NSF Workshop on Distributed Processing over Cognitive Networks

NSF 认知网络分布式处理研讨会

• 批准号: 0956382
• 负责人: Ali Sayed
• 金额: $ 10万
• 依托单位: University of California-Los Angeles
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-15 至 2010-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0956382&HistoricalAwards=false
• 关键词: NSF; Workshop; Distributed; Processing; over

NSF Workshop on Distributed Processing over Cognitive Networks The emerging interest in cognitive networks, smart grids, and self-organizing networks is motivating heightened research on distributed and collaborative signal processing strategies that enable networks to adapt and respond to information in real-time. Cognitive networks consist of spatially distributed nodes that are linked together through a connection topology. The nodes are generally isotropic without any particular node taking a central control role. The nodes cooperate with each other and adapt their states in response to both local data collected at the nodes and data received from their immediate neighbors. Information arriving at any particular node creates a ripple effect that propagates throughout the network by means of a diffusive process. The diffusion of information results in a form of collective intelligence as evidenced by improved adaptation, learning, tracking, and convergence behavior relative to non-cooperative networks. The purpose of the workshop is to bring together research experts from various modalities to brainstorm on the challenges and opportunities of cognitive networks. The workshop recognizes the high potential for cross-fertilization of ideas among different fields involving signal processing, estimation and algorithms, adaptation, system theory, biological and social sciences, computer science, and economic and public policy. The meeting will provide a forum for researchers to discuss the theory, algorithms, and challenges involved in the development of reliable cognitive networks. The workshop will help define a research agenda for the design of adaptive networks for distributed processing and estimation, and will produce a report that can serve as a guide to the research community. Research considered by the workshop will motivate and support development of enabling technologies for various areas including environmental monitoring, distributed event detection, distributed resource monitoring, distributed estimation and target tracking, cooperation among cognitive radios searching for spectral resources, distributed processing and control over smart grids, contributions to swarm theory, animal flocking behavior theory, etc.

NSF认知网络分布式处理研讨会认知网络、智能电网和自组织网络的新兴趣正在推动对分布式和协作信号处理策略的更高研究，这些策略使网络能够实时适应和响应信息。认知网络由空间分布的节点组成，这些节点通过连接拓扑连接在一起。这些节点通常是各向同性的，没有任何特定的节点扮演中央控制角色。节点相互协作，并响应于在节点处收集的本地数据和从其直接邻居接收的数据来调整其状态。到达任何特定节点的信息都会产生涟漪效应，通过扩散过程在整个网络中传播。信息的传播导致了集体智能的形式，相对于非合作网络，改进的适应、学习、跟踪和收敛行为证明了这一点。研讨会的目的是将来自不同方式的研究专家聚集在一起，就认知网络的挑战和机遇进行集思广益。讲习班认识到在涉及信号处理、估计和算法、适应、系统论、生物和社会科学、计算机科学以及经济和公共政策的不同领域之间交流思想的潜力很大。会议将为研究人员提供一个论坛，讨论开发可靠认知网络所涉及的理论、算法和挑战。讲习班将帮助确定设计用于分布式处理和估计的自适应网络的研究议程，并将编写一份可作为研究界指南的报告。研讨会审议的研究将推动和支持多个领域使能技术的发展，包括环境监测、分布式事件检测、分布式资源监测、分布式估计和目标跟踪、搜索频谱资源的认知无线电之间的合作、智能电网的分布式处理和控制、对群体理论的贡献、动物集群行为理论等。