Driving Path Predication Based Routing Protocol in Vehicular Ad hoc Networks
The vehicular mobility is reflection and extension of the human social activity. Since human trajectories show a high degree of temporal and spatial regularity, thus vehicular driving paths are predictable to a large extent. In this paper, we firstly analyze the predictabilities of different types o...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi - SAGE Publishing
2013-02-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2013/837381 |
| _version_ | 1797707253524987904 |
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| author | Yong Feng Feng Wang Jingjing Liao Qian Qian |
| author_facet | Yong Feng Feng Wang Jingjing Liao Qian Qian |
| author_sort | Yong Feng |
| collection | DOAJ |
| description | The vehicular mobility is reflection and extension of the human social activity. Since human trajectories show a high degree of temporal and spatial regularity, thus vehicular driving paths are predictable to a large extent. In this paper, we firstly analyze the predictabilities of different types of vehicles and then propose a new driving path predication based routing protocol (DPPR). With hello messages to broadcast vehicles' driving path predication information to neighbor vehicles, DPPR can observably increase the successful ratio to find the proper next hop vehicles that move toward the optimal expected road in intersection areas. In roads with sparse vehicle density, DPPR utilizes vehicles to carry messages to roads with high vehicle density while the messages' forward paths partially coincide with the vehicles' driving paths. Moreover, as to messages that can tolerate long delay, they can be carried to destinations by vehicles whose driving paths will pass the messages' destination in order to optimize bandwidth utilization. Simulation results demonstrate the effectiveness of the proposed DPPR protocol. |
| first_indexed | 2024-03-12T06:04:42Z |
| format | Article |
| id | doaj.art-55ff4ffc1bd24255879ff8f1ffaba87c |
| institution | Directory Open Access Journal |
| issn | 1550-1477 |
| language | English |
| last_indexed | 2024-03-12T06:04:42Z |
| publishDate | 2013-02-01 |
| publisher | Hindawi - SAGE Publishing |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj.art-55ff4ffc1bd24255879ff8f1ffaba87c2023-09-03T03:45:56ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772013-02-01910.1155/2013/837381Driving Path Predication Based Routing Protocol in Vehicular Ad hoc NetworksYong Feng0Feng Wang1Jingjing Liao2Qian Qian3 Yunnan Key Laboratory of Computer Technology Applications, Kunming University of Science and Technology, Kunming, Yunan 650500, China Yunnan Key Laboratory of Computer Technology Applications, Kunming University of Science and Technology, Kunming, Yunan 650500, China Faculty of Civil Engineering and Architecture, Kunming University of Science and Technology, Kunming, Yunan 650500, China Yunnan Key Laboratory of Computer Technology Applications, Kunming University of Science and Technology, Kunming, Yunan 650500, ChinaThe vehicular mobility is reflection and extension of the human social activity. Since human trajectories show a high degree of temporal and spatial regularity, thus vehicular driving paths are predictable to a large extent. In this paper, we firstly analyze the predictabilities of different types of vehicles and then propose a new driving path predication based routing protocol (DPPR). With hello messages to broadcast vehicles' driving path predication information to neighbor vehicles, DPPR can observably increase the successful ratio to find the proper next hop vehicles that move toward the optimal expected road in intersection areas. In roads with sparse vehicle density, DPPR utilizes vehicles to carry messages to roads with high vehicle density while the messages' forward paths partially coincide with the vehicles' driving paths. Moreover, as to messages that can tolerate long delay, they can be carried to destinations by vehicles whose driving paths will pass the messages' destination in order to optimize bandwidth utilization. Simulation results demonstrate the effectiveness of the proposed DPPR protocol.https://doi.org/10.1155/2013/837381 |
| spellingShingle | Yong Feng Feng Wang Jingjing Liao Qian Qian Driving Path Predication Based Routing Protocol in Vehicular Ad hoc Networks International Journal of Distributed Sensor Networks |
| title | Driving Path Predication Based Routing Protocol in Vehicular Ad hoc Networks |
| title_full | Driving Path Predication Based Routing Protocol in Vehicular Ad hoc Networks |
| title_fullStr | Driving Path Predication Based Routing Protocol in Vehicular Ad hoc Networks |
| title_full_unstemmed | Driving Path Predication Based Routing Protocol in Vehicular Ad hoc Networks |
| title_short | Driving Path Predication Based Routing Protocol in Vehicular Ad hoc Networks |
| title_sort | driving path predication based routing protocol in vehicular ad hoc networks |
| url | https://doi.org/10.1155/2013/837381 |
| work_keys_str_mv | AT yongfeng drivingpathpredicationbasedroutingprotocolinvehicularadhocnetworks AT fengwang drivingpathpredicationbasedroutingprotocolinvehicularadhocnetworks AT jingjingliao drivingpathpredicationbasedroutingprotocolinvehicularadhocnetworks AT qianqian drivingpathpredicationbasedroutingprotocolinvehicularadhocnetworks |