SGER: A New Framework for Energy-Efficient and Realtime Data Delivery in Heterogeneous Wireless Sensor Networks

SGER：异构无线传感器网络中节能和实时数据传输的新框架

• 批准号: 0844829
• 负责人: Yingshu Li
• 金额: --
• 依托单位: Georgia State University Research Foundation, Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-01 至 2010-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0844829&HistoricalAwards=false
• 关键词: SGER; New; Framework; Energy; Efficient

Wireless sensor networks that have the capabilities of sensing, computation and communication makean ideal solution for emergency warning systems. Appropriate authorities expect immediate warningspredicted by such systems. This research designs, implements, and evaluates an energy-efficient andreal-time data delivery model which can be employed in wireless-sensor-network-based emergencywarning systems. With the new data delivery model being used in an emergency warning system,warnings can be obtained in real time, and network lifetime can be extended.Different from the traditional 'data collection' and 'data aggregation' methods, this research focuses onthe stringent requirement of delivering warnings in real-time. Instead of managing a large amount ofraw data, a simpler mechanism for event detection and reporting that can reduce energy consumption aswell as notification delay is investigated. In addition to the impact on practice, the theoretical analysison the bounds of energy consumption and notification delay has a strong impact on the theory aspect.Moreover, this project is a starting point to integrate research and education for the purpose ofattracting both undergraduate and graduate students to the area of wireless sensor networks.

无线传感器网络具有感知、计算和通信能力，是应急预警系统的理想解决方案。有关当局希望这些系统能立即发出警告。本研究设计、实作并评估一个能源有效且即时的资料传输模式，可应用于无线感测网路紧急预警系统。与传统的“数据收集”和“数据聚合”方法不同，本文针对突发事件预警系统中对预警信息实时性的严格要求，提出了一种新的数据传输模型，该模型可以实现真实的实时预警，延长网络生命周期。研究了一种简单的事件检测和报告机制，而不是管理大量的原始数据，该机制可以减少能量消耗以及通知延迟。除了对实践的影响外，对能耗和通知延迟的界的理论分析在理论方面也有很强的影响，而且，本项目是一个起点，以整合研究和教育的目的，吸引本科生和研究生到无线传感器网络领域.