CAREER: Visibility as a Wireless Sensor Network Design Principle

微型嵌入式计算机将收集关于我们的家、我们的城市和我们的星球的实时数据。收集和处理丰富的传感器数据流将改变公共卫生、医学、自然资源管理、科学、工程和灾难应对。但今天，尽管进行了多年的研究和工程设计，这些传感器网络往往无法达到它们的性能目标。数据产量低；网络持续几周，而不是几个月；长时间停机是很常见的。Levis教授提出了一项长期的研究和教育议程，以提高低功率无线传感系统的健壮性、可管理性和可扩展性。此议程背后的主导设计原则是网络可见性。通俗地说，可见性衡量的是用户S识别网络事件(如丢包)原因的能力。研究议程基于对Mote Network(MNet)体系结构的探索、开发和评估，MNet是一个用于传感器网络应用开发和部署的开源协议族和工具包。该协议套件将包括为提高可见性而重新设计的现有主流协议，以及设计最大可见性的新型协议。我们的主要目标是使长寿命的感应器网络更易于部署和维护。我们的第二个目标是将我们学到的经验更广泛地应用到无线网络中。

Tiny, embedded computers will collect real-time data on our homes, our cities, and our planet. Collecting and processing rich streams of sensor data will transform public health, medicine, natural resource management, science, engineering, and disaster response. But today, despite years of research and engineering, these sensor networks often fail to meet their performance goals. Data yields are low; networks last weeks, rather than months; long downtimes are common.Professor Levis proposes a long-term agenda of research and education to improve the robustness, manageability, and scalability of low-power wireless sensing systems. The dominant design principle behind this agenda is network visibility. Described colloquially, visibility measures a user?s ability to identify the cause of a network event, such as a packet drop. We propose to research how to make networks more visible.The research agenda is grounded in the exploration, development, and evaluation of the Mote Network(MNet) architecture, an open-source protocol suite and toolkit for sensor network application development and deployment. The protocol suite will include existing dominant protocols redesigned for improved visibility as well as novel protocols whose designs maximizes visibility. Our principal goal is to make long-lived sensornets significantly simpler to deploy and maintain. Our second goal is to apply our lessons learned to wireless meshes more generally.