The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Upstream congestion control in wireless sensor networks through cross-layer optimization
Abstract
Congestion in wireless sensor networks not only causes packet loss, but also leads to excessive energy consumption. Therefore congestion in WSNs needs to be controlled in order to prolong system lifetime. In addition, this is also necessary to improve fairness and provide better quality of service (QoS), which is required by multimedia applications in wireless multimedia sensor networks. In this paper, we propose a novel upstream congestion control protocol for WSNs, called priority-based congestion control protocol (PCCP). Unlike existing work, PCCP innovatively measures congestion degree as the ratio of packet inter-arrival time along over packet service time. PCCP still introduced node priority index to reflect the importance of each sensor node. Based on the introduced congestion degree and node priority index, PCCP utilizes a cross-layer optimization and imposes a hop-by-hop approach to control congestion. We have demonstrated that PCCP achieves efficient congestion control and flexible weighted fairness for both single-path and multi-path routing, as a result this leads to higher energy efficiency and better QoS in terms of both packet loss rate and delay.
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Citations
Cites
Wireless sensor networks: a survey
Akyildiz, I. F., Su, W., Sankarasubramaniam, Y., & Cayirci, E. (2002) · Computer Networks · doi:10.1016/s1389-1286(01)00302-4 · Cited by 17,418
A survey on wireless multimedia sensor networks
Akyildiz, I. F., Melodia, T., & Chowdhury, K. R. (2007) · Computer Networks · doi:10.1016/j.comnet.2006.10.002 · Cited by 2,308
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The art of computer systems performance analysis
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A transmission control scheme for media access in sensor networks
Woo, A., & Culler, D. (2001) · ACM Annual International Conference on Mobile Computing and Networking (MobiCom) · doi:10.1145/381677.381699 · Cited by 962
CODA: congestion detection and avoidance in sensor networks
Wan, C.-Y., Eisenman, S. B., & Campbell, A. T. (2003) · Proceedings of the 1st international conference on Embedded networked sensor systems · doi:10.1145/958491.958523 · Cited by 895
Mitigating congestion in wireless sensor networks
Hull, B., Jamieson, K., & Balakrishnan, H. (2004) · Proceedings of the 2nd international conference on Embedded networked sensor systems · doi:10.1145/1031495.1031512 · Cited by 648
Congestion control and fairness for many-to-one routing in sensor networks
Ee, C. T., & Bajcsy, R. (2004) · Proceedings of the 2nd international conference on Embedded networked sensor systems · doi:10.1145/1031495.1031513 · Cited by 521
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
Self-citationSiphon: overload traffic management using multi-radio virtual sinks in sensor networks
Wan, C.-Y., Eisenman, S. B., Campbell, A. T., & Crowcroft, J. (2005) · Proceedings of the 3rd international conference on Embedded networked sensor systems · doi:10.1145/1098918.1098931 · Cited by 207
Cited by
Fairness in wireless networks: Issues, measures and challenges
Shi, H., Prasad, R. V., Onur, E., & Niemegeers, I. G. M. M. (2014) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2013.050113.00015 · Cited by 446
Metadata
- Authors
- Wang, C., Li, B., Sohraby, K., Daneshmand, M., & Hu, Y.
- Venue
- IEEE Journal on Selected Areas in Communications
- Published
- 2007-05
- Volume
- 25
- Issue
- 4
- Pages
- 786-795
- ISSN
- 0733-8716 (ISSN-L)
- OpenAlex
- W2106986959
- Cited by
- 324
- References
- 10
- FWCI
- 29.19
- Type
- journal article
- Language
- en
- Open access
- closed
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- Wang, C., Li, B., Sohraby, K., Daneshmand, M., & Hu, Y. (2007). Upstream congestion control in wireless sensor networks through cross-layer optimization. IEEE Journal on Selected Areas in Communications. https://doi.org/10.1109/jsac.2007.070514
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
