SII: Lebesgue Estimation for Minimizing Power Consumption in Ad Hoc Sensor Networks

SSI：Lebesgue估计最大限度地减少在Ad Hoc传感器网络的功耗（建议号0427976）摘要-这种传感器的建议侧重于发展一种新型的状态估计器（最佳观察员），最大限度地减少无线传感器网络的实时反馈控制系统的功率要求。在优化传感器网络协议以最小化功率需求方面有相当多的工作正在进行中。注意，无线传感器装置中消耗的大部分功率与执行通信传输事件相关联。本研究旨在确定一种方法，使通信事件的发生率最小化，每个消息的数据内容最小化，同时确保所得到的状态估计不超过指定的错误要求。本研究的智慧价值在于将一个连续时间与连续状态的模型转换成一个非周期离散时间与非均匀离散状态系统。本研究将在广义半马尔可夫过程的框架内，开发分析和设计状态估计器作为随机时间自动机的方法。这项研究的广泛影响是为阿肯色州大学的无线传感器网络实验室奠定基础。本实验室是针对智能交通系统在整个高速公路基础设施和机动车辆的引入特设传感器网络的预期。在推广到K-12学生，该实验室通过明确展示如何利用技术来提高安全性，减少拥堵和改善空气质量，提高了年轻人对工程职业的认识。此外，研究结果将有助于开发先进的防撞和交通管制系统。

SSI: Lebesgue Estimation for Minimizing Power Consumption in Ad Hoc Sensor Networks (Proposal No. 0427976)Abstract- This sensor proposal focuses on the development a new type of state-estimator (optimal observer) that minimizes the power requirements of wireless sensor networks employed in real-time feedback control systems. There is considerable ongoing work in optimizing sensor network protocols for minimizing power requirements. It is noted that most of the power consumed in a wireless sensor device is associated with executing a communication transmission event. This research seeks to determine a method whereby both the occurrence of communication events is minimized and the data content of each message is minimized while ensuring that the resulting state estimate does not exceed a specified error requirement. The intellectual merit of this research is in transforming a continuous-time and continuous-state model for the plant into a non-periodic discrete-time and non-uniform discrete-state system. The research will develop methods for analyzing and designing state estimators as stochastic timed automata within the framework of generalized semi-Markov processes. The broader impact of this research is setting the foundation for a wireless sensor network laboratory at the University of Arkansas. This laboratory is directed towards intelligent transportation systems in anticipation of the introduction of ad hoc sensor networks throughout highway infrastructure and motor vehicles. In outreach to K-12 students, the laboratory elevates the awareness of engineering careers to young people by showing explicitly how technology can be employed to increase safety, reduce congestion, and improve air quality. Additionally, the results will aid in the development of advanced collision avoidance and traffic regulation systems.