4.6 Article

Traffic Aware Data Gathering Protocol for VANETs

期刊

IEEE ACCESS
卷 10, 期 -, 页码 23438-23449

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2022.3154780

关键词

Protocols; Real-time systems; Data collection; Delays; Vehicle dynamics; Vehicular ad hoc networks; Urban areas; Data gathering protocol; intelligent transport systems (ITS); internet of vehicles (IoV); real-time protocol; VANETs

资金

  1. University College Dublin, Ireland

向作者/读者索取更多资源

Vehicular Ad-Hoc Networks (VANETs) is an active research area with diverse applications. This paper proposes a real-time traffic-aware data gathering protocol that utilizes dynamic segmentation switching to handle communication limitations and reduce network and data communication overhead.
Vehicular Ad-Hoc Networks (VANETs) are a challenging yet active research area. It offers a wide range of applications, including Intelligent Transport System (ITS), effective road traffic monitoring, efficient traffic flow and road safety applications. During real-time data gathering for emergency scenarios, the fixed silent segments cause a problem for smooth communication. Moreover, the critical ITS operations may be delayed due to this problem. This paper proposes a Real-Time Traffic-Aware Data Gathering Protocol (TDG) where the dynamic segmentation switching is adopted to handle the communication limitations. TDG is lightweight and dynamically designed for collecting and forwarding data packets based on current and rapid evolving traffic conditions. The primary objective is to reduce network and data communication overhead to incorporate real-time data collection time constraints. TDG implements a data aggregation scheme for data analysis to fetch information based on location, speed, vehicle id and neighbour count. Moreover, a data extraction scheme is implemented to increase data retrieval and data utilization effectiveness in an intelligent way at the base station. Extensive simulation and evaluation results validate that our proposed solution outperforms existing data gathering protocols in effectiveness, efficiency, delay, communication overhead and data transmission rate.

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