Project View

An Integrated Intra-Vehicle Wireless Sensor Network

Principal Investigator: Dr X. Peng, Aston University

Sponsor: Jaguar Land Rover



In a modern vehicle, the number of sensors and their associated electronic control units (ECUs) is rapidly increasing for monitoring, driving control and communication purposes. Traditional wired connections linking up these sensors and ECUs impose various kinds of constraints on improving driving and cost performances. Replacing wires with wireless connection can significantly benefit the development of new generation cars, including savings on parts, improving fuel efficiency, and promoting fully autonomous driving. Wireless sensor networks (WSNs) have been extensively investigated and found many applications. However, there are still a number of unaddressed issues with regard to the feasibility and maturity of a full deployable WSN in personal vehicles to replace wired connected sensor systems. The research will investigate the complex channel characteristics for wireless communications and networking within and around a vehicle and develop new protocols and algorithms that ensure the required performance on reliability, robustness and efficiency to be achieved. In addition, it is also intended to integrate these protocols and algorithms to build a robust intra-vehicle wireless sensor network and enhance user experience in safety and comfort. The research will be carried out at Aston University in collaboration with the leading automotive industry Jaguar Land Rover.



* Obtaining measurements of wireless channels in various areas inside and around vehicles and in the presence of mechanical vibration, heat stress and EMI, to construct channelsí time variation, spectrum property and power delay profiles, for UWB and other unlicensed frequency bands.

* Establishing a testbed and associated simulation models for channel capacity and path loss in multipath communications and multisource interference environments based on the channel measurements to estimate transmission performance such as reliability, efficiency, latency and interference.

* Examining transmission performance of various wireless communications protocols currently available, such as Bluetooth, Wi-Fi and Zigbee, associated with different vehicle types, mobility status of the vehicle and its occupants.

*†† Developing adaptive cooperative communication protocols and erasure coding algorithms to create diversity, mitigate interference (RF, EMI), and ensure the robustness of data transmission in the volatile intra-vehicle environment.

*†† Designing physical (PHY), media access control (MAC) and transport protocols for an intra-vehicle wireless sensor network, enabling cooperative communications, scheduling, rate adaptation, error/loss control and power control to effectively govern transmission reliability, delay, packet loss and energy consumption.