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Putting sense inside sensor systems: a coordinated approach to messaging

机译:在传感器系统中引入意义:一种协调的消息传递方法

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摘要

Sensor network deployments, such as smart cities and smart logistics, are evolving towards open infrastructure on top of which multiple parties deploy and make use of each other’s application software. Of vital importance in such distributed settings, is an agreement on message semantics and contents. Yet, the current state-of-the-art in sensor programming typically remains low-level in terms of messaging, and lacks support for coordination across platforms and stakeholders. We present TALKSENS, a message definition framework that facilitates development of correctly interacting application logic by means of a shared data model, a message description language and serialisation code generation. Additionally, integration of TALKSENS with an existing component model results in run-time retrievable message definitions that facilitate third-party interactions. Our evaluation shows that message sizes, software sizes and middleware overhead remain well within the bounds of sensor network resource constraints.
机译:诸如智能城市和智能物流之类的传感器网络部署正在朝着开放的基础架构发展,多方在此基础上部署并利用彼此的应用程序软件。在这样的分布式环境中,至关重要的是就消息语义和内容达成一致。但是,当前传感器编程的最新水平通常在消息传递方面仍处于低水平,并且缺乏跨平台和利益相关者之间的协调支持。我们介绍TALKSENS,这是一个消息定义框架,它通过共享数据模型,消息描述语言和序列化代码生成来促进正确交互的应用程序逻辑的开发。此外,将TALKSENS与现有组件模型集成后,可以在运行时检索消息定义,从而便于第三方交互。我们的评估表明,消息大小,软件大小和中间件开销始终保持在传感器网络资源约束的范围内。

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