TY - GEN
T1 - The mobile edge computing (mec)-based vanet data offloading using the staying-Time-oriented k-hop away offloading agent
AU - Huang, Chung Ming
AU - Wu, Zhong You
AU - Lin, Shih Yang
N1 - Funding Information:
This work was supported by the Ministry Of Science and Technology (MOST), Taiwan (R.O.C.) under the grant number MOST 107-2221-E-006-139.
Publisher Copyright:
© 2019 IEEE.
PY - 2019/5/17
Y1 - 2019/5/17
N2 - This paper proposed a Mobile Edge Computing (MEC)-based k-hop away IEEE 802.11p Road Side Unit (RSU) Vehicular-To-Infrastructure (V2I) offloading method. Let a vehicle X regularly use LTE cellular network to communicate with the peer entity in the infrastructure side, i.e., in Internet. When there is a k-hop V2V path that can connect X with the ahead RSU, the V2I offloading can be enabled; additionally, when X has left the signal coverage of the corresponding RSU, if there is a k-hop V2V path that can connect X with the rear RSU, the V2I offloading can still be continued. In the proposed method, a MEC server is used to compute whether the k-hop V2I offloading can be enabled and maintained or not. This work also shows the performance analysis for different offloading scenarios in situations of different vehicular density.
AB - This paper proposed a Mobile Edge Computing (MEC)-based k-hop away IEEE 802.11p Road Side Unit (RSU) Vehicular-To-Infrastructure (V2I) offloading method. Let a vehicle X regularly use LTE cellular network to communicate with the peer entity in the infrastructure side, i.e., in Internet. When there is a k-hop V2V path that can connect X with the ahead RSU, the V2I offloading can be enabled; additionally, when X has left the signal coverage of the corresponding RSU, if there is a k-hop V2V path that can connect X with the rear RSU, the V2I offloading can still be continued. In the proposed method, a MEC server is used to compute whether the k-hop V2I offloading can be enabled and maintained or not. This work also shows the performance analysis for different offloading scenarios in situations of different vehicular density.
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U2 - 10.1109/ICOIN.2019.8718188
DO - 10.1109/ICOIN.2019.8718188
M3 - Conference contribution
AN - SCOPUS:85066754078
T3 - International Conference on Information Networking
SP - 357
EP - 362
BT - 33rd International Conference on Information Networking, ICOIN 2019
PB - IEEE Computer Society
T2 - 33rd International Conference on Information Networking, ICOIN 2019
Y2 - 9 January 2019 through 11 January 2019
ER -