MRI:Acquisition of an Experimental Testbed for Research and Teaching in Mobile Collaborative Agents

MRI：获取用于移动协作代理研究和教学的实验测试台

• 批准号: 0420793
• 负责人: Sanjeev Setia
• 金额: $ 17.5万
• 依托单位: George Mason University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-09-01 至 2008-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0420793&HistoricalAwards=false
• 关键词: MRI; Acquisition; Experimental; Testbed; Research

This work, supporting one large project on mobile, collaborative, agent-based computing, builds testbeds for a variety of research activities centered around sensor networks, and ties together robotics, wireless sensor networks, and distributed computing. The project, composed of smaller projects on distributed robotics and computer vision, distributed sensor networks, and distributed agent computing, enables both an increase in simulation capability and experimental work to validate these simulations. The robotics and vision project seeks to enable new modes of communication between distributed agents, new techniques for context-aware recognition of people and events, and scalable means for simulating multi-agent learning. The mobile ad-hoc/sensor network project examines data fusion and in-network processing of sensor information with an application of target tracking and surveillance using heterogeneous sensors, exploring security issues related to data injection attacks in the networks (LEAP) and energy management issues related to employing different techniques for power saving. Additionally, the research involves a project on distributed, mobile agent software. The research activities that will benefit from the proposed infrastructure include projects on Distributed robotics involving teams of heterogeneous agents Distributed visual observers, Swarm agents, Multiagent learning, Security protocols for wireless sensor networks, Distributed surveillance using mobile robots and sensor networks, Light-weight agent architectures, Agent-based multicasting for distributed virtual environments, and Dynamic reconfiguration and middleware for mobile software agents.Broader Impact: The infrastructure supports undergraduate and graduate courses on robotics, sensor networks, computer vision, and multi-agent technology, helping spawn student learning and interest in these areas of technology. The results and the software developed will be disseminated to the wider community. Fourteen faculty members will contribute to enhance collaborations with other institutions to address critical problems such as homeland security, healthcare, home and factory automation, disaster recovery, and environmental and infrastructure monitoring.

这项工作，支持一个大型项目的移动的，协作，基于代理的计算，建立各种研究活动围绕传感器网络的测试平台，并结合在一起的机器人，无线传感器网络和分布式计算。该项目由分布式机器人和计算机视觉，分布式传感器网络和分布式代理计算的小型项目组成，能够增加仿真能力和实验工作来验证这些仿真。 机器人和视觉项目旨在实现分布式代理之间的新通信模式，用于人和事件的上下文感知识别的新技术，以及用于模拟多代理学习的可扩展方法。该移动的ad-hoc/传感器网络项目研究数据融合和网络中的传感器信息处理的目标跟踪和监视使用异构传感器的应用程序，探索相关的网络中的数据注入攻击（LEAP）的安全问题和能源管理问题，采用不同的节能技术。此外，研究涉及一个项目的分布式，移动的代理软件。将从拟议的基础设施中受益的研究活动包括分布式机器人技术项目，包括异构代理团队分布式视觉观察员，Swarm代理，Multiagent学习，无线传感器网络的安全协议，使用移动的机器人和传感器网络的分布式监视，轻量级代理架构，分布式虚拟环境的基于代理的多播，更广泛的影响：该基础设施支持机器人、传感器网络、计算机视觉和多智能体技术方面的本科生和研究生课程，有助于激发学生对这些技术领域的学习和兴趣。研究结果和开发的软件将向更广泛的社区传播。14名教师将致力于加强与其他机构的合作，以解决国土安全，医疗保健，家庭和工厂自动化，灾难恢复以及环境和基础设施监测等关键问题。