TCP-Gvegas with prediction and adaptation in multi-hop ad hoc networks
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
TCP-Vegas fails to fully utilize the available bandwidth in WANETs, as its RTT-based rate estimate is incorrect under unstable network conditions.
“TCP-Vegas fails to fully utilize the available bandwidth in WANETs, as its RTT-based rate estimate is incorrect under unstable network conditions [219].”
From A comprehensive survey on machine learning for networking: Evolution, applications and research opportunities (2018) · cites this paper as [219]
Some RL-based approaches for updating CWND are designed for resource-constrained networks including WANETs and IoT, while others address wider network architectures such as satellite, cellular, and data center networks.
“Some of these approaches are particularly designed for resourceconstrained networks, including WANETs [29,219,379,380] and IoT [271], while others address a wider range of network architectures [30,122,477], such as satellite, cellular, and data center networks.”
From A comprehensive survey on machine learning for networking: Evolution, applications and research opportunities (2018) · cites this paper as [219]
Simulations in ns-2 reveal that TCP-GVegas outperforms TCP-NewReno and TCP-Vegas in terms of throughput and delay for different wireless topologies and varying network conditions.
“Simulations in ns-2 reveal that TCP-GVegas outperforms TCP-NewReno and TCP-Vegas in terms of throughput and delay for different wireless topologies and varying network conditions.”
From A comprehensive survey on machine learning for networking: Evolution, applications and research opportunities (2018) · cites this paper as [219]
TCP-GVegas has higher computational and storage overhead compared to standard TCP and TCP-Vegas.
“However, TCP-GVegas has higher computational and storage overhead compared to standard TCP and TCP-Vegas.”
From A comprehensive survey on machine learning for networking: Evolution, applications and research opportunities (2018) · cites this paper as [219]
The citation lists haven’t been fetched yet
References 36 · Cited by 17
- Authors
- Jiang, H., Luo, Y., Zhang, Q., Yin, M., & Wu, C.
- Affiliations
- Southwest University of Science and Technology (CN)
- China Academy of Engineering Physics (CN)
- Corresponding author
- Jiang, Hong
- Venue
- Wireless Networks
- Published
- 2016-03-07
- Volume
- 23
- Issue
- 5
- Pages
- 1535-1548
- ISSN
- 1022-0038 (ISSN-L)
- 1572-8196
- OpenAlex
- W2294141577
- Cited by
- 17
- References
- 36
- Citations by year
- 2025: 1 · 2024: 2 · 2023: 2 · 2022: 5 · 2021: 2 · 2020: 1 · 2019: 1 · 2018: 2 · 2017: 1
- FWCI
- 1.26
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Wireless Networks (publishedVersion)
- Funders
- National Nature Science Foundation of China (61379005)
- State Administration of Science, Technology and Industry for National Defence (B3120133002)
- the Robot Technology Used for Special Environment Key Laboratory of Sichuan Province (13zxtk07)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Network Traffic and Congestion Control
- Physical Sciences › Computer Science › Computer Networks and Communications › Wireless Networks and Protocols
- Physical Sciences › Computer Science › Computer Networks and Communications › Mobile Ad Hoc Networks
- Keywords
- TCP Vegas, grey forecasting, multi-hop ad hoc networks, congestion control, congestion avoidance, throughput prediction, Q-learning, bandwidth estimation, node mobility, Lyapunov stability analysis, convergence rate
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
