Signal Detection Techniques in Social Internet of Vehicles: Review and Challenges
Shuangshuang Han, Yi Li, Tianrui Zhang, Yongqiang Bai, Yueyun Chen, Chintha Tellambura · IEEE Intelligent Transportation Systems Magazine · 2024
The Social Internet of Vehicles (SIoV) merges social networking and Internet of Things technologies within the automotive domain, facilitating real-time communication and data sharing among vehicles. Ensuring the dependable transmission of signals in the SIoV is important as it significantly enhances traffic efficiency, safety, and user experience. Signal detection techniques play a vital role in guaranteeing the reliability of various signals, encompassing traffic signals, vehicle statuses, and road conditions, transmitted through diverse vehicle-to-everything (V2X) communication channels. This article initiates by exploring the evolution of vehicle networking, signal transmission scenarios, and network structures within the SIoV. Subsequently, a comprehensive review of signal detection technologies in the SIoV are provided. Furthermore, we discuss the future challenges that pertain to SIoV signal detection techniques. The objective of this article is to provide guidance for the development of SIoV signal detection technologies that provide robust communications in intelligent transportation systems.