ECN-Based Congestion Probability Prediction over Hybrid Wired-Wireless Networks
Network congestions and wireless link errors are both potential reasons for packet losses in hybrid wired-wireless networks. Their coexistence necessitates the design of new mechanisms that can differentiate network states more precisely. In this paper, a method is proposed to distinguish between th...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi - SAGE Publishing
2014-03-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2014/134620 |
| _version_ | 1797710937005752320 |
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| author | Jin Ye Jiawei Huang Jianxin Wang Shigeng Zhang Zhenrong Zhang |
| author_facet | Jin Ye Jiawei Huang Jianxin Wang Shigeng Zhang Zhenrong Zhang |
| author_sort | Jin Ye |
| collection | DOAJ |
| description | Network congestions and wireless link errors are both potential reasons for packet losses in hybrid wired-wireless networks. Their coexistence necessitates the design of new mechanisms that can differentiate network states more precisely. In this paper, a method is proposed to distinguish between the two reasons of packet losses in hybrid wired-wireless networks (i.e., congestions and wireless link errors) and calculate the probability of network congestion in the former case. This method combines the information contained in CE bits of a sequence of ECN-enabled acknowledge packets to calculate the probability of network congestion; thus it is more accurate than methods using CE bits of a single acknowledge packet. Analysis on the effectiveness of the proposed method in calculating congestion probability is performed via simulations. The ability to differentiate precise network states helps a TCP source response to ECN feedback more adaptively. We discuss how to enhance existing TCP variants with the proposed method. Simulation results show that the enhanced TCP variants can effectively improve network performance. |
| first_indexed | 2024-03-12T06:59:33Z |
| format | Article |
| id | doaj.art-ef9717611e8c42dca171ae142fdcb505 |
| institution | Directory Open Access Journal |
| issn | 1550-1477 |
| language | English |
| last_indexed | 2024-03-12T06:59:33Z |
| publishDate | 2014-03-01 |
| publisher | Hindawi - SAGE Publishing |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj.art-ef9717611e8c42dca171ae142fdcb5052023-09-02T23:51:37ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772014-03-011010.1155/2014/134620134620ECN-Based Congestion Probability Prediction over Hybrid Wired-Wireless NetworksJin Ye0Jiawei Huang1Jianxin Wang2Shigeng Zhang3Zhenrong Zhang4 School of Computer and Electronic Information, Guangxi University, Nanning 530004, China School of Information Science and Engineering, Central South University, Changsha 410083, China School of Information Science and Engineering, Central South University, Changsha 410083, China School of Information Science and Engineering, Central South University, Changsha 410083, China School of Computer and Electronic Information, Guangxi University, Nanning 530004, ChinaNetwork congestions and wireless link errors are both potential reasons for packet losses in hybrid wired-wireless networks. Their coexistence necessitates the design of new mechanisms that can differentiate network states more precisely. In this paper, a method is proposed to distinguish between the two reasons of packet losses in hybrid wired-wireless networks (i.e., congestions and wireless link errors) and calculate the probability of network congestion in the former case. This method combines the information contained in CE bits of a sequence of ECN-enabled acknowledge packets to calculate the probability of network congestion; thus it is more accurate than methods using CE bits of a single acknowledge packet. Analysis on the effectiveness of the proposed method in calculating congestion probability is performed via simulations. The ability to differentiate precise network states helps a TCP source response to ECN feedback more adaptively. We discuss how to enhance existing TCP variants with the proposed method. Simulation results show that the enhanced TCP variants can effectively improve network performance.https://doi.org/10.1155/2014/134620 |
| spellingShingle | Jin Ye Jiawei Huang Jianxin Wang Shigeng Zhang Zhenrong Zhang ECN-Based Congestion Probability Prediction over Hybrid Wired-Wireless Networks International Journal of Distributed Sensor Networks |
| title | ECN-Based Congestion Probability Prediction over Hybrid Wired-Wireless Networks |
| title_full | ECN-Based Congestion Probability Prediction over Hybrid Wired-Wireless Networks |
| title_fullStr | ECN-Based Congestion Probability Prediction over Hybrid Wired-Wireless Networks |
| title_full_unstemmed | ECN-Based Congestion Probability Prediction over Hybrid Wired-Wireless Networks |
| title_short | ECN-Based Congestion Probability Prediction over Hybrid Wired-Wireless Networks |
| title_sort | ecn based congestion probability prediction over hybrid wired wireless networks |
| url | https://doi.org/10.1155/2014/134620 |
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