隨著科技的進步，物聯網 (Internet of Things, IoT) 的應用日益擴大，已成為一個不可或缺的存在。在物聯網領域，技術的成熟和工具的普及化帶來了新的挑戰，其中包括基地台的支援和頻寬的優化，這些都是我們需要謹慎面對的課題。基地台作為物聯網的核心，在實務應用中，合理的配置不僅確保裝置間的運行，還能提高數據傳輸的效率。因此，我們必須思考如何在不同的環境和條件下合理分配，以滿足不同的需求和應用。
在物聯網的蓬勃發展下，無論是工廠設備還是家用裝置，都傾向於高生產力、高效率且低成本的運作模式。然而，在整合多個設備和大量感測器的過程中，資源分配將面臨巨大挑戰。為解決此問題，我們引入「智能合約」和「資源代幣」(Resource Token)來自動分配資源，同時採用第二價格密封拍賣理論 (Second-price sealed-bid auctions) 確保分配的公平性。在這個理論中，物聯網裝置將使用「資源代幣」來競標資源如 5G 網路、長期演進技術 (LTE) 等。第二價格密封拍賣理論的運作方式是每個裝置根據實際需求決定出價，價格最高的裝置將獲得資源，但實際支付的代幣價格將是第二高的價格，以鼓勵競標者誠實競爭。在這個理論基礎上，我們建立了一套投標管理系統，可大幅減少設備提交數據請求的次數，進而降低無線干擾，提升數據傳輸效率，同時節省系統資源。透過對傳輸時間的控制，確保在指定的時間點僅有少數設備在傳輸數據，減低無線干擾的可能性，從而提高整體效能。
除此之外，為提升裝置傳輸間的安全性，我們在數位簽章演算法 (Merkle Signature Scheme) 上 加 入 了 身 份 認 證 功 能， 創 建 了 「身 分 認 證 簽 證 演 算 法」(Identity-based Encryption Merkle Signature Scheme (IBE-MSS))。此新的加密架構通過對身份基礎加密技術的深化與應用，只允許經過身份驗證的「擁有者」使用數位簽章，確保傳輸的穩定性。接著，再加入「靜態賽局」的理論 (one-shot game)，目的為使設備減少向服務器提出連接請求的次數，減少不必要的網路流量並增強網路品質，加強傳輸的可靠性。同時，亦可減輕伺服器的負載，使其更專注於處理關鍵任務，而非大量連接請求的處理。
綜合上述所說，我們將透過 C# 程式開發與智能合約，以進一步驗證此方式的可行性和效能。

The application of the Internet of Things (IoT) is expanding, becoming an indispensable
presence. In the field of IoT, the maturity of technology and the popularization of tools
bring new challenges, including the support of base stations and the optimization of band-
width, which needs to be addressed carefully. As the core of the IoT, the rational configu-
ration of base stations not only ensures the operation between devices but also improves the
efficiency of data transmission. Therefore, we must consider how to reasonably distribute
under different environments and conditions to meet different needs and applications.
Under the rapid development of IoT, whether it is industrial applications or home
devices, IoT devices are considered low-cost devices that are required to operate with high
productivity and efficiency. However, in the process of integrating multiple devices and a
large number of sensors, resource allocation became a barrier to the solution. To solve this
problem, we introduce ”smart contracts” and ”resource tokens” to automatically allocate
resources, while adopting second-price sealed-bid auction theory to ensure the fairness of
distribution. In this theory, IoT devices will use ”resource tokens” to bid for resources
such as 5G networks, Long Term Evolution (LTE) technology, etc. The working principle
of the second-price sealed-bid auction theory is that each device decides to bid according
to its used memory capacity, the device with the highest price will get the resources but
pays the price of the second-highest bid to encourage bidders to compete honestly.
Based on this theory, we have established a bidding management system, which
can greatly reduce the number of times IoT devices submits data requests thereby re-
ducing wireless interference, improving data transmission efficiency, and saving system
resources. By controlling the transmission time, only a few devices are transmitting data
at the specified time to reduce the occurrence of wireless interference and thus improve
overall performance.
Furthermore, it’s essential to address the reality that IoT devices. Despite their con-
venience and productivity benefits, the devices are vulnerable to a myriad of attacks such
as data breaches, device spoofing, and network attacks such as man-in-the-middle attacks.
These problems can be addressed by the application of smart contracts. By incorporating
ii
blockchain-based solutions, we can significantly enhance the security and resilience of
IoT systems, ensuring safer and more reliable operations across the board. The trans-
parent, immutable nature of blockchain coupled with the automatic enforcement of smart
contracts and equitable resource distribution allows us to safeguard our IoT devices from
a range of potential attacks.
In addition, to enhance the security between device transmissions, we have added an
Identity Based Encryption Merkle Signature Scheme, to allow only ”owners” who have
passed identity verification to use digital signatures, ensuring the stability of transmission.
Next, we incorporate the theory of ”one-shot game” to reduce the number of times
the device requests connections from the server, reduce unnecessary network traffic, and
enhance network quality, strengthening the reliability of transmission. At the same time,
it can also alleviate the load on the server, allowing it to focus more on processing critical
tasks rather than handling a large number of connection requests. In summary, we will
use C# programming and smart contracts to further verify the feasibility and performance
of this method.

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