NeTS: Small: Collaborative Research: Protocols and Analysis for Predictable Wireless Sensor Networks

NetS：小型：协作研究：可预测无线传感器网络的协议和分析

• 批准号: 1144664
• 负责人: Octav Chipara
• 金额: $ 14.89万
• 依托单位: University of Iowa
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1144664&HistoricalAwards=false
• 关键词: NeTS; Small; Collaborative; Research; Protocols

The next generation of wireless sensor networks will monitor critical infrastructure, collect vital signs from patients, and disseminate medical and planning information during emergency responses. In contrast to earlier wireless sensor networks for which best-effort services were sufficient, such systems require predictable performance and high reliability. Failure to meet these requirements may have significant adverse effects. This project aims at the development of an engineering methodology for predictable wireless sensor networks. A predictable wireless sensor network is a system for which it is possible to check that its requirements are met under reasonable assumptions regarding its workload and network properties. This project enables the development of predictable wireless sensor networks by providing developers with analytical tools to characterize and optimize the performance of sensor network systems. The intllectual merit of the project includes: (i) Statistical methods for assessing the properties of wireless sensor networks and for provisioning resources to achieve robustness in spite of node failures or temporal variations; (ii) Novel transmission scheduling techniques that ensure a system meets its reliability and real-time requirements; (iii) A new schedulability analysis that bounds network capacity and message latencies under realistic interference models; and (iv) A wireless architecture that instantiates proposed transmission scheduling techniques and the schedulability analysis. In terms of broader impacts, this project will help advance our national capability to develop performance-critical wireless systems. The PIs will teach the developed design and analytical techniques as part of wireless sensor network curriculum and share them with the research community through tutorials.

下一代无线传感器网络将监测关键基础设施，收集患者的生命体征，并在应急响应期间传播医疗和规划信息。与早期的无线传感器网络相比，这种系统需要可预测的性能和高可靠性。不符合这些要求可能会产生重大不利影响。该项目旨在开发可预测的无线传感器网络的工程方法。一个可预测的无线传感器网络是一个系统，它是可能的检查，它的要求是符合合理的假设下，其工作负载和网络属性。该项目通过为开发人员提供分析工具来表征和优化传感器网络系统的性能，从而实现可预测的无线传感器网络的开发。该项目的内在价值包括：（i）评估无线传感器网络特性的统计方法，以及在节点故障或时间变化的情况下提供资源以实现鲁棒性的方法;（ii）确保系统满足其可靠性和实时性要求的新型传输调度技术;（iii）一种新的干扰能力分析，在实际干扰模型下限制网络容量和消息延迟;以及（iv）实例化所提出的传输调度技术和可并行性分析的无线架构。就更广泛的影响而言，该项目将有助于提高我们开发性能关键无线系统的国家能力。PI将教授开发的设计和分析技术，作为无线传感器网络课程的一部分，并通过教程与研究社区分享。