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The automobile currently has a number of processors to control different subsystems such as engine controller, transmission controller, ABS controller, lighting controller, entertainment controller, and airbag controller. These subsystems are connected as a single vehicle network. Different vehicle networks can run under different protocols such as CAN, VAN, SCP, DLC, ACP, and J1939. Controller Area Network (CAN) has become the standard for the automotive industry. However, CAN has limited speed to incorporate new applications, such as invehicle multimedia, entertainment, navigation, and computing. A new technology, Media Oriented Systems Transport (MOST), provides high bandwidth to accommodate such applications.

The widespread deployment of inexpensive communications technology, computational resources in the networking infrastructure, and network-enabled end-devices pose an interesting problem: how does one locate a particular network service or a device out of millions of accessible services and devices? Traditionally, these services are accessed through well-known URLs or retrieved through search engines. However, these results tend to be very general and may not satisfy the requirements of the user. Moreover, the traditional model cannot react to the dynamic changes in service attributes and client parameters. As a solution, a secure directory tool that tracks services in the network and allows authenticated users to locate them through expressive queries can be used. This paper discusses the Next Generation Vehicle Network (NGVN), an architecture based on Java/Jini and Dynamic Discovery Service (DDS) technology.

Over 42,000 deaths have occurred on highways in the United States during calendar year 2002 [1]. One way to achieve a safe highway environment is using a communication system that allows all vehicles on the highway or road to share their data so they can warn each other about dangerous situations and plan for safe driving activities. One problem to be addressed in such a system is dividing the vehicles on the highway into groups-of-interest, where vehicles that may need cooperation among each other to perform safe driving maneuvers comprise a group-of-interest. This paper proposes a location matrix-based algorithm to define the peer space (group-of-interest); that is, vehicles on the highway are encapsulated in matrices, and all maneuvers are planned in a cellular fashion using the Dynamic Service Discovery (DSD) -based Jini protocol as an ad-hoc network communication protocol.

In the near future, vehicles are expected to become a part of the Internet, either as a terminal in a mobile network, as a network node, or as a moving sensor (providing environmental information, cars status, streaming video, etc.) or a combination of the three. This is partly due to the steadily growing interest of vehicles' passengers in location-based information. Drivers and passengers that would want to receive information about traffic jams or accidents in their vicinity will likely be interested in accessing Internet services from within the vehicular network. Access can be gained by using roadside installed Internet Gateways (IGs), which are able to communicate with the vehicles. When the car network is connected to the Internet, it is important for the vehicle to detect available gateways providing access to the Internet. Therefore, a gateway discovery mechanism is required.

With the rapid advances of information technology, including computing, sensing, and communication, engineers are looking for creative approaches to migrate wired system applications into wireless domain. Recently, industry has been exploring the deployment of wireless technologies into harsh environments; it is, however, facing many challenges to accommodate its stringent requirements and applications' constraints. With such a trend towards a wireless world and with the theme of easy-to-upgrade and low cost in-vehicle networks, the idea of wireless in-vehicle multiplexed networks becomes even more attractive. This paper reviews different standard wireless protocols such as IEEE 802.11, IEEE 802.15.1/Bluetooth®, and IEEE 802.15.4/ZigBee®. Afterwards, it discusses the potential role of these protocols in the future in-vehicle wireless network. And finally, it provides a performance evaluation of IEEE 802.15.4/ZigBee for in-vehicle networks.

Today automotive thermal systems development is a joint effort between an OEM and its suppliers. This paper presents a pilot program showing how OEMs and suppliers can jointly develop a reliable and robust thermal system using CAE tools over the internet. Federated Intelligent Product Environment (FIPER) has been used to establish B2B communication between OEMs and suppliers. Suppliers remotely run thermal systems computer models at the OEM site using the FIPER B2B feature.

Vehicles are becoming part of the Internet, either as a terminal in a mobile network, as a network node or as a moving sensor (providing environmental, car status or video information). Interest of vehicles' passengers in location-based information is steadily growing. Moreover drivers and passengers may like to receive information about traffic jams or accidents in their vicinity, or chat with other vehicle's passengers. Enabling communication among automobile nodes (cars) is not a straightforward task. Such nodes form an extremely dynamic ad hoc network, and this presents some technical challenges. One essential characteristic of such networks is that the available services are in principle unknown to a node. A Dynamic Discovery Service (DDS) protocol to discover nodes is needed.