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Software Defined Machine-to-Machine Communication for Smart Energy Management

机译:软件定义的机器对机器通信,用于智能能源管理

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摘要

The successful realization of smart energy management relies on ubiquitous and reliable information exchange among millions of sensors and actuators deployed in the field with little or no human intervention. This motivates us to propose a unified communication framework for smart energy management by exploring the integration of software-defined networking with machine-to-machine communication. In this article, first we provide a comprehensive review of the state-of-the-art contributions from the perspective of software defined networking and machineto- machine integration. Second, the overall design of the proposed software-defined machine-to-machine (SD-M2M) framework is presented, with an emphasis on its technical contributions to cost reduction, fine granularity resource allocation, and end-to-end quality of service guarantee. Then a case study is conducted for an electric vehicle energy management system to validate the proposed SD-M2M framework. Finally, we identify several open issues and present key research opportunities.
机译:智能能源管理的成功实现依赖于现场部署的数百万个传感器和执行器之间无处不在且可靠的信息交换,而几乎不需要人工干预。这激励我们通过探索软件定义的网络与机器对机器通信的集成,为智能能源管理提出一个统一的通信框架。在本文中,首先,我们从软件定义的网络和机器对机器的集成的角度对最新技术做出了全面的回顾。其次,介绍了所提议的软件定义的机器对机器(SD-M2M)框架的总体设计,重点是其对降低成本,精细粒度资源分配和端到端服务质量的技术贡献保证。然后,对电动汽车能源管理系统进行了案例研究,以验证所提出的SD-M2M框架。最后,我们确定了几个未解决的问题并提出了重要的研究机会。

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