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ITR: Information Representation for Cooperation Across Networks

ITR：跨网络合作的信息表示

基本信息

批准号：
0220039
负责人：
Michelle Effros
金额：
$ 40万
依托单位：
California Institute of Technology
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2002
资助国家：
美国
起止时间：
2002-09-01 至 2006-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=0220039&HistoricalAwards=false
关键词：
ITR Information Representation Cooperation Across

项目摘要

ITR: Information Representation for Cooperation Across NetworksWe define cooperation among the nodes of a network to include any activity where the action of a single individual relies on information from other individuals in a shared environment. Using this broad definition, information aggregation in sensor networks, group activities performed by autonomous robotic devices, internet exploration and modeling, and establishment of ad hoc networks are all examples of tasks involving cooperation among the nodes of a network. An essential feature common to cooperative tasks is the need to share information across a distributed system. Thus cooperation requires the flow of information. In environments limited by constraints on power, bandwidth, time, or memory, efficient information flow requires efficient data representation. We are currently studying strategies for efficient information representation in network systems. When we speak of information representation for a network, we consider the network as a whole, asking questions about where information resides in the network, where it is needed, and how to most efficiently represent the information to make it accessible where it is needed. Current topics of investigation include network data compression, functional source coding for networks, and joint source-channel coding for networks.

ITR：跨网络合作的信息表示我们定义网络节点之间的合作，包括单个个体的动作依赖于共享环境中其他个体的信息的任何活动。使用这个广泛的定义，传感器网络中的信息聚合，由自主机器人设备执行的组活动，互联网探索和建模，以及自组织网络的建立都是涉及网络节点之间合作的任务的例子。协作任务的一个基本特征是需要在分布式系统中共享信息。因此，合作需要信息的流动。在受功率、带宽、时间或存储器约束的环境中，高效的信息流需要高效的数据表示。目前，我们正在研究在网络系统中有效的信息表示策略。当我们谈到网络的信息表示时，我们将网络视为一个整体，询问信息在网络中的位置，哪里需要它，以及如何最有效地表示信息以使其在需要的地方可访问。目前的研究课题包括网络数据压缩、网络的函数信源编码和网络的联合信源信道编码。