This research presents a novel technique for image compression and transmission tailored for Vehicular Ad Hoc Networks (VANETs), emphasizing the adaptation of Modulation and Coding schemes (MCS) to suit compression ratio demands contingent on vehicle density around roadside units. Leveraging Discrete Wavelet Transform Low-Low subband (DWT LL), Singular Value Decomposition (SVD), and Linear Programming (LP), the proposed technique dynamically adjusts compression ratios based on vehicular presence. Consequently, it enables simultaneous modulation of MCS and image compression, uniquely customizing images for VANET applications. Compression ratios ranging from 47.01% to 74.1% are achieved, correlating with vehicle density near Roadside units, satisfying size constraints crucial for efficient Infrastructure to Vehicles (I2V) image message dissemination within a 300-meter radius accommodating up to 200 vehicles. This adaptive approach holds promise for delivering image-enhanced public emergency notifications within the transportation sector, offering a viable solution for real-time communication and enhancing situational awareness amidst dynamic vehicular environments.
A conflict of interest exists between alerting the public over cellular communications and ensuring drivers operate vehicles hands-free. Active shooters, criminal pursuits, and kidnappings on our roadways can create dangerous conditions that may lead to fatalities and serious injuries. Thus, sharing suspected criminal images within future vehicular ad-hoc networks may improve transportation safety and help authorities crowdsource feedback for apprehending criminals. We present a novel system allowing broadcasting images of suspected criminals and related vehicle information into the vehicular adhoc network as a public emergency notification system for the population on the road. Image-based public safety messages broadcast from the infrastructure-to-vehicle (I2V) link into the vehicular ad-hoc network on the roadways. Similar studies show issues with bandwidth limitations of the I2V link and ensuring a high packet reception rate (PPR) for vehicle density in multimedia messages. In this work, we transmit images instead of video to mitigate network challenges and increase packet reception probability. We successfully transmit images within the Dedicated Short-Range Communication (DSRC) vehicular ad-hoc network. The results show that the vehicular ad-hoc network can receive traveler information messages with large image payloads even at high vehicle densities. In addition, the proposed system does not negatively affect the PPR of the existing vehicular ad-hoc network.
Intelligent transportation systems (ITS) are being deployed globally to support vehicular safety innovation using wireless communication. The ITS paradigm of vehicle-to-everything communication (V2X) enables vehicles equipped with an on-board unit (OBU) to communicate with a roadside unit (RSU) infrastructure to provide safe intersection movements between similarly equipped vehicles, pedestrians, and animal life. However, the current paradigm relies heavily on the availability of a Global Positioning System (GPS) for ensuring road user safety. In a doomsday scenario where GPS becomes unavailable, collision avoidance services provided through V2X may be rendered unavailable. The proposed solution is to develop a secure and reliable method for V2X nodes to reliably request positioning information from RSUs. The advantages are two-fold: V2X nodes continue to receive positioning information for safety applications and positioning information could be improved during normal GPS operation.
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