由於物聯網技術讓現在的科技社會邁向下一個階段，在物聯網環境中，各式功能的感測器以低成本優勢逐漸普及化，經由連上網路讓感測到的資料能傳送到伺服器，但是必須考慮到應用服務方面以及網路傳輸能力，避免在進行對外傳輸過程中因感測器互相爭奪網路資源而導致網路壅塞，使資料到達時間延遲，這情況不僅大幅降低網路效益，連使用者的心情亦受到影響。
在本論文中，所設計的機制，可以依據不同資料服務類型的權重對不同的裝置進行調整，使得在容量有限的網路資源條件之下，在使用者可接受的範圍之內，減少特定服務和裝置產生的資料量，以維持資料能夠在迅速傳至目的端，不會因為網路
資源的過度競爭導致資料傳輸延遲更久時間才到達，因此本機制可以善加利用受限制的網路資源，使其發揮最大效益。

The Internet of Things (IoT) has brought the current digital life society to the next stage. Now, many and different functional types of sensors are developed with small sizes and low cost, which are popularly adopted by different data services in the IoT. Sensing data can be transmitted to the server on the Internet. However, application services and network transmission capabilities must be taken into account to avoid network congestion, while sensors in a home domain contend for limited network resources outward external network domains. The delay time of data delivery not only significantly reduces network efficiency, but also affects the mind of users.
Thus, this thesis proposes a mechanism, considering different weights of different data service types to adjust, this fashion which enables data traffic in a limited- resource network can be reduced to the minimal-acceptable extent that users can be satisfied. Meanwhile, data can be still transmitted to the destination without uncomfortable delay, so as to keep media playing quality.

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