scholarly journals Exploring Intelligent Service Migration in Vehicular Networks

2019 ◽  
pp. 41-61 ◽  
Author(s):  
Onyekachukwu A. Ezenwigbo ◽  
Vishnu Vardhan Paranthaman ◽  
Glenford Mapp ◽  
Ramona Trestian
Keyword(s):  
Vehicular Networks ◽  
Service Migration

scholarly journals Predictive Migration Performance in Vehicular Edge Computing Environments

2021 ◽  
Vol 11 (3) ◽  
pp. 944
Author(s):  
Katja Gilly ◽  
Sonja Filiposka ◽  
Salvador Alcaraz
Keyword(s):  
Large Scale ◽  
Vehicular Networks ◽  
High Mobility ◽  
Network Connectivity ◽  
Autonomous Driving ◽  
Prediction Errors ◽  
Service Delay ◽  
Service Migration ◽  
High Bandwidth ◽  
Processing And Storage

Advanced learning algorithms for autonomous driving require lots of processing and storage power, which puts a strain on vehicles’ computing resources. Using a combination of 5G network connectivity with ultra-high bandwidth and low latency together with extra computing power located at the edge of the network can help extend the capabilities of vehicular networks. However, due to the high mobility, it is essential that the offloaded services are migrated so that they are always in close proximity to the requester. Using proactive migration techniques ensures minimum latency for high service quality. However, predicting the next edge server to migrate comes with an error that can have deteriorating effects on the latency. In this paper, we examine the influence of mobility prediction errors on edge service migration performances in terms of latency penalty using a large-scale urban vehicular simulation. Our results show that the average service delay increases almost linearly with the migration prediction error, with 20% error yielding almost double service latency.

scholarly journals A Deep Reinforcement Learning Approach for Service Migration in MEC-enabled Vehicular Networks

2021 ◽  
Author(s):  
Amine Abouaomar ◽  
Zoubeir Mlika ◽  
Abderrahime Filali ◽  
Soumaya Cherkaoui ◽  
Abdellatif Kobbane
Keyword(s):  
Reinforcement Learning ◽  
Vehicular Networks ◽  
Learning Approach ◽  
Service Migration

Vehicular CPS: an application of IoT in vehicular networks

2013 ◽  
Vol 32 (4) ◽  
pp. 900-904 ◽  
Author(s):  
Xiao-yang LIU ◽  
Min-you WU
Keyword(s):  
Vehicular Networks

scholarly journals GeoAKOM: A Smart Geocasting Protocol for Vehicular Networks

2021 ◽  
Vol 184 ◽  
pp. 364-371
Author(s):  
Ezgi Tetik Saglam ◽  
Yusuf Yaslan ◽  
Sema F. Oktug
Keyword(s):  
Vehicular Networks

Spectrum sensing challenges & their solutions in cognitive radio based vehicular networks

2021 ◽  
Vol 34 (7) ◽  
Author(s):  
Mohammad Asif Hossain ◽  
Rafidah Md Noor ◽  
Saaidal Razalli Azzuhri ◽  
Muhammad Reza Z'aba ◽  
Ismail Ahmedy ◽  
...  
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Vehicular Networks
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