基于原始认知网络过程的传感器服务排序方法

The 4th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Pub Date : 2014-10-09 DOI:10.1109/CYBER.2014.6917487

K. Yuen, Wei Wang

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引用次数: 10

摘要

将传感器功能抽象为服务是支持基于物联网应用的互操作性和可扩展性的一种很有前途的方法;然而，实时地对这些动态的、大量的现实世界的服务进行排序和选择是一个具有挑战性的问题，它涉及到在存在多个标准的情况下进行决策。本文展示了原始认知网络过程(P-CNP)在基于多个服务质量标准的传感器服务排序中的应用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Towards a ranking approach for sensor services using primitive cognitive network process

Abstracting sensor capabilities as services is a promising approach to support interoperability and scalability in Internet of Things based applications; however, ranking and selecting these dynamic and large number of real-world services in real-time is a challenging problem, which involves decision making in the presence of multiple criteria. This paper demonstrates an application of the Primitive Cognitive Network Process (P-CNP) to the sensor service ranking with respect to multiple Quality-of-Service criteria.

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来源期刊

The 4th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent

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