The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Event-to-sink reliable transport in wireless sensor networks
Open accessAbstract
Wireless sensor networks (WSNs) are event-based systems that rely on the collective effort of several microsensor nodes. Reliable event detection at the sink is based on collective information provided by source nodes and not on any individual report. However, conventional end-to-end reliability definitions and solutions are inapplicable in the WSN regime and would only lead to a waste of scarce sensor resources. Hence, the WSN paradigm necessitates a collective event-to-sink reliability notion rather than the traditional end-to-end notion. To the best of our knowledge, reliable transport in WSN has not been studied from this perspective before. In order to address this need, a new reliable transport scheme for WSN, the event-to-sink reliable transport (ESRT) protocol, is presented in this paper. ESRT is a novel transport solution developed to achieve reliable event detection in WSN with minimum energy expenditure. It includes a congestion control component that serves the dual purpose of achieving reliability and conserving energy. Importantly, the algorithms of ESRT mainly run on the sink, with minimal functionality required at resource constrained sensor nodes. ESRT protocol operation is determined by the current network state based on the reliability achieved and congestion condition in the network. This self-configuring nature of ESRT makes it robust to random, dynamic topology in WSN. Furthermore, ESRT can also accommodate multiple concurrent event occurrences in a wireless sensor field. Analytical performance evaluation and simulation results show that ESRT converges to the desired reliability with minimum energy expenditure, starting from any initial network state.
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Cites
Directed diffusion: a scalable and robust communication paradigm for sensor networks
Intanagonwiwat, C., Govindan, R., & Estrin, D. (2000) · Proceedings of the 6th annual international conference on Mobile computing and networking · doi:10.1145/345910.345920 · Cited by 5,393
An energy-efficient MAC protocol for wireless sensor networks
Ye, W., Heidemann, J., & Estrin, D. (2003) · Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies · doi:10.1109/infcom.2002.1019408 · Cited by 5,361
The Dynamic Source Routing Protocol for Mobile Ad Hoc Networks (DSR)
Johnson, D. B. (2004) · Medical Entomology and Zoology · Cited by 3,206
Directed diffusion for wireless sensor networking
Intanagonwiwat, C., Govindan, R., Estrin, D., Heidemann, J., & Silva, F. (2003) · IEEE/ACM Transactions on Networking · doi:10.1109/tnet.2002.808417 · Cited by 2,359
A comparison of mechanisms for improving TCP performance over wireless links
Balakrishnan, H., Padmanabhan, V. N., Seshan, S., & Katz, R. H. (1997) · IEEE/ACM Transactions on Networking · doi:10.1109/90.650137 · Cited by 1,395
Understanding packet delivery performance in dense wireless sensor networks
Zhao, J., & Govindan, R. (2003) · Proceedings of the 1st international conference on Embedded networked sensor systems · doi:10.1145/958491.958493 · Cited by 1,267
A reliable multicast framework for light-weight sessions and application level framing
Floyd, S., Jacobson, V., Liu, C.-G., McCanne, S., & Zhang, L. (1997) · IEEE/ACM Transactions on Networking · doi:10.1109/90.650139 · Cited by 1,168
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
ESRT: event-to-sink reliable transport in wireless sensor networks
Sankarasubramaniam, Y., Akan, Ö. B., & Akyildiz, I. F. (2003) · Proceedings of the 4th ACM international symposium on Mobile ad hoc networking & computing · doi:10.1145/778415.778437 · Cited by 738
Self-citationSpatio-temporal correlation: theory and applications for wireless sensor networks
Vuran, M. C., Akan, Ö. B., & Akyildiz, I. F. (2004) · Computer Networks · doi:10.1016/j.comnet.2004.03.007 · Cited by 670
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Metadata
- Authors
- Akan, O. B., & Akyildiz, I. F.
- Venue
- IEEE/ACM Transactions on Networking
- Published
- 2005-10
- Volume
- 13
- Issue
- 5
- Pages
- 1003-1016
- ISSN
- 1063-6692 (ISSN-L)
- OpenAlex
- W2155762594
- Cited by
- 522
- References
- 12
- FWCI
- 44.12
- Type
- journal article
- Language
- en
- Open access
- green
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