Futuristic Communication and Network Technologies: Select Proceedings of VICFCNT 2021, Volume 2 by N. Subhashini & Morris. A. G. Ezra & Shien-Kuei Liaw

Author:N. Subhashini & Morris. A. G. Ezra & Shien-Kuei Liaw
Language: eng
Format: epub
ISBN: 9789811997488
Publisher: Springer Nature Singapore

(5)

where fj(x) is an average value of bias in RF.

For [46], accident detection by deep learning in ODTS is utilized for observing specific parameters such as stop, wrong driving information, and fire. It can detect within 10 s on a freeway [47].

9 Discussion

The work is based on monitoring the hazards that happen in roadways through different methods using IoT technology. The review reflects vehicle tracking using GPS technology and collects the techniques involved in accident detection. The issue in the work spot only monitors the accident, and the location then provides an ambulance in the accident spot and also passes the information to the respective person but navigation to a nearby hospital after the injury is not effective here. Furthermore, multiple sensors working effectively in the area that is enabled in a single module are not enough. To overcome the issues in the previous work enable monitoring the parameters like network coverage versus distance, data quality versus distance and few are involved in V2X communication using LSTM in neural network. Also, the vehicular parameters will be observed, and the application layer of the work which involves autonomous navigation to nearby hospitals can be a workout by trend tech of LPWAN such as LoRa and NB-IoT in the separate phase. The upcoming work makes the system efficient and accurate and also superior to other methods.

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