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ROSA:智能家居中物联网的面向资源的服务管理方案

ROSA: Resource-Oriented Service Management Schemes for Web of Things in a Smart Home.

作者信息

Liao Chun-Feng, Chen Peng-Yu

机构信息

Department of Computer Science, National Chengchi University, Taipei 11605, Taiwan.

Program in Digital Content and Technologies, National Chengchi University, Taipei 11605, Taiwan.

出版信息

Sensors (Basel). 2017 Sep 21;17(10):2159. doi: 10.3390/s17102159.

DOI:10.3390/s17102159
PMID:28934159
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5677407/
Abstract

A Pervasive-computing-enriched smart home environment, which contains many embedded and tiny intelligent devices and sensors coordinated by service management mechanisms, is capable of anticipating intentions of occupants and providing appropriate services accordingly. Although there are a wealth of research achievements in recent years, the degree of market acceptance is still low. The main reason is that most of the devices and services in such environments depend on particular platform or technology, making it hard to develop an application by composing the devices or services. Meanwhile, the concept of Web of Things (WoT) is becoming popular recently. Based on WoT, the developers can build applications based on popular web tools or technologies. Consequently, the objective of this paper is to propose a set of novel WoT-driven plug-and-play service management schemes for a smart home called Resource-Oriented Service Administration (ROSA). We have implemented an application prototype, and experiments are performed to show the effectiveness of the proposed approach. The results of this research can be a foundation for realizing the vision of "end user programmable smart environments".

摘要

一个富含普适计算的智能家居环境,包含许多由服务管理机制协调的嵌入式小型智能设备和传感器,能够预测居住者的意图并据此提供适当的服务。尽管近年来有大量的研究成果,但市场接受程度仍然较低。主要原因是这种环境中的大多数设备和服务依赖于特定的平台或技术,使得通过组合设备或服务来开发应用程序变得困难。同时,物联网(WoT)的概念最近正变得流行起来。基于物联网,开发者可以基于流行的网络工具或技术构建应用程序。因此,本文的目的是为智能家居提出一套新颖的物联网驱动的即插即用服务管理方案,称为面向资源的服务管理(ROSA)。我们已经实现了一个应用原型,并进行了实验以证明所提方法的有效性。本研究结果可为实现“终端用户可编程智能环境”的愿景奠定基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8482/5677407/54a932c5d308/sensors-17-02159-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8482/5677407/a9d91169e186/sensors-17-02159-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8482/5677407/4e238597ce99/sensors-17-02159-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8482/5677407/5add74cfac5c/sensors-17-02159-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8482/5677407/fb1fa4d98306/sensors-17-02159-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8482/5677407/2f719f43879b/sensors-17-02159-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8482/5677407/45d2cdca077d/sensors-17-02159-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8482/5677407/42d2db5c65b7/sensors-17-02159-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8482/5677407/0c512031bf8c/sensors-17-02159-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8482/5677407/54a932c5d308/sensors-17-02159-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8482/5677407/a9d91169e186/sensors-17-02159-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8482/5677407/4e238597ce99/sensors-17-02159-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8482/5677407/5add74cfac5c/sensors-17-02159-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8482/5677407/fb1fa4d98306/sensors-17-02159-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8482/5677407/2f719f43879b/sensors-17-02159-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8482/5677407/45d2cdca077d/sensors-17-02159-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8482/5677407/42d2db5c65b7/sensors-17-02159-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8482/5677407/0c512031bf8c/sensors-17-02159-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8482/5677407/54a932c5d308/sensors-17-02159-g009.jpg

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