NeTS-NOSS: Mobility-assisted Network Deployment and Maintenance

NeTS-NOSS：移动辅助网络部署和维护

• 批准号: 0520305
• 负责人: Gaurav Sukhatme
• 金额: $ 50万
• 依托单位: University of Southern California
• 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: 2005-09-15 至 2008-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0520305&HistoricalAwards=false
• 关键词: NeTS; NOSS; Mobility; assisted; Network

Mobile sensor networks in which some nodes can move (on their own or through the agency of others) combine advanced concepts in perception, communication, and control to create computational systems capable of interacting in meaningful ways with the physical environment. We are motivated by the vision of providing support for communication, monitoring, and surveillance over areas that lack the infrastructure for traditional computation and communication (e.g. protection and monitoring for large geographical areas such as the Alaska pipeline). By deploying a sensor network along such areas (using humans or flying drones) one can maintain a global view of key attributes of the environment. This research focuses on the following three goals within the broad area of synergy between communication and mobility in sensor networks: 1. Deployment - Distributed algorithms for mobility-assisted network deployment with desired topological properties, 2. Mobility-based Topology Control - Distributed algorithms for adaptive self-organization of the network nodes to support desired information flow, and 3. Link-level Communication Modeling - the development and analysis of a suite of localized algorithms that monitor the connectivity properties of the network locally and give global link characterization for the entire network. We expect this research to impact the deployment and maintenance of real-world sensor-actuator networks in the future via a deep understanding of the fundamental problems outlined above. The educational impact of the project will be the creation of a multi-purpose teaching module using the experimental systems developed in the proposed research.

移动传感器网络中的一些节点可以(自己或通过其他节点的代理)移动，它结合了感知、通信和控制方面的先进概念，创建了能够以有意义的方式与物理环境交互的计算系统。我们的动机是为缺乏传统计算和通信基础设施的地区的通信、监测和监视提供支持(例如，对阿拉斯加管道等大片地理区域的保护和监测)。通过在这些区域部署传感器网络(使用人类或飞行无人机)，人们可以保持对环境关键属性的全球视角。在传感器网络通信和移动性协同的大范围内，本研究集中于以下三个目标：1.部署-具有期望的拓扑属性的移动性辅助网络部署的分布式算法，2.基于移动性的拓扑控制-网络节点的自适应自组织以支持期望的信息流的分布式算法，以及3.链路级通信建模-开发和分析一套局部监控网络的连通性属性并给出整个网络的链路特征的本地化算法。我们期待这项研究通过对上述基本问题的深入理解，对未来真实世界传感器-执行器网络的部署和维护产生影响。该项目的教育影响将是利用拟议研究中开发的实验系统创建一个多功能教学模块。