Collaborative Research: CNS Core: Medium: Towards Understanding and Handling Problems Due to Coexistence of Multiple IoT Platforms

有超过100个物联网（IoT）平台。 每一个都有自己的优势和局限性。为了充分利用每个平台，智能环境可能会使用多个物联网平台。然而，当多个物联网平台共存于同一物理空间时，会出现许多独特的问题，这些问题被称为多平台共存（MPC）问题。该项目的目标是系统地描述，分类和测量MPC问题，并设计和构建有效的解决方案来解决这些问题。智能环境的多个平台不一定共享关于物联网设备状态的一致观察。因此，安装在这些平台上的自动化应用程序可能会发出不正确甚至冲突的命令。此外，现有工作所做的假设，即单一平台具有对所有物联网设备的完整视图和控制，并不成立。因此，该项目旨在发现，测量和正式化由于同一物理空间中多个物联网平台的共存和交互而产生的独特问题，并提出新颖的设计，技术，算法和构建系统来解决这些问题。该项目可以通过揭示和处理MPC问题并支持物联网平台的和谐共存，使众多智能环境用户和相关行业受益。拟议的研究将纳入课程编制。这些努力将满足国家对物联网专业人员日益增长的需求。该项目将促进来自代表性不足群体的学生参与物联网研究。此外，它将涉及与物联网行业的专业人士合作，以评估系统和技术转让。数据，代码，系统设计，文档和实验结果将通过公开访问的GitHub存储库发布：https://quz105.github.io/MPC/。这个奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

There are over one hundred Internet-of-Things (IoT) platforms. Each has its own strengths and limitations. To get the best of each, a smart environment may use multiple IoT platforms. However, when multiple IoT platforms coexist in the same physical space, many unique problems arise, which are referred to as Multi-Platform Coexistence (MPC) problems. The objectives of the project are systematically to describe, categorize and measure MPC problems and design and build effective solutions to address them.Multiple platforms for a smart environment do not necessarily share consistent observations about IoT device states. As a result, automation applications installed on these platforms may issue incorrect and even conflicting commands. In addition, the assumption made by existing work that a single platform has a complete view and control of all IoT devices does not hold true. Thus, the project is to uncover, measure, and formalize unique problems due to coexistence and interaction of multiple IoT platforms in the same physical space, and propose novel designs, techniques, algorithms and build systems to resolve them. The project can benefit numerous smart-environment users and related industries by revealing and handling MPC problems and supporting harmonious coexistence of IoT platforms. The proposed research will be integrated into curriculum development. These efforts will meet the growing national need for professionals in IoT. The project will promote the participation of students from underrepresented groups in IoT research. Furthermore, it will involve collaboration with professionals from IoT industries for assessment of the systems and technology transfer.Data, code, system designs, documentations, and experiment results will be released through a publicly accessible GitHub repository: https://quz105.github.io/MPC/. The repository will be maintained for at least five years after the project ends.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.