NeTS - NOSS: Reality-Aware Sensor Network Protocols

摘要：与传统传感器网络相比，无线传感器网络(WSN)具有两个关键优势：可快速部署和提供细粒度感知。然而，许多建议的解决方案使用了关于无线通信和环境的简化假设。虽然目前的许多解决方案在模拟中工作得很好，但要么未知这些解决方案在现实世界中是如何工作的，要么它们在实践中表现得很差。我们的目标是：(I)评估无线通信的理论属性如何在今天和未来的设备上展示；(Ii)建立通信现实的模型，以反馈到改进的模拟工具中；(Iii)发明在现实世界环境中工作的新网络协议；以及(Iv)将新的解决方案综合为一个完整的系统范围的协议栈，用于实际应用。我们的工作有助于理解当前和未来设备的局限性，并创建可行的、可部署的系统。我们的工作还衍生出了新的基本模型。我们工作的预期结果是，现实的无线传感器网络可以部署在农业、环境科学应用和应急响应系统中。这些系统可以为社会带来真正的好处，例如，更高效地生产粮食，保护流域地区的环境，以及在应对自然灾害时拯救生命。通过SourceForge传播WSN软件使其他团队能够在我们的工作基础上构建应用程序。我们的模拟模型的传播为我们的研究提供了放大效应。新课程使研究生和本科生能够接触到新的无线传感器网络技术。

Abstract: Wireless sensor networks (WSN) have two key advantages over more traditional sensor networks: they can be quickly deployed, and can provide fine-grained sensing. However, many of the proposed solutions use simplifying assumptions about wireless communication and the environment. While many of these current solutions work well in simulation, it is either unknown how the solutions work in the real world or they can be shown to work poorly in practice. Our objectives are to: (i) Assess how the theoretical properties of wireless communication are exhibited in today's and tomorrow's devices, (ii) Establish models of communication realities to feed back into improved simulation tools, (iii) Invent new network protocols that work in real world environments, and (iv) Synthesize novel solutions into a complete system-wide protocol stack for real applications. Our work contributes to an understanding of the limitations of current and future devices and creates viable, deployable systems. New fundamental models are also derived from our work. The expected results of our work are that realistic wireless sensor networks can be deployed in agriculture, environmental science applications, and for emergency response systems. These systems can provide true benefits to society, e.g., more efficient production of food, environmental protection of watershed areas, and saving lives in response to a natural disaster. Dissemination of WSN software through SourceForge enables other groups to build applications on top of our work. Dissemination of our simulation models provides an amplification effect of our research. New courses make novel WSN technologies accessible to graduate and undergraduate students.