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A SDN-based IoT Architecture Framework for Efficient Energy Management in Smart Buildings

机译:基于SDN的物联网架构框架,可实现智能建筑中的高效能源管理

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Energy consumption has increased drastically at global scale due to the growing urbanization in cities. Energy efficiency in smart buildings can be achieved by introducing a context-aware Internet of Things (IoT) approach, where sensors can learn from their surrounding environment to control the actuators in a coordinated network. However, the IoT network requirements are constantly changing in unpredictable fashion, which needs faster and frequent on-demand network reconfiguration. Software Defined Network (SDN) has been envisioned as a new approach to enable a flexible and agile network programmability in diverse IoT scenarios. However, the focus has primarily been on the design of the SDN computation logic, i.e. controllers, while the dynamic delivery and operations service-inferred IoT resource allocation has been postponed.To fill this gap, this paper proposes a comprehensive architectural design that is devised to empower SDN-enabled Context-Aware IoT systems and networks to create efficient energy management in smart buildings. We investigate the provision of NFV IoT functions to support distributed automation and orchestration on IoT devices, and we present a context-aware approach to gather, filter and process data from sensing data in campus buildings. We provide a proof of concept to demonstrate successful deployment and provisioning of virtualized services in the context of Smart Campus research project.
机译:由于城市的日益城市化,能源消耗在全球范围内急剧增加。可以通过引入上下文感知的物联网(IoT)方法来实现智能建筑的能源效率,其中传感器可以从其周围环境中学习以控制协调网络中的执行器。但是,物联网网络需求以不可预测的方式不断变化,这需要更快,更频繁地按需网络重新配置。软件定义网络(SDN)已被设想为一种新方法,可在各种IoT场景中实现灵活,敏捷的网络可编程性。但是,重点主要放在SDN计算逻辑(即控制器)的设计上,而动态交付和运营服务推断的IoT资源分配已被推迟。支持基于SDN的上下文感知物联网系统和网络,以在智能建筑中创建高效的能源管理。我们研究了NFV IoT功能的提供,以支持IoT设备上的分布式自动化和编排,并且我们提出了一种情境感知的方法来从校园建筑物中的感测数据中收集,过滤和处理数据。我们提供了概念证明,以证明在Smart Campus研究项目的背景下成功部署和配置了虚拟化服务。

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