The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
A high-throughput path metric for multi-hop wireless routing
Abstract
This paper presents the expected transmission count metric (ETX), which finds high-throughput paths on multi-hop wireless networks. ETX minimizes the expected total number of packet transmissions (including retransmissions) required to successfully deliver a packet to the ultimate destination. The ETX metric incorporates the effects of link loss ratios, asymmetry in the loss ratios between the two directions of each link, and interference among the successive links of a path. In contrast, the minimum hop-count metric chooses arbitrarily among the different paths of the same minimum length, regardless of the often large differences in throughput among those paths, and ignoring the possibility that a longer path might offer higher throughput.This paper describes the design and implementation of ETX as a metric for the DSDV and DSR routing protocols, as well as modifications to DSDV and DSR which allow them to use ETX. Measurements taken from a 29-node 802.11b test-bed demonstrate the poor performance of minimum hop-count, illustrate the causes of that poor performance, and confirm that ETX improves performance. For long paths the throughput improvement is often a factor of two or more, suggesting that ETX will become more useful as networks grow larger and paths become longer.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Energy-efficient communication protocol for wireless microsensor networks
Heinzelman, W. R., Chandrakasan, A., & Balakrishnan, H. (2005) · Proceedings of the 33rd Annual Hawaii International Conference on System Sciences · doi:10.1109/hicss.2000.926982 · Cited by 14,140
Ad-hoc on-demand distance vector routing
Perkins, C. E., & Royer, E. M. (1999) · Proceedings WMCSA'99. Second IEEE Workshop on Mobile Computing Systems and Applications · doi:10.1109/mcsa.1999.749281 · Cited by 10,313
Highly dynamic Destination-Sequenced Distance-Vector routing (DSDV) for mobile computers
Perkins, C. E., & Bhagwat, P. (1994) · ACM SIGCOMM Computer Communication Review · doi:10.1145/190809.190336 · Cited by 6,678
A performance comparison of multi-hop wireless ad hoc network routing protocols
Broch, J., Maltz, D. A., Johnson, D. B., Hu, Y.-C., & Jetcheva, J. (1998) · Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking · doi:10.1145/288235.288256 · Cited by 4,673
The Dynamic Source Routing Protocol for Mobile Ad Hoc Networks (DSR)
Johnson, D. B. (2004) · Medical Entomology and Zoology · Cited by 3,206
Highly dynamic Destination-Sequenced Distance-Vector routing (DSDV) for mobile computers
Perkins, C. E., & Bhagwat, P. (1994) · Proceedings of the conference on Communications architectures, protocols and applications - SIGCOMM '94 · doi:10.1145/190314.190336 · Cited by 2,914
Kohler, E., Morris, R., Chen, B., Jannotti, J., & Kaashoek, M. F. (2000) · ACM Transactions on Computer Systems · doi:10.1145/354871.354874 · Cited by 2,413
Self-citationCapacity of Ad Hoc wireless networks
Li, J., Blake, C., Couto, D. S. J. D., et al. (2001) · Proceedings of the 28th Annual International Conference on Mobile Computing And Networking · doi:10.1145/381677.381684 · Cited by 1,637
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
Energy-efficient communication protocols for wireless microsensor networks
Heinzelman, W., Chandrakasan, A. P., & Balakrishnan, H. (2000) · Cited by 929
Cited by
Trading structure for randomness in wireless opportunistic routing
Chachulski, S., Jennings, M., Katti, S., & Katabi, D. (2007) · Proceedings of the 2007 conference on Applications, technologies, architectures, and protocols for computer communications · doi:10.1145/1282380.1282400 · Cited by 1,082
Sensor networks for medical care
Shnayder, V., Chen, B.-R., Lorincz, K., Jones, T. R. F. F., & Welsh, M. (2005) · Proceedings of the 3rd international conference on Embedded networked sensor systems · doi:10.1145/1098918.1098979 · Cited by 720
Kramer, G., Marić, I., & Yates, R. D. (2006) · Foundations and Trends® in Networking · doi:10.1561/1300000004 · Cited by 282
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
Efficient and Reliable Broadcast in Intervehicle Communication Networks: A Cross-Layer Approach
Bi, Y., Cai, L. X., Shen, X., & Zhao, H. (2010) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2010.2044905 · Cited by 82
Metadata
- Authors
- De Couto, D. S. J., Aguayo, D., Bicket, J., & Morris, R.
- Venue
- Proceedings of the 9th annual international conference on Mobile computing and networking
- Publisher
- ACM
- Published
- 2003-09-14
- Pages
- 134-146
- ISSN
- 1543-5679 (ISSN-L)
- OpenAlex
- W2041248965
- Cited by
- 3,356
- References
- 14
- FWCI
- 53.08
- Type
- conference paper
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A high-throughput path metric for multi-hop wireless routing. https://app.cochat.ai/papers/10.1145/938985.939000
- The paper
- De Couto, D. S. J., Aguayo, D., Bicket, J., & Morris, R. (2003). A high-throughput path metric for multi-hop wireless routing. Proceedings of the 9th annual international conference on Mobile computing and networking. https://doi.org/10.1145/938985.939000
Data sources
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.