A Headway to QoS on Traffic Prediction over VANETs using RRSCM Statistical Classifier
In this paper, a novel throughput measurement forecast model is recommended for VANETs. The model is based on a statistical technique adopted and deployed over a high speed IP network traffic. Network traffic would always experience more QoS (Quality of Service) issues such as jitter, delay, packet...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Mehran University of Engineering and Technology
2016-07-01
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| Series: | Mehran University Research Journal of Engineering and Technology |
| Subjects: | |
| Online Access: | http://publications.muet.edu.pk/research_papers/pdf/pdf1366.pdf |
| _version_ | 1829100379229388800 |
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| author | ISHTIAQUE MAHMOOD AHMAD KHALIL KHAN |
| author_facet | ISHTIAQUE MAHMOOD AHMAD KHALIL KHAN |
| author_sort | ISHTIAQUE MAHMOOD |
| collection | DOAJ |
| description | In this paper, a novel throughput measurement forecast model is recommended for VANETs. The model
is based on a statistical technique adopted and deployed over a high speed IP network traffic. Network traffic would always experience more QoS (Quality of Service) issues such as jitter, delay, packet loss
and degradation due to very low bit rate codification too. Despite of all such dictated issues the traffic throughput is to be predicted with at most accuracy using a proposed multivariate analysis scheme represented as a RRSCM (Refined Regression Statistical Classifier Model) that optimizes parting
parameters. Henceforth, the focus is towards the measurement methodology that estimates the traffic parameters that triggers to predict the accurate traffic and extemporize the QoS for the end-users.
Finally, the proposed RRSCM classification model?s end-results are compared with the ANN (Artificial Neural Network) classification model to showcase its better act on the projected model |
| first_indexed | 2024-12-10T22:31:20Z |
| format | Article |
| id | doaj.art-8c0aeef4f31045aa9797338861cdb0b1 |
| institution | Directory Open Access Journal |
| issn | 0254-7821 2413-7219 |
| language | English |
| last_indexed | 2024-12-10T22:31:20Z |
| publishDate | 2016-07-01 |
| publisher | Mehran University of Engineering and Technology |
| record_format | Article |
| series | Mehran University Research Journal of Engineering and Technology |
| spelling | doaj.art-8c0aeef4f31045aa9797338861cdb0b12022-12-22T01:31:02ZengMehran University of Engineering and TechnologyMehran University Research Journal of Engineering and Technology0254-78212413-72192016-07-013533813941366A Headway to QoS on Traffic Prediction over VANETs using RRSCM Statistical ClassifierISHTIAQUE MAHMOODAHMAD KHALIL KHANIn this paper, a novel throughput measurement forecast model is recommended for VANETs. The model is based on a statistical technique adopted and deployed over a high speed IP network traffic. Network traffic would always experience more QoS (Quality of Service) issues such as jitter, delay, packet loss and degradation due to very low bit rate codification too. Despite of all such dictated issues the traffic throughput is to be predicted with at most accuracy using a proposed multivariate analysis scheme represented as a RRSCM (Refined Regression Statistical Classifier Model) that optimizes parting parameters. Henceforth, the focus is towards the measurement methodology that estimates the traffic parameters that triggers to predict the accurate traffic and extemporize the QoS for the end-users. Finally, the proposed RRSCM classification model?s end-results are compared with the ANN (Artificial Neural Network) classification model to showcase its better act on the projected modelhttp://publications.muet.edu.pk/research_papers/pdf/pdf1366.pdfQoSRegressionRefined Regression Statistical Classifier ModelVANETsArtificial Neural Network |
| spellingShingle | ISHTIAQUE MAHMOOD AHMAD KHALIL KHAN A Headway to QoS on Traffic Prediction over VANETs using RRSCM Statistical Classifier Mehran University Research Journal of Engineering and Technology QoS Regression Refined Regression Statistical Classifier Model VANETs Artificial Neural Network |
| title | A Headway to QoS on Traffic Prediction over VANETs using RRSCM Statistical Classifier |
| title_full | A Headway to QoS on Traffic Prediction over VANETs using RRSCM Statistical Classifier |
| title_fullStr | A Headway to QoS on Traffic Prediction over VANETs using RRSCM Statistical Classifier |
| title_full_unstemmed | A Headway to QoS on Traffic Prediction over VANETs using RRSCM Statistical Classifier |
| title_short | A Headway to QoS on Traffic Prediction over VANETs using RRSCM Statistical Classifier |
| title_sort | headway to qos on traffic prediction over vanets using rrscm statistical classifier |
| topic | QoS Regression Refined Regression Statistical Classifier Model VANETs Artificial Neural Network |
| url | http://publications.muet.edu.pk/research_papers/pdf/pdf1366.pdf |
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