CSR: Small: System and Network Support for Harvesting-aware Solar Sensor Networks

该奖项是根据2009年《美国复苏和再投资法案》(Public Law 111-5)资助的。许多传感器网络部署在恶劣的地形上，缺乏基础设施，但也需要使用太阳能收集来自我维持运行。收割感知太阳能传感器网络的设计提出了许多系统和网络挑战。从系统的角度来看，设计应该能够在从充足的阳光到非常有限的光线(例如，茂密的森林地区)的广泛动态范围内的能量收集场景下运行。从网络的角度来看，协议栈应该能够适应由于树叶和日常变化而导致的收获率的时空变化。在这个项目中，我们将设计收割感知太阳能传感器网络的系统和网络支持。我们的系统贡献包括使用薄膜电池在微光条件下进行收割的新型传感器平台、高度可变收割条件下的预测性占空比以及处理间歇性断电的轻量级检查点和重启。我们的网络贡献包括针对占空比变化进行了优化的链路层、使用收获感知路径度量的网络层以及可以在不同的收获条件下提供高吞吐量的传输层。我们的教育计划包括通过暑期高中外展计划进行的K-12教学，以及与哈佛森林合作的跨学科REU计划，以部署太阳能传感器网络进行生态监测。

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).Many sensor network deployments are in harsh terrain that lack infrastructure but also need to use solar energy harvesting for self-sustained operation. The design of harvesting-aware solar sensor networks raises numerous systems and networking challenges. From a systems perspective, a design should be able to operate under a wide dynamic range of energy harvesting scenarios, from plentiful sunlight to very limited light (e.g., thickly forested areas). From a network perspective, a protocol stack should be able to adapt to spatio-temporal variability in harvesting rates due to foliage and day-to-day vagaries.In this project, we will design systems and network support for harvesting-aware solar sensor networks. Our systems contributions include novel sensor platforms that use thin-film batteries for harvesting under low-light conditions, predictive duty-cycling under highly variable harvesting conditions, and lightweight checkpointing and restart to handle intermittent loss of power. Our networking contributions include a link layer that is optimized for duty-cycle variability, a network layer that uses harvesting-aware path metrics, and a transport layer can offer high throughput under diverse harvesting conditions.Our educational plans consist of K-12 teaching through a summer high school outreach program, and inter-disciplinary REU programs in collaboration with Harvard Forest for deploying solar-powered sensor networks for ecological monitoring.