SPS:用于多用户传感器系统的中间件

S. Taherian, J. Bacon
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引用次数: 3

摘要

随着人们越来越认识到研究环境数据的好处,传感器网络在规模、数据异质性和应用方面正在迅速扩大。在本文中,我们提出了一个基于状态的发布/订阅(SPS)框架,用于具有许多分布式和独立应用客户端的传感器系统。SPS提供了一种基于状态的信息演绎模型,适用于多种类型的传感器网络应用。引入了操作简单、放置灵活、可分解、便于分布式处理的状态维护组件(SMCs)。发布/订阅通信构成了框架的核心消息组件。SPS使用Pub/Sub的解耦特性,并将其扩展到整个smc,以支持更灵活和动态的系统结构。我们使用真实传感器数据进行的评估表明,SPS在捕获条件上具有表现力,并且在性能上具有可扩展性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SPS: a middleware for multi-user sensor systems
With the increased realisation of the benefits of studying environmental data, sensor networks are rapidly scaling in size, heterogeneity of data, and applications. In this paper, we present a State-based Publish/Subscribe (SPS) framework for sensor systems with many distributed and independent application clients. SPS provides a state-based information deduction model that is suited to many classes of sensor network applications. State Maintenance Components (SMCs) are introduced that are simple in operation, flexible in placement, and decomposable for distributed processing. Publish/Subscribe communication forms the core messaging component of the framework. SPS uses the decoupling feature of Pub/Sub and extends this across the SMCs to support a more flexible and dynamic system structure. Our evaluation, using real sensor data, shows that SPS is expressive in capturing conditions, and scalable in performance.
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