NeTS+NOSS: Communication Patterns for Collaborative Reasoning in Sensor Networks

摘要：该项目研究用于组织，结构化和部署传感器网络的分布式算法，以便它们可以完成各种高级全局估计任务。特别注意的概率方法，可以处理传感器噪声，信号干扰和测量不准确。总体目标是封装少量的传感器协作、信息聚合和分布式推理的范例，这些范例可以服务于各种各样的应用程序，并减轻每次重新实现这种类型的网络软件的负担。通信模式进行了探讨，结合联合收割机的传感，信息交换，并共同执行所需的估计在一个轻量级的，强大的，和不确定性的方式处理行动。净效应是在数据链路层之上增加另一层网络堆栈，该层是数据驱动的，并执行协作推理，利用感知信息及其对网络任务的价值。这种任务驱动的通信模式，一旦他们被确定和实施，将有助于快速部署传感器网络的新任务和种子额外的应用程序。协作和推理问题的解决是重要的，以及其他分布式系统，包括分布式数据库和peer-to-peer network.Research本项目将结合联合收割机的设计，仿真，理论分析，并在大学建筑内的实验传感器网络测试床的实施，探索和验证这些想法。

Abstract: This project investigates distributed algorithms for organizing, structuring, and deploying sensor networks so that they can accomplish a variety of high-level global estimation tasks. Special attention is given to probabilistic methods that can deal with sensor noise, signal interference, and measurement inaccuracies. The overall goal is to encapsulate a small number of paradigms for sensor collaboration, information aggregation, and distributed reasoning that can serve a wide variety of applications and ease the burden of implementing this type of networked software anew each time. Communication patterns are explored that combine sensing, information exchange, and processing actions that jointly perform the required estimation in a lightweight, robust, and uncertainty-aware manner. The net effect is to augment the network stack above the data link layer with another layer that is data-driven and performs collaborative reasoning, exploiting sensed information and its value to the network task. Such task-driven communication patterns, once they have been identified and implemented, will facilitate the quick deployment of sensor networks for new tasks and seed additional applications. The collaboration and reasoning problems addressed are important as well for other distributed systems, including distributed data-bases and peer-to-peer networks.Research on this project will combine design, simulation, theoretical analysis, and the implementation of an experimental sensor network testbed within a university building for exploring and validating these ideas.