Mfon Okpok

(Advisor: Dr. Billy Kihei)

will defend a doctoral thesis entitled:

Audio-Visual Emergency Notification Delivery in Infrastructure-to-Vehicle (I2V)

Dedicated Short Range Communication (DSRC) Vehicular Ad Hoc Networks (VANETs)

On

Wednesday, January 31 at 12:00 PM

Engineering Technology Center, Room Q207

Abstract

This research explored the challenges of multimedia transmission within Dedicated Short-Range Communication (DSRC) Vehicular Ad Hoc Networks (VANETs) and introduced a novel compression technique. This technique addressed transmission bandwidth challenges while capitalizing on available opportunities. The primary goal was to ensure a requisite packet reception rate (PRR), overcoming transmission challenges and facilitating efficient audio-visual data transmission and delivery. A novel compression technique was introduced, combining the Discrete Wavelet Transform Low-Low subband (DWT-LL) with Singular Value Decomposition (SVD), while Linear Programming (LP) dynamically adjusted singular values, aligning the compression process with vehicle density thresholds. This technique achieved remarkable compression ratios of 61.83%, preserving critical image features while dynamically adapting to vehicle density variation without compromising essential safety messages like Basic Safety Messages (BSM). The outcome of this research highlights the superiority of the combined DWT-LL, SVD, and LP approaches, exhibiting exceptional performance in maintaining image quality across various compression levels. The results showcased a high Peak Signal-to-Noise Ratio (PSNR), low Mean Squared Error (MSE), and elevated Structural Similarity Index Measure (SSIM) values in comparison to the contemporary Discrete Cosine Transform (DCT) technique that is mostly used in image compression. This novel approach proved to be well-suited for the transmission of audio-visual data despite the transmission bandwidth challenges in DSRC VANET without sacrificing image quality. This research contributes a refined image compression system tailored for DSRC VANETs, with a particular focus on enhancing applications for public emergency notifications.

Committee

• Dr. Billy Kihei – Kennesaw State University, GA (advisor)
• Dr. Parth Bhavsar – Kennesaw State University, GA
• Dr. Benjamin Klein – Kennesaw State University, GA
• Dr. Robert Baffour – University of Georgia, GA
• Dr. Joaquin Chung – Argonne National Laboratory, IL