SGER: A New Framework for Energy-Efficient and Realtime Data Delivery in Heterogeneous Wireless Sensor Networks
SGER: A New Framework for Energy-Efficient and Realtime Data Delivery in Heterogeneous Wireless Sensor Networks
批准号:
0844829
负责人:
Yingshu Li
金额:
$0.0万
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
项目状态:
已结题
起止时间:
2008-09-01 至 2010-02-28
中文摘要
无线传感器网络具有传感、计算和通信能力,是应急预警系统的理想解决方案。有关当局期望这种系统能预测到立即发出警报。本研究设计、实现并评估了一种节能且实时的数据传输模型,该模型可用于基于无线传感器网络的紧急预警系统。在应急预警系统中应用该数据传递模型,可以实时获取预警信息,延长网络生命周期。与传统的“数据收集”和“数据聚合”方法不同,本研究侧重于对实时预警的严格要求。本文研究了一种更简单的事件检测和报告机制,而不是管理大量的原始数据,这种机制可以减少能耗和通知延迟。除了对实践的影响外,对能耗和通知延迟边界的理论分析在理论方面也有很强的影响。此外,该项目是一个整合研究和教育的起点,目的是吸引本科生和研究生进入无线传感器网络领域。
英文摘要
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.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Collaborative Research: IUSE: EDU: Innovative and Inclusive Undergraduate XR Engineering Education to Cultivate Future Metaverse Workforce
-
批准号:2315596
-
项目类别:Standard Grant
-
资助金额:$19.44万
-
财政年份:2023
-
负责人:Yingshu Li
-
依托单位:
BIGDATA: F: Collaborative Research: Acquisition, Collection and Computation of Dynamic Big Sensory Data in Smart Cities
-
批准号:1741277
-
项目类别:Standard Grant
-
资助金额:$34.64万
-
财政年份:2018
-
负责人:Yingshu Li
-
依托单位:
EAGER: Evaluating the feasibility of Self-Protecting Heterogeneous Wireless Sensor Networks
-
批准号:1052769
-
项目类别:Standard Grant
-
资助金额:$8.39万
-
财政年份:2010
-
负责人:Yingshu Li
-
依托单位:
CAREER: Algorithms for Optimization Problems in Wireless Networks
-
批准号:0545667
-
项目类别:Continuing Grant
-
资助金额:$40.0万
-
财政年份:2006
-
负责人:Yingshu Li
-
依托单位:
海外基金