OpenAlex
- W2153905331
- Cited by
- 895
- References
- 15
- FWCI
- 16.44
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Wan, C.-Y., Eisenman, S. B., & Campbell, A. T. (2003). CODA: congestion detection and avoidance in sensor networks. Proceedings of the 1st international conference on Embedded networked sensor systems. https://doi.org/10.1145/958491.958523
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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