本文为美国肯尼索州立大学（作者：Amir R. Atabekov）的硕士论文，共111页。

物联网（IoT）是一个新兴的研究领域，在计算机科学领域获得了广泛的应用。毫无疑问，随着智能恒温器、医用可穿戴设备、联网自动售货机等的出现，物联网将使我们的生活更加轻松。

物联网的一个重要研究方向是资源管理系统（RMS）。在目前的RMS研究状况下，很少有研究利用了室内定位功能，然而这是非常有价值的，尤其是在智能教室的背景下。例如，可以使用室内定位动态生成教室中学生的座位图。室内定位并不是RMS中唯一没有深入研究的概念。

另一个有价值的建议是将教室座椅视为“智能”设备，它可以向云数据存储报告其占用情况、用户信息和占用时间。由压力传感器、射频识别读卡器、无线通信、室内定位和移动应用程序组成的互联智能座椅可作为教师和其他相关者的强大工具。

在本论文中，我们提出了一个完整的智慧教室系统，由智慧座椅、节点、云端存储和安卓应用程序组成。室内定位的实施是一项具有挑战性和复杂性的任务，此外，由于GPS芯片不能在室内使用，因此必须使用更具挑战性的技术。我们开发了一个特殊的协议来处理智能座椅与主节点之间的数据流通信。最后，我们对系统进行了评估，并开发了专门的算法，以提高智能教室环境下室内定位的准确性。

Internet of Things (IoT) is a novel paradigm that is gaining ground in the Computer Science field. There’s no doubt that IoT will make our lives easier with the advent of smart thermostats, medical wearable devices, connected vending machines and others. One important research direction in IoT is Resource Management Systems (RMS). In the current state of RMS research, very few studies were able to take advantage of indoor localization which can be very valuable, especially in the context of smart classrooms. For example, indoor localization can be used to dynamically generate seat map of students in a classroom. Indoor localization is not the only concept which was not thoroughly researched in RMS. Another valuable proposition is to treat physical chairs as “smart” devices, which can report their occupancy, user information, and duration of presence to a cloud data store. Interconnected smart chairs consisting of pressure sensors, RFID readers, wireless communication capabilities, indoor localization and useful mobile application can serve as a powerful tool for instructors and other stakeholders. In this thesis we propose a complete smart classroom system consisting of smart chairs, anchor nodes, cloud storage and Android application. Implementation of indoor localization is a challenging and intricate task. Furthermore, since GPS chips cannot be used indoors, different and more challenging techniques have to be used. We developed a special protocol to handle communication and data flow of localization between smart chairs and the master node. Finally, the system was evaluated and special algorithm was developed to improve the accuracy of indoor localization in the context of smart classroom.

1 引言

2 文献回顾

3 相关技术与准备工作

4 本文提出的系统

5 技术挑战

6 系统设计

7 性能评估

8 结论

附录A/B Arduino源码

附录C 网络服务源码 

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