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Hitch Hiker 2.0: a binding model with flexible data aggregation for the Internet-of-Things

机译:Hitch Hiker 2.0:一种绑定模型,具有针对物联网的灵活数据聚合

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摘要

Wireless communication plays a critical role in determining the lifetime of Internet-of-Things (IoT) systems. Data aggregation approaches have been widely used to enhance the performance of IoT applications. Such approaches reduce the number of packets that are transmitted by combining multiple packets into one transmission unit, thereby minimising energy consumption, collisions and congestion. However, current data aggregation schemes restrict developers to a specific network structure or cannot handle multi-hop data aggregation. In this paper, we propose Hitch Hiker 2.0, a component binding model that provides support for multi-hop data aggregation. Hitch Hiker uses component meta-data to discover remote component bindings and to construct a multi-hop overlay network within the free payload space of existing traffic flows. Hitch Hiker 2.0 provides end-to-end routing of low-priority traffic while using only a small fraction of the energy of standard communication. This paper extends upon our previous work by incorporating new mechanisms for decentralised route discovery and providing additional application case studies and evaluation. We have developed a prototype implementation of Hitch Hiker for the LooCI component model. Our evaluation shows that Hitch Hiker consumes minimal resources and that using Hitch Hiker to deliver low-priority traffic reduces energy consumption by up to 32 %.
机译:无线通信在确定物联网(IoT)系统的寿命方面起着至关重要的作用。数据聚合方法已被广泛用于增强IoT应用程序的性能。这些方法通过将多个分组组合成一个传输单元来减少所传输的分组的数量,从而使能量消耗,冲突和拥塞最小化。但是,当前的数据聚合方案将开发人员限制为特定的网络结构,或者无法处理多跳数据聚合。在本文中,我们提出了Hitch Hiker 2.0,它是一种组件绑定模型,为多跳数据聚合提供支持。 Hitch Hiker使用组件元数据来发现远程组件绑定,并在现有业务流的有效负载空间内构建多跳覆盖网络。 Hitch Hiker 2.0提供低优先级流量的端到端路由,同时仅使用标准通信能量的一小部分。本文通过结合分散路由发现的新机制并提供其他应用案例研究和评估,扩展了我们以前的工作。我们已经为LooCI组件模型开发了Hitch Hiker的原型实现。我们的评估表明,Hitch Hiker消耗的资源最少,并且使用Hitch Hiker交付低优先级流量可以将能耗降低多达32%。

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