ITR: Information Representation for Cooperation Across Networks

ITR：跨网络协作的信息表示我们将网络节点之间的协作定义为包括单个个体的行动依赖于共享环境中其他个体的信息的任何活动。使用这个广义的定义，传感器网络中的信息聚合、由自主机器人设备执行的群体活动、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、时间或内存限制的环境中，高效的信息流需要高效的数据表示。我们目前正在研究在网络系统中有效地表示信息的策略。当我们谈到网络的信息表示时，我们将网络作为一个整体来考虑，询问信息驻留在网络中的什么位置、需要它在哪里，以及如何最有效地表示信息以使它可以在需要的地方访问。目前的研究主题包括网络数据压缩、网络的功能信源编码和网络的联合信源-信道编码。

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.