Disorder Analytic Model-Based CMT Algorithms in Vehicular Sensor Networks
Recently, vehicular sensor networks (VSNs) have emerged as a new intelligent transport networking paradigm in the Internet of Things. By sensing, collecting, and delivering traffic-related information, VSNs can significantly improve both driving experience and traffic flow control, especially in con...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2013-03-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2013/460164 |
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| _version_ | 1850181973429977088 |
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| author | Changqiao Xu Xiangzhou Xia Jianfeng Guan Hongke Zhang Gabriel-Miro Muntean |
| author_facet | Changqiao Xu Xiangzhou Xia Jianfeng Guan Hongke Zhang Gabriel-Miro Muntean |
| author_sort | Changqiao Xu |
| collection | DOAJ |
| description | Recently, vehicular sensor networks (VSNs) have emerged as a new intelligent transport networking paradigm in the Internet of Things. By sensing, collecting, and delivering traffic-related information, VSNs can significantly improve both driving experience and traffic flow control, especially in constrained urban environments. Latest technological advances enable vehicular devices to be equipped with multiple wireless interfaces, which can support cooperative communications for concurrent multipath transfer (CMT) in VSNs. However, path heterogeneity and vehicle mobilitycauseCMT not to achieve the same high transport efficiency recorded in wired nonmobile network environments. This paper proposes a novel vehicular network-based CMT solution (VN-CMT) to address the above issues and improve data delivery efficiency. VN-CMT is based on a CMT disorder analytic model which can effectively and accurately evaluate the degree of out-of-order data. Based on this proposed model, a series of mechanisms are introduced as follows: (1) a packet disorder-reducing retransmission policy to reduce retransmission delay; (2) a path group selection algorithm to find the best path set for data multipath concurrent transfer; and (3) a data scheduling mechanism to distribute data according to each path's capacity. Simulation results show how VN-CMT improves data delivery efficiency in comparison with an existing state-of-the-art solution. |
| format | Article |
| id | doaj-art-497bafa4fa8948d39e5523bc12e1b40a |
| institution | OA Journals |
| issn | 1550-1477 |
| language | English |
| publishDate | 2013-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-497bafa4fa8948d39e5523bc12e1b40a2025-08-20T02:17:46ZengWileyInternational Journal of Distributed Sensor Networks1550-14772013-03-01910.1155/2013/460164Disorder Analytic Model-Based CMT Algorithms in Vehicular Sensor NetworksChangqiao Xu0Xiangzhou Xia1Jianfeng Guan2Hongke Zhang3Gabriel-Miro Muntean4 State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China School of Computer Science, Beijing University of Posts and Telecommunications, Beijing 100876, China State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China National Engineering Laboratory for Next Generation Internet Interconnection Devices, Beijing Jiaotong University, Beijing 100044, China Performance Engineering Laboratory, School of Electronic Engineering, Dublin City University, Dublin 9, IrelandRecently, vehicular sensor networks (VSNs) have emerged as a new intelligent transport networking paradigm in the Internet of Things. By sensing, collecting, and delivering traffic-related information, VSNs can significantly improve both driving experience and traffic flow control, especially in constrained urban environments. Latest technological advances enable vehicular devices to be equipped with multiple wireless interfaces, which can support cooperative communications for concurrent multipath transfer (CMT) in VSNs. However, path heterogeneity and vehicle mobilitycauseCMT not to achieve the same high transport efficiency recorded in wired nonmobile network environments. This paper proposes a novel vehicular network-based CMT solution (VN-CMT) to address the above issues and improve data delivery efficiency. VN-CMT is based on a CMT disorder analytic model which can effectively and accurately evaluate the degree of out-of-order data. Based on this proposed model, a series of mechanisms are introduced as follows: (1) a packet disorder-reducing retransmission policy to reduce retransmission delay; (2) a path group selection algorithm to find the best path set for data multipath concurrent transfer; and (3) a data scheduling mechanism to distribute data according to each path's capacity. Simulation results show how VN-CMT improves data delivery efficiency in comparison with an existing state-of-the-art solution.https://doi.org/10.1155/2013/460164 |
| spellingShingle | Changqiao Xu Xiangzhou Xia Jianfeng Guan Hongke Zhang Gabriel-Miro Muntean Disorder Analytic Model-Based CMT Algorithms in Vehicular Sensor Networks International Journal of Distributed Sensor Networks |
| title | Disorder Analytic Model-Based CMT Algorithms in Vehicular Sensor Networks |
| title_full | Disorder Analytic Model-Based CMT Algorithms in Vehicular Sensor Networks |
| title_fullStr | Disorder Analytic Model-Based CMT Algorithms in Vehicular Sensor Networks |
| title_full_unstemmed | Disorder Analytic Model-Based CMT Algorithms in Vehicular Sensor Networks |
| title_short | Disorder Analytic Model-Based CMT Algorithms in Vehicular Sensor Networks |
| title_sort | disorder analytic model based cmt algorithms in vehicular sensor networks |
| url | https://doi.org/10.1155/2013/460164 |
| work_keys_str_mv | AT changqiaoxu disorderanalyticmodelbasedcmtalgorithmsinvehicularsensornetworks AT xiangzhouxia disorderanalyticmodelbasedcmtalgorithmsinvehicularsensornetworks AT jianfengguan disorderanalyticmodelbasedcmtalgorithmsinvehicularsensornetworks AT hongkezhang disorderanalyticmodelbasedcmtalgorithmsinvehicularsensornetworks AT gabrielmiromuntean disorderanalyticmodelbasedcmtalgorithmsinvehicularsensornetworks |