NeTS-NOSS: Exploiting Mobility for Information Exchange and Collaborative Decision-Making in Sensor Networks

NeTS-NOSS：利用移动性进行传感器网络中的信息交换和协作决策

• 批准号: 0519824
• 负责人: Parameswaran Ramanathan
• 金额: --
• 依托单位: University of Wisconsin-Madison
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-09-01 至 2009-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0519824&HistoricalAwards=false
• 关键词: NeTS; NOSS; Exploiting; Mobility; Information

The primary goal of the project is to develop the architectures and the algorithms needed to exploit mobility of nodes to enhance the performance of sensor networks. It is based on the premise that mobility can be a major asset for both information exchange and collaborative decision-making in sensor networks. The project envisions a sensor network with four different types of node mobility: (i) no mobility, (ii) uncoordinated mobility, (iii) pre-planned mobility, and (iv) adaptive mobility. Each type of mobility offers a different set of opportunities and challenges with respect to optimizing the bandwidth and energy consumption needed to meet the accuracy requirements of collaborative decision-making. The project will develop adaptive sensing and the associated information exchange strategies to carry out this optimization. The expected results from the project will include: (i) algorithms for a base set of communication patterns needed to efficiently support information exchange in sensor networks, (ii) adaptive algorithms for path planning, data sampling, and information fusion for selected collaborative decision-making problems such as source localization and field estimation, (iii) characterization of latency, energy, bandwidth, and decision accuracy trade-offs in the new algorithms, and (iv) demonstration of the effectiveness of the new algorithms through simulation studies and experimentation with data from a testbed. The expected results have the potential to impact many areas of society including intelligent transport systems, homeland security, medicine, public safety, and environment. Dissemination of the results will occur through publications in conferences and journals and through undergraduate and graduate courses at University of Wisconsin, Madison.

该项目的主要目标是开发利用节点移动性来增强传感器网络性能所需的架构和算法。它基于这样的前提：移动性可以成为传感器网络中信息交换和协作决策的主要资产。该项目设想了一个具有四种不同类型的节点移动性的传感器网络：（i）无移动性，（ii）不协调移动性，（iii）预先计划的移动性，以及（iv）自适应移动性。每种类型的移动性在优化满足协作决策的准确性要求所需的带宽和能耗方面都提供了不同的机遇和挑战。该项目将开发自适应传感和相关的信息交换策略来进行这种优化。该项目的预期结果将包括：（i）有效支持传感器网络中信息交换所需的一组基本通信模式的算法，（ii）用于路径规划、数据采样和选定协作决策的信息融合的自适应算法提出源定位和场估计等问题，(iii) 新算法中延迟、能量、带宽和决策准确性权衡的表征，以及 (iv) 通过模拟研究和实验证明新算法的有效性来自测试平台的数据。预期结果有可能影响社会的许多领域，包括智能交通系统、国土安全、医学、公共安全和环境。结果将通过会议和期刊上的出版物以及威斯康星大学麦迪逊分校的本科生和研究生课程进行传播。