Dynamic Adaptive Wireless Networks with Autonomous Robot Nodes

具有自主机器人节点的动态自适应无线网络

• 批准号: 9979457
• 负责人: Deborah Estrin
• 金额: $ 49.83万
• 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: 1999
• 资助国家: 美国
• 起止时间: 1999-10-01 至 2001-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9979457&HistoricalAwards=false
• 关键词: Dynamic; Adaptive; Wireless; Networks; Autonomous

The Multihop wireless capabilities will enable communication and coordination among autonomous nodes in unplanned environments and configurations. At the same time wireless channels present challenges of dynamic operating conditions, power constraints for autonomously-powered nodes, and complicating interactions between high level behavior and lower level channel characteristics (e.g. , increased synchronized communication will significantly degrade channel characteristics). The major goal of the research is the development, testing and characterization of algorithms for scalable, application driven, wireless network services using a heterogeneous collection of communicating mobile nodes. Some of these nodes will be autonomous (robots) in that their movements will not be human controlled. The others will be portable thus, making them dependent on humans for transportation. While the focus of the work is on the mobile nodes, include immobile computers on the network as well. It emphasize that most (though not all)of the mobile nodes will have modest sensing, computational and communication resources. The collection as a whole is an example of a sensor network. The chief scientific motivation behind the work is the design of robust, efficient and scalable algorithms. The researchers hypothesize that distributed algorithms that rely on local interactions have many compelling characteristics, resulting in these properties. There is significant overlap between the problems of coordinating the autonomous mobile nodes that carry some of the sensors and the algorithms that direct the f ow of information from source(s) to sink(s) in the network. Both setsof algorithms will be carefully designed to improve robustness, effciency and scalability.

多主无线功能将在计划外环境和配置中自主节点之间的通信和协调。 同时，无线通道提出了动态操作条件的挑战，自动动力节点的功率限制以及使高级行为和较低级别的信道特性之间的相互作用复杂化（例如，同步通信增加将显着降低通道特征）。 该研究的主要目的是使用沟通移动节点的非均质收集来进行可扩展，应用程序驱动的无线网络服务的算法的开发，测试和表征。 其中一些节点将是自主（机器人），因为它们的运动不会受到人类的控制。 因此，其他人将是可移植的，使他们依靠人类进行运输。 尽管工作的重点放在移动节点上，但也包括网络上的不动计算机。 它强调，大多数（尽管不是全部）移动节点将具有适度的感应，计算和通信资源。 整个集合是传感器网络的一个示例。 这项工作背后的主要科学动机是设计可靠，高效和可扩展算法的设计。 研究人员假设依赖局部相互作用的分布算法具有许多引人注目的特征，从而产生了这些特性。 协调携带一些传感器的自动移动节点的问题和算法之间存在显着重叠，这些节点携带了一些传感器和算法，这些传感器将信息从源中引导到网络中的水槽。 这两种算法的两种算法都将经过精心设计，以提高鲁棒性，效率和可扩展性。