隨著物聯網技術的日益成熟，人們開始享受到物聯網服務所帶來的便利生活。一般而言，一個好的物聯網服務需要倚賴大量的資料分析，而隨處可見的物聯網裝置將能提供資料分析時所需的大量資料。在此供需齊備的情況下，物聯網資料經濟體系的建立勢在必行。而一個完整的物聯網資料經濟體系強調交易流程的可靠度、智慧化與自動化。然而，現有的資料交易機制無法滿足全部需求，因此需要設計一套完整的資料交易機制來建立可靠的物聯網資料經濟體系。
本論文所提出的資料交易機制由五個元件所組成：基於區塊鏈金流、安全資料流、紛爭處理、智慧決策以及鏈下資訊管理。首先，為了保證金流的可靠性，我們利用區塊鏈的技術來滿足交易紀錄公開且無法篡改的需求；為了達到資料流的安全性，資料將透過安全資料流模組建立的安全通道進行傳遞；而利用特殊設計的智慧合約，金流和資料流將可進一步整合，藉此保證買方能取得想要的資料而賣方能獲取預期的報酬。另外，本機制特別提供紛爭處理流程來處理可能發生的交易糾紛。在智慧化的部份，買方依據自身的資訊，透過價值評估模組與信任模組購買期望性價比最高的資料。而供應商則透過價值評估模組，估計交易目標價值曲線並進行合理出價，以獲取自身最高收益。為了能真正將本資料經濟系統應用在物聯網服務中，上述機制皆能自動運作。
最後，本論文將所提之系統實際建立在資源受限的裝置上，並進一步設計三種應用情境，包括物聯網自動資料交易、交易紛爭處理以及智慧決策等案例，藉以展示此系統的實際執行流程與結果。由上述應用情境結果顯示，本論文所提之資料交易系統實現了自動化、智慧化和值得信賴的物聯網資料經濟體系。

With the advance of Internet of Things (IoT) technology, we humans start to enjoy our comfortable life provided by various IoT services. Generally, providing good IoT services requires a large scale of data analyses, and the ubiquitous IoT devices can provide numerous data for these services. Since the existence of both demands and supplies, an IoT Data Economic System should be further established. A complete IoT Economic System usually emphasizes the reliability, intelligence, and automation during transactions. However, the existing trading mechanisms fail to satisfy all these requirements and therefore providing a complete trading mechanism to sustain the reliable IoT Data Economic System becomes a necessity.
The proposed trading mechanism is composed of five components including Blockchain-based Financial Flow, Secure Data Flow, Dispute Handling, Smart Decision Making and Off-Chain Information Manager. First, to ensure the reliability of financial flow, the blockchain technology is applied to record transactions transparently without be manipulated. To protect data flow, data will be delivered by secure channels created by Secure Data Flow Component. By utilizing the special-designed smart contract, the procedure of financial flow and data flow can further be integrated. It guarantees that buyers can obtain their expected data while sellers can gain deserved benefit. Moreover, the proposed mechanism provides a dispute handling procedure to deal with the arguments during transactions.
To meet the requirements of intelligence, buyers can apply the Value Evaluation Module and Trust Module to purchase data with the highest C/P ratio based on their personal information. Also, after estimating the pricing model of targets, suppliers can make a reasonable price by employing the Value Evaluation Module and then obtain the maximum revenue. To further perform the proposed IoT Data Economic System in IoT services, the above-mentioned mechanisms can be executed automatically.
Finally, the proposed system has already been implemented in resource-constrained IoT devices. Moreover, three kinds of scenarios including automatic IoT data trading, trading dispute handling, and smart decision making, are proposed to demonstrate the trading processes and their results. According to the execution results of these three scenarios, the proposed IoT data trading mechanism can fulfill the reliability, intelligence, and automation requirements of an IoT Data Economic System.

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