Integrated Sensing: Reactive Sensor Networks

这项拟议工作的愿景是通过使用自主和分布式传感器网络创建更通用的信息系统：数百个小型传感器，配备有限的内存和驱动能力，将自主组织自己并移动以跟踪源并将其位置信息传达给人类用户和团队的其他成员。这种分布式主动传感器网络是普适计算系统，非常适合极端环境中的任务，特别是当环境模型和任务规范不确定并且系统必须适应它时。本研究的一个基本目标是为分布式传感器网络控制和信息收集与协调提供科学基础，提出了传感器网络通信的新思想、传感器网络自适应主动控制与协调的新思想、传感器网络信息收集与聚合的新思想、传感器网络通信的新思想、传感器网络通信的新思想、以及（4）基于现实场景的实验，这些实验经验性地测量所提出的通信和控制算法的性能和可扩展性。更具体地说，这项所提出的工作的中心挑战集中在开发，实现和评估一套可扩展的网络协议，这些协议（1）保证消息传递;（2）具有容错能力;（3）最大化网络寿命;（4）能够适应环境和任务。

The vision of this proposed work is to create more versatile information systems by using autonomous and distributed sensor networks: hundreds of small sensors, equipped with limited memory and actuation capabilities will autonomously organize themselves and move to track a source and convey information about its location to a human user, and to the rest of the team. Such distributed active sensor networks are pervasive computing systems, well-suited for tasks in extreme environments, especially when the environmental model and the task specifications are uncertain and the system has to adapt to it. To create active sensor networks capable of such applications, a fundamental goal of this research is to develop a science base for distributed sensor network control and information gathering and coordination.This is a considerable challenge, which we propose to meet by the synergistic integration of the following directions of work: (1) new ideas for communication in sensor networks; (2) new ideas for developing adaptive active control and coordination in sensor networks; (3) new ideas for information gathering and aggregation in sensor networks; and (4) experiments grounded on realistic scenarios that measure empirically the performance and scalability of the proposed communication and control algorithms.More specifically, the central challenges for this proposed work are focused on developing, implementing and evaluating a suite of scalable network protocols that (1) guarantee message delivery; (2) are fault tolerant; (3) maximize the network lifetime; and (4) are adaptive to the environment and to the task.