Research Article
Hybrid-Aware Collaborative Multipath Communications for Heterogeneous Vehicular Networks
@INPROCEEDINGS{10.1007/978-3-030-00916-8_20, author={Yana Liu and Wei Quan and Jinjie Zeng and Gang Liu and Hongke Zhang}, title={Hybrid-Aware Collaborative Multipath Communications for Heterogeneous Vehicular Networks}, proceedings={Collaborative Computing: Networking, Applications and Worksharing. 13th International Conference, CollaborateCom 2017, Edinburgh, UK, December 11--13, 2017, Proceedings}, proceedings_a={COLLABORATECOM}, year={2018}, month={10}, keywords={Collaborative Multipath Heterogeneous vehicular networks}, doi={10.1007/978-3-030-00916-8_20} }- Yana Liu
Wei Quan
Jinjie Zeng
Gang Liu
Hongke Zhang
Year: 2018
Hybrid-Aware Collaborative Multipath Communications for Heterogeneous Vehicular Networks
COLLABORATECOM
Springer
DOI: 10.1007/978-3-030-00916-8_20
Abstract
With the large-scale deployment of wireless access technologies and infrastructures, heterogeneous vehicular networks have been widely studied in recent years. However, it produces unstable link reconstruction due to frequent switch among heterogeneous access networks. Multipath TCP (MPTCP) becomes a promising means to maintain link connectivity by using multiple access interfaces. How to efficiently collaborate multiple links is still a challenge. In this article, we propose Hybrid-Aware Collaborative Multipath Communications for Heterogeneous Vehicular Networks, named HCMC-V. First, we accurately evaluate the weights of different paths by real-time sensing the propagation delay, the packet drop rate, and the bottleneck link capacity. Then, we present a hybrid-aware multipath collaboration mechanism which considers path weights in its decision making process. HCMC-V provides transparent and effective vehicular services through multiple available wireless technologies. Finally, extensive simulations show that HCMC-V significantly reduces transmission delay and improves packet transmission reliability.
