CSR---EHS: Multi-Frequency in Wireless Sensor Networks

无线传感器网络(WSN)是一项令人振奋的新技术，应用于环境监测、农业、医疗保健、智能建筑、工厂监控和自动化以及军事应用。无线传感器网络也可以被视为未来无处不在的嵌入式计算应用程序不可或缺的底层基础设施。在5-10年内，(I)许多单独的无线传感器网络将非常复杂，并以高水平的利用率运行，(Ii)将存在数千个传感器网络，如果不是数百万个的话。当后一种情况出现时，可以预期无线传感器网络将重叠和共存，特别是在城市和其他人口稠密的地区。移动网络将通过其他静态和移动网络。为了应对这些情况，需要高效的多频率无线传感器网络系统。本项目从两个互补的维度开发了一套新的多频率无线传感器网络协议：(1)在单个无线传感器网络中同时实现广播和单播通信的高性能；(2)处理由随机发射设备或附近传感器网络等任何原因引起的噪声和频谱拥挤。这项研究的智能目标是从根本上开发新的协议，以便高效地动态处理网络内和网络之间的频率分配。如果成功，这项研究将为复杂、高工作负载的传感器应用提供出色的吞吐性能。无线传感器网络还将对噪声和拥挤的频谱等条件具有健壮性。最终结果将提高普适计算和嵌入式系统应用的整体性能，例如嵌入辅助生活设施中的无线传感器网络，从而改善患者的生活方式和健康。

A wireless sensor network (WSN) is an exciting new technology with application to environmental monitoring, agriculture, medical care, smart buildings, factory monitoring and automation, and military applications. A WSN can also be viewed as the underlying infrastructure that will be an integral to future ubiquitous and embedded computing applications. In 5-10 years, (i) many individual WSN will be very sophisticated and operating at high levels of utilization, and (ii) there will exist many thousands if not millions of sensor networks. When the latter situation materializes, WSNs can be expected to overlap and co-exist, especially in urban and other highly populated areas. Mobile networks will pass through other static and mobile networks. To deal with these scenarios will require efficient multi-frequency WSN systems.This project develops new suites of protocols for multi-frequency WSN along two complementary dimensions: (1) to achieve high performance for both broadcast and uni-cast communications within a single WSN, and (2) to handle noise and the crowded spectrum caused by any reason such as by random transmitting devices or by other nearby sensor networks. The intellectual objectives of this research are fundamentally new protocols that must be developed to efficiently and dynamically handle frequency assignment within and across networks. If successful, this research will yield excellent throughput performance for sophisticated, high workload sensor applications. The WSN will also be robust to conditions such as noise and a crowded spectrum. The end result would improve overall performance of ubiquitous computing and embedded systems applications, such as WSNs embedded in assisted living facilities, improving both the lifestyle and the health of patients.