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Adaptive Service Framework Based on Grey Decision-Making in the Internet of Things

机译:基于物联网灰色决策的自适应服务框架

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In the internet of things(IoT) environment, the dynamic service is the use of resource allocation, service composition and service methods such as internal adjustment of the system to achieve an important mechanism for QoS management, in the device layer, dynamic service provides a flexible self-adaptive applications for RFID. However, smart devices such as mobile reader of resources are scarce in the internet of things, in addition, the wireless sensor devices form more intelligent environment interface, so the more interface access to fewer resources, which greatly reduce the network objects together intelligence, it is necessary to call the interface of IoT dynamic allocation of resources, composition, adjustment, thereby enhancing the IoT network and intelligent applications. In this article, in the complex networked environment a self-adaptive dynamic service was introduced, a novel adaptive method proposed, the method for a control decision-making system to reduce the consumption of devices resources, and the effect measure adjustment based QoS dynamic service.
机译:在事物(IOT)环境中的网络,动态服务是利用资源分配,服务组合和服务的方法,例如在系统的内部调整以实现QoS管理的重要机制,该器件层中,动态服务提供了灵活的自适应应用的RFID。然而,智能设备,诸如资源的移动阅读器是在事物的互联网稀缺,此外,所述无线传感器设备形成更多的智能环境的接口,所以较少的资源,这极大地降低了网络的多个接口存取对象一起情报,它需要调用资源,组合物,调整的IoT动态分配的界面,从而提高了网络的IoT和智能的应用程序。在本文中,在被引入一个自适应动态服务的复杂网络化环境中,一个新的自适应方法提出,对于控制方法的决策系统,以减少设备的资源的消耗,和效果测度调整基于QoS的动态服务。

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