Prefetching of mobile devices information - a DNS perspective

被引：1

作者：

Bernard, Antoine ^{[1
,2
]}

Laroui, Mohammed ^{[2
,3
]}

Marot, Michel ^{[2
]}

Balakrichenan, Sandoche ^{[1
]}

Moungla, Hassine ^{[2
,3
]}

Ampeau, Benoit ^{[1
]}

Afifi, Hossam ^{[2
]}

Becker, Monique ^{[2
]}

机构：

[1] Afnic, Montigny Le Bretonneux, France

[2] Inst Polytech Paris, Telecom SudParis, Samovar, Paris, France

[3] Univ Sorbonne Paris Cite, Univ Paris Descartes, LIPADE, Paris, France

来源：

IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2022) | 2022年

关键词：

IoT; V2I; V2X; DNS; Prefetching; Machine Learning Prediction; Traffic Prediction; LoRaWAN; Edge Networks;

D O I：

10.1109/ICC45855.2022.9838564

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

The development of vehicular technologies and infrastructures leads to development in mobility handling for wireless communications. Improving connectivity establishment and reliability became an issue, especially for vehicles that may move out of antenna coverage during connection establishment. This paper focuses on improving LoRaWAN connectivity for roaming devices by combining a machine learning predictor and DNS prefetching to gather information necessary for connection establishment before the device comes under coverage, thus reducing the overall latency for connection establishment. The paper also relates to other issues by comparing the solution with other approaches and studying antenna occupation.

引用

页码：4293 / 4299

页数：7

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