Matches in SemOpenAlex for { <https://semopenalex.org/work/W2891623325> ?p ?o ?g. }
Showing items 1 to 93 of
93
with 100 items per page.
- W2891623325 abstract "Communication networks such as wireless sensor networks, Internet of Things and vehicular ad-hoc networks are becoming more complex and increasing in size. This leads to high overhead (network and computation) and difficulty in determining the accurate network topology, which is an important information for traffic engineering and network management. Localization of link failures in such networks is a challenging problem and requires a novel approach to achieve the goal without any prior information about the network topology. In this paper, we present a traffic engineering (TE)-based machine learning approach to detect and localize link failures. Instead of using topology information and actively injecting additional packets to localize a failed link, the proposed machine learning model adopts a passive mechanism to learn the network traffic behavior from propagation delay, number of flows and average packet loss at every node in the network under normal working conditions and failure scenarios. We train the learning model with machine learning algorithms such as naive Bayes, logistic regression, support vector machine, multi-layer perceptron, decision tree and random forest. We implement the proposed approach and carry out extensive experiments using the Mininet platform. The performance study shows that our proposed approach localizes link failures with at least 90% accuracy using random forest algorithm while requiring less time-to-localization of a link failure compared to other existing works." @default.
- W2891623325 created "2018-09-27" @default.
- W2891623325 creator A5024736417 @default.
- W2891623325 creator A5049828284 @default.
- W2891623325 creator A5080394785 @default.
- W2891623325 date "2018-08-01" @default.
- W2891623325 modified "2023-09-29" @default.
- W2891623325 title "TE-Based Machine Learning Techniques for Link Fault Localization in Complex Networks" @default.
- W2891623325 cites W1513149677 @default.
- W2891623325 cites W1596717185 @default.
- W2891623325 cites W1977177161 @default.
- W2891623325 cites W1994174762 @default.
- W2891623325 cites W2125283600 @default.
- W2891623325 cites W2146377002 @default.
- W2891623325 cites W2156336167 @default.
- W2891623325 cites W2157393168 @default.
- W2891623325 cites W2161415693 @default.
- W2891623325 cites W2344277659 @default.
- W2891623325 cites W2406552012 @default.
- W2891623325 cites W2588777156 @default.
- W2891623325 cites W2602197485 @default.
- W2891623325 cites W4206816299 @default.
- W2891623325 doi "https://doi.org/10.1109/ficloud.2018.00012" @default.
- W2891623325 hasPublicationYear "2018" @default.
- W2891623325 type Work @default.
- W2891623325 sameAs 2891623325 @default.
- W2891623325 citedByCount "11" @default.
- W2891623325 countsByYear W28916233252019 @default.
- W2891623325 countsByYear W28916233252021 @default.
- W2891623325 countsByYear W28916233252022 @default.
- W2891623325 crossrefType "proceedings-article" @default.
- W2891623325 hasAuthorship W2891623325A5024736417 @default.
- W2891623325 hasAuthorship W2891623325A5049828284 @default.
- W2891623325 hasAuthorship W2891623325A5080394785 @default.
- W2891623325 hasConcept C111919701 @default.
- W2891623325 hasConcept C119857082 @default.
- W2891623325 hasConcept C120314980 @default.
- W2891623325 hasConcept C12267149 @default.
- W2891623325 hasConcept C12570599 @default.
- W2891623325 hasConcept C127413603 @default.
- W2891623325 hasConcept C154945302 @default.
- W2891623325 hasConcept C158379750 @default.
- W2891623325 hasConcept C179717631 @default.
- W2891623325 hasConcept C199845137 @default.
- W2891623325 hasConcept C2779960059 @default.
- W2891623325 hasConcept C31258907 @default.
- W2891623325 hasConcept C41008148 @default.
- W2891623325 hasConcept C50644808 @default.
- W2891623325 hasConcept C52001869 @default.
- W2891623325 hasConcept C555944384 @default.
- W2891623325 hasConcept C60908668 @default.
- W2891623325 hasConcept C62611344 @default.
- W2891623325 hasConcept C66938386 @default.
- W2891623325 hasConcept C76155785 @default.
- W2891623325 hasConcept C94523657 @default.
- W2891623325 hasConceptScore W2891623325C111919701 @default.
- W2891623325 hasConceptScore W2891623325C119857082 @default.
- W2891623325 hasConceptScore W2891623325C120314980 @default.
- W2891623325 hasConceptScore W2891623325C12267149 @default.
- W2891623325 hasConceptScore W2891623325C12570599 @default.
- W2891623325 hasConceptScore W2891623325C127413603 @default.
- W2891623325 hasConceptScore W2891623325C154945302 @default.
- W2891623325 hasConceptScore W2891623325C158379750 @default.
- W2891623325 hasConceptScore W2891623325C179717631 @default.
- W2891623325 hasConceptScore W2891623325C199845137 @default.
- W2891623325 hasConceptScore W2891623325C2779960059 @default.
- W2891623325 hasConceptScore W2891623325C31258907 @default.
- W2891623325 hasConceptScore W2891623325C41008148 @default.
- W2891623325 hasConceptScore W2891623325C50644808 @default.
- W2891623325 hasConceptScore W2891623325C52001869 @default.
- W2891623325 hasConceptScore W2891623325C555944384 @default.
- W2891623325 hasConceptScore W2891623325C60908668 @default.
- W2891623325 hasConceptScore W2891623325C62611344 @default.
- W2891623325 hasConceptScore W2891623325C66938386 @default.
- W2891623325 hasConceptScore W2891623325C76155785 @default.
- W2891623325 hasConceptScore W2891623325C94523657 @default.
- W2891623325 hasLocation W28916233251 @default.
- W2891623325 hasOpenAccess W2891623325 @default.
- W2891623325 hasPrimaryLocation W28916233251 @default.
- W2891623325 hasRelatedWork W2183673732 @default.
- W2891623325 hasRelatedWork W2277832099 @default.
- W2891623325 hasRelatedWork W2727048367 @default.
- W2891623325 hasRelatedWork W2754510604 @default.
- W2891623325 hasRelatedWork W2787191226 @default.
- W2891623325 hasRelatedWork W3168994312 @default.
- W2891623325 hasRelatedWork W4206518317 @default.
- W2891623325 hasRelatedWork W4221021152 @default.
- W2891623325 hasRelatedWork W4231994957 @default.
- W2891623325 hasRelatedWork W4280611221 @default.
- W2891623325 isParatext "false" @default.
- W2891623325 isRetracted "false" @default.
- W2891623325 magId "2891623325" @default.
- W2891623325 workType "article" @default.