CSR-EHS:Architecture and Design Tools for Software Defined Acoustic Modem

水产研究界正在迅速为生态场所配备各种传感器和仪器。 然而，水生传感网络的发展远远落后于陆地传感网络。 人们普遍认识到，需要一种低成本、低功耗的无线电设备来推进水下传感器网络的发展。 遗憾的是，很少有开放式结构、低功耗和低成本的水声调制解调器。 本项目着眼于无线水下通信的替代硬件平台。 可重新配置的设备将用于创建软件定义的声学调制解调器（SDAM）？为未来几代陆地通信提出了软件定义无线电的水下对应物。 SDAM可以远程编程，从而实现自适应传感功能和网络变化，而无需物理检索设备。 由于通信协议被编程到调制解调器中，因此同一个SDAM板可以用于各种不同的水下环境。 最终目标是开发一个原型SDAM，使用可重新配置的设备进行物理层处理。 这需要仔细设计系统架构，该系统架构可以与传感器通信，与声学换能器接口，有效地计算物理层算法，并为网络堆栈的其余部分提供服务。 该项目的更广泛的影响集中在将嵌入式和可重构计算系统纳入课程材料中，以及将SDAM用于生态研究，从而能够长期了解许多生态过程，包括环境退化和气候变化对沿海和湖泊生态系统的影响。

The aquatic research community is rapidly equipping ecological sites with a broad range of sensors and instruments. However, the development of aquatic sensing networks is significantly lagging terrestrial counterparts. It is widely recognized that an aquatic counterpart to low cost, low power, wireless radios is needed to advance the state-of-the-art in underwater sensor networks. Unfortunately, there are few open-architecture, low power and low cost underwater acoustic modems. This project looks at an alternative hardware platform for wireless underwater communication. Reconfigurable devices will be used to create a software defined acoustic modem (SDAM) ? the underwater counterpart to software defined radios being proposed for future generations of terrestrial communications. The SDAM can be remotely programmed, which enables adaptive sensing capabilities and changes to the network without physically retrieving the device. Since the communication protocol is programmed into the modem, the same SDAM board can be used for a variety of different underwater environments. The ultimate goal is to develop a prototype SDAM that uses a reconfigurable device for physical layer processing. This requires careful design of a system architecture that can communicate with the sensors, interface with acoustic transducer(s), efficiently compute physical layer algorithms, and provide services to the rest of the network stack. The broader impacts of this project center around the incorporation of embedded and reconfigurable computing systems into course material, and the use of the SDAM for ecological research, which enables long-term understanding of many ecological processes, including the effects of environmental degradation and climate change on coastal and lake ecosystems.