近年來由於資通訊技術(ICT) 的進步，越來越多的智能感測裝置已逐漸全
面支援連網的功能。在各種智能感測裝置蓬勃的發展之下，物聯網(Internet of
Things, IoT) 也在各個領域中扮演著一個不可或缺的角色。各式各樣的應用與服務
逐漸的發展起來，有的應用偏向於以位置為基礎的服務，有的則是偏向於大數據
的資料收集與應用。然而，在這些眾多應用當中，我們發現到一個潛在的事件偵
測導向的應用服務。大量的智能感測裝置被廣泛的部署在各個區域中，使用者可
以根據其應用與需求，針對不同的智能感測裝置來訂閱自己感興趣的資訊，當這
些訂閱的事件發生時，使用者將可得到一個由系統所發出的提醒通知。在這樣的
服務模型下，要如何設計出一個可靠的系統，來提供使用者一個事件偵測的服務，
是本論文主要探討的議題。
在本論文中，我們將基於MQTT 協定設計出一個出版訂閱系統的中介器，來
提供使用者一個事件偵測的服務。我們也在系統設計的過程當中，發現到若依照
傳統發佈訂閱模式下，其資料的傳輸過程中會產生的一些頻寬浪費，導致智能感
測裝置消耗過多的能源之問題。為了解決這些問題，本研究也提出了有效的解決
方案。最後透過實驗的模擬，證明本研究所設計出之系統，除了能提供使用者服
務以外，還能夠有效的降低系統上不必要的資料傳輸發生，進而達到節省整體網
路頻寬並使智能感測裝置達到省電之目的。

Owing to the progress of information and communication technology (ICT), a growing
number of intelligent sensor devices have gradually begun to support connection to
the Internet. As the vast amount of intelligent devices have a rapid development, the Internet
of Things (IoT) plays a significant role in many fields. With the development of
the applications and services, some of the applications tend to be location-based service
(LBS) and some of the services tend to be big data analytics. However, we discovered a
potential application service model based on the event-based detection service in the IoT.
A large number of intelligent sensor devices have been deployed in many areas. Users can
subscribe to information from different kinds of intelligent sensor devices based on their
own demands or applications. The system will send a notification to the users when these
subscribed events occur. One of the crucial issues in this paper is how to design a reliable
system to provide this kind of event-based detection service to the users.
In this paper, we propose a publish/subscribe middleware architecture based on the
MQTT protocol to offer users an event-based detection service. In the process of research,
we also found that some waste of bandwidth and energy were caused by the transmission of
data under the traditional publish/subscribe paradigm. We proposed a practical solution
to tackle the problem of unnecessary data transmission in the system. Lastly, we will
simulate this method to prove that our approach can reduce data transmission in IoT.

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