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.

多跳无线功能将使自主节点之间的通信和协调在计划外的环境和配置。 与此同时，无线信道提出了动态操作条件的挑战、对高功率节点的功率约束、以及高级行为与较低级别信道特性之间的复杂交互（例如，增加的同步通信将显著地降低信道特性）。 该研究的主要目标是开发，测试和表征的算法可扩展的，应用程序驱动的，无线网络服务使用的通信移动的节点的异构集合。 这些节点中的一些将是自主的（机器人），因为它们的运动将不受人类控制。 其他的将是便携式的，因此，使他们依赖于人类的运输。 虽然工作的重点是移动的节点，但也包括网络上的非移动的计算机。 它强调大多数（虽然不是全部）的移动的节点将有适度的传感，计算和通信资源。 整个集合是传感器网络的一个例子。 这项工作背后的主要科学动机是设计健壮，高效和可扩展的算法。 研究人员假设，依赖于本地交互的分布式算法具有许多引人注目的特征，从而导致这些属性。 在协调携带一些传感器的自主移动的节点的问题与引导网络中的信息流从源到汇的算法之间存在显著的重叠。 这两套算法将被精心设计，以提高鲁棒性，效率和可扩展性。