## 1 Introduction  
By virtue of its versatility and utility convenience, mobile wireless communication has now become a necessity. Over the years, different technologies have been developed to increase the data rate in wireless networks. Technologies like WiMAX (Worldwide Interoperability for Microwave Access) and 3G/4G devices can support 100 Mbps per data channel [1], and LTE (Long Term Evolution) can go as high as 200 Mbps. This has created room for different types of applications in different specialties. Users have come to desire not only the basic voice functionality of wireless devices, but also different forms of mobile multimedia communication. Video communication via a VANET (Vehicular Adhoc NETwork) is one such application. Safety and environmental issues in managing existing road networks have become one of the greatest concerns of both the automotive industry and governmental bodies. A VANET consisting of clusters of vehicles communicating with each other and also with roadside infrastructure can provide a solution to these issues. Telematics for the telecommunications of safety information is one major tool used in this area. Progressively, sharing real-time driving video traffic among vehicles and roadside infrastructures would be the next natural step to enhance the safety feature. One motivation of this paper comes from the statistics of road traffic fatalities which shows that there were 44,192 accidental deaths in Canada from the years 2000 to 2004 [2]. California, with a population of 37 million people reports, one million vehicle accidents each year [3]. The increase in road traffic volume over the years has led to a concern among researchers to create an effective, efficient and safe automotive environment with the help of video communication. One example is the \"smart car\" in the state of Nevada which, as a first step towards this goal, uses video to assist hands-free driving. Unlike other wireless environments that are mostly stationary or under slow motion, transmitting video signals in a VANET poses more challenges to resolve. Electromagnetic interferences such as those from engine electronics, from Additive White Gaussian Noise, or those due to weather conditions can affect the QoS (Quality of Service) as seen by a wireless user. Since the topology is constantly changing, a vehicle could move out of sight to cause an outage in data transmission. Obstacles along LOS (Line of Sight) communication are another major reason to cause an outage. Finally, packet loss due to data traffic congestion will definitely make things worse, and communication disruptions may become inevitable. Understanding the characteristics of real-time video would allow the design of efficient real-time transmission/transportation protocols to address the above challenges and to allow us to carry out further study. There has been continuous and extensive work on VBR video from various specific video sources, (e.g., from video conferencing cameras, web cameras, broadcast TV or HDTV [4, 5], and non real-time processing/storage of data taken from the cameras installed in a real public safety law enforcement car system [6]. However, images from a vehicular camera have higher activity around all edges than the middle portion. This is very different from a normal camera constructed for stationary scenarios, and can be addressed/utilized in the design of video communication. So far, we are not aware of any comprehensive study related to real-time driving video traffic originating in the actual vehicle camera, such as GV1500 from GenieView Inc. [7]. Furthermore, all these prior arts focus on the modeling of separate and independent video traffic before the wireless networks, and there is no work done on the video model of the traffic coming out of a wireless link, as will be needed in our later study of highway video through a VANET. Higher layer protocols are usually required to support various video applications.