Title
Anomaly Detection for Discovering Performance Degradation in Cellular IoT Services
Abstract
Connected and automated vehicles (CAVs) are envisioned to revolutionize the transportation industry, enabling autonomous processes and real-time exchange of information among vehicles and infrastructure. To safely navigate the roadways, CAVs rely on sensor readings and data from the surrounding vehicles. Hence, a fault or anomaly arising from the hardware, software, or the network can lead into de...
Year
DOI
Venue
2021
10.1109/LCN52139.2021.9524931
2021 IEEE 46th Conference on Local Computer Networks (LCN)
Keywords
DocType
ISSN
Degradation,Navigation,Transportation industry,Predictive models,Throughput,Software,Real-time systems
Conference
0742-1303
ISBN
Citations 
PageRank 
978-1-6654-1886-7
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Dimitar Minovski121.37
Christer Ahlund2536.74
Karan Mitra316917.84
Irina Cotanis400.34