智慧城市服务中CUPUS中间件与MQTT协议的比较

Aleksandar Antonic, M. Marjanović, Pavle Skocir, Ivana Podnar Žarko
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引用次数: 31

摘要

发布/订阅消息模式在面向数据的应用程序中经常被用作通信机制,并且随着物联网(IoT)服务和应用程序的扩展而变得越来越广泛。MQTT是物联网上下文中常用的发布/订阅协议之一,除了MQTT之外,还有许多其他消息队列解决方案,有的是开放的,有的是专有的。我们在FP7项目OpenIoT1框架内设计了一个基于云的发布/订阅(CUPUS)中间件解决方案,该项目为物联网开发了一个开源云平台。CUPUS是OpenIoT的核心组件之一,它可以灵活地集成可穿戴传感器和移动设备作为OpenIoT平台内的数据源。本文在智慧城市应用场景下对MQTT和CUPUS进行了比较。智慧城市服务对IoT发布/订阅解决方案提出了不同的关键要求,因此我们提出了一种分类法来识别IoT发布/订阅中间件的重要特征。比较表明,cpuus更适合上下文频繁变化的移动环境,同时它可以在向后端云服务器报告之前过滤掉设备上不需要的数据。MQTT协议被证明适合无线传感器网络(wsn)和异构环境,因为它的代码占用小,带宽使用低和标准化的接口。最后,我们根据真实场景中的消息占用、延迟和交付语义来评估这两种解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison of the CUPUS middleware and MQTT protocol for smart city services
Publish/subscribe messaging pattern is often used as a communication mechanism in data-oriented applications and is becoming wide-spread, especially due to the expansion of the Internet of Things (IoT) services and applications. In addition to MQTT, which is one of the commonly used publish/subscribe protocols in the context of IoT, there are a number of other message queuing solutions, either open or proprietary. We have designed a CloUd-based PUblish/Subscribe (CUPUS) middleware solution within the framework of the FP7 project OpenIoT1 that has developed an open-source cloud platform for the IoT. CUPUS is one of the core OpenIoT components which enables flexible integration of wearable sensors and mobile devices as data sources within the OpenIoT platform. In this paper we compare MQTT and CUPUS in the context of smart city application scenarios. Smart city services pose different key-requirements on IoT publish/subscribe solutions and thus we propose a taxonomy to identify vital features of IoT publish/subscribe middleware. The comparison shows that CUPUS is more appropriate for mobile environments with frequent context changes, while it can filter out unrequired data on devices prior to being reported to backend cloud servers. The MQTT protocol proves to be suitable for Wireless Sensor Networks (WSNs) and heterogeneous environments due to its small code footprint, low bandwidth usage and standardized interfaces. Finally we evaluate the two solutions in terms of message footprint in a real-world scenario, latency and delivery semantics.
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