NOSS: Ultra-Wideband Sensor Networks for Automotive Vehicles

传感器通信一直是汽车的瓶颈。提高汽车的安全性、可靠性、燃油经济性、降低排放、降低成本对汽车行业来说至关重要。功能强大的电子控制单元以及相关的分布式传感器和执行器已被引入。要求从传统的有线传感器到无线传感器的革命性变化，以提高车辆的性能，减轻车辆的重量和成本。本课题采用多学科、跨层的研究方法，发展超宽带车载传感器网络的理论和方法。对于由50个关键任务传感器和50个非关键任务传感器组成的车载传感器网络，考虑信道传播统计和多址干扰，将建立报文检测理论。将制定方法来实现检测阶段的丢包率。多信道直接序列扩频ALOHA UWB传感器网络将制定可靠的MAC协议，以保证最大时延为ms，消息失败概率为车内非视距信道的消息传递。在考虑UWB信道传播效应和发射功率不确定性的情况下，对网络性能进行了分析，包括消息吞吐量、丢包率和误码率。将使用跨层方法设计和构建UWB车载传感器网络试验台，以实现实时控制和计算。该项目有助于降低车载传感器通信的零部件成本，提高燃油经济性、可靠性和安全性。学生将接受通信、网络、实时操作系统和嵌入式系统编程方面的培训。

Sensor communications has been a bottleneck in automotive vehicles. It is extremely important for the automotive industry to improve vehicle safety, reliability, fuel economy, reduce emissions and cost. Powerful electronic control units and the associated distributed sensors and actuators have been introduced. Revolutionary changes from the conventional wired sensors to wireless sensors are required to improve vehicle performance, reduce vehicle weight and cost. This research project undertakes a multidisciplinary and cross-layer approach to develop UWB intra-vehicle sensor network theory and methods. Packet detection theory will be established considering channel propagation statistics and multiple access interference for an intra-vehicle sensor network consisting of 50 mission critical sensors and 50 non-mission critical sensors. Methods will be developed to achieve the packet loss rate of in the detection stage. Reliable MAC protocols will be developed for multi-channel direct-sequence spread spectrum ALOHA UWB sensor networks to guarantee that the maximum delay is ms and the probability of message failure is for message delivery through non-line of sight intra-vehicle channels. Network performance will be analyzed including message throughput, packet loss rate and BER in the presence of multiple access interference considering UWB channel propagation effects and transmission power uncertainty. A UWB intra-vehicle sensor network testbed will be designed and built using cross-layer approaches for real time control and computing. This project can help to reduce the parts cost for intra-vehicle sensor communications and improve fuel economy, reliability and safety. Students will be trained in communications, networks, real-time operating systems and programming in embedded systems.