Deep learning neural networks-based traffic predictors for V2X communication networks. [PDF]
Magdy Saady M +6 more
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Enhancing smart city mobility through real time explainable AI in autonomous vehicles. [PDF]
Malik AZ +7 more
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Security for the Internet of Vehicles with Integration of Sensing, Communication, Computing, and Intelligence: A Comprehensive Survey. [PDF]
He C +5 more
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Secure TPMS Data Transmission in Real-Time IoV Environments: A Study on 5G and LoRa Networks. [PDF]
Niranjan DK, Supriya M, Tiberti W.
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The Australian and New Zealand Massive Transfusion Registry: An innovation focusing on data collection, standardisation and interoperability between healthcare systems. [PDF]
Sparrow RL +7 more
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Hierarchical optimization control strategy of hybrid electric vehicle platoon under communication failure. [PDF]
Wang J +8 more
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A lightweight certificateless aggregate signature scheme without pairing for VANETs. [PDF]
Yue Q, Jiang W, Lei H.
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Automobiles provide wireless or WiFi based link-enabled communications to other vehicles or infrastructures.
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Channel Modeling for V2V Communications
2006 Third Annual International Conference on Mobile and Ubiquitous Systems: Networking & Services, 2006In this paper we describe results of a channel measurement campaign for modeling the V2V channel. After review of applications, potential frequency bands, and related work, we describe the measurements and results for delay spreads and multipath component fading amplitudes and correlations, made in multiple V2V environments.
David W. Matolak +2 more
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Characterizing Urban V2V Link Communications
2020After enhancing the communication performance at the MAC layer, in this chapter, we investigate the vehicular link layer performance, which is of paramount importance for reliable message exchanging. However, with limited literature available, there is a lack of understanding about how IEEE 802.11p based DSRC performs for V2V communications in urban ...
Feng Lyu, Minglu Li, Xuemin Shen
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