Wireless Networks for the Next Generation Vehicles

Balas, Cristian, Utayba Mohammad, Mahmoud Haidar, and Nizar Al-Holou

With the rapid advances in automotive electronics, new doors have been opened for innovative ideas in the automotive industry. Adding new entertainment features, improving the vehicle safety, reducing the overall vehicle cost, and improving the vehicle‟s fuel efficiency, are a few examples of the tackled challenges in this domain. The wireless technology is one of the new generation promising tools that have been spreading in the automotive industry domain recently. This research investigates deploying the wireless technology in the automotive industry at two levels: first, at the Intra-Vehicle level, and second, at the Inter-Vehicle level.

In wireless Intra-vehicle networks all control nodes inside the vehicle communicate among each other wirelessly, replacing the conventional wired multiplexing communications such as LIN, CAN, single wire CAN…etc., hence allowing for a flexible vehicle design, and a low cost network construction (no wires and no harnesses). At the inter-vehicle wireless network level, vehicles will be able to share information and services among each other. This type of networks is of a great importance for military. Inter-vehicle networks will enable our military vehicles to communicate their status, observations and their different sensor measurements in a seamless way. Moreover, it will enable the command center to access all vehicles status information, so they can allocate the necessary logistic support as needed in timely manner. With the combination of inter-and intra- vehicle network, the command center will be able to monitor and equip vehicles remotely with different type of sensors as the need arises in a timely manner.

This research develops a wireless intra-vehicle plug and play sensor network and a wireless inter-vehicle network to achieve a full flexible wireless communication system that provides the tools for a collaborative vehicle driving scenarios and full remote diagnosis of each vehicle.

ACKNOWLEDGMENTS

This work was funded by the US Army Tank Automotive Research Development Engineering Center (TARDEC). Contract DAAD19-02-D-0001