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Title: | 基於命名資料網路在延遲容忍網路之任播機制設計 Design of Anycast Mechanism for NDN in DTN |
Authors: | 蘇俊憲 Su, Chun-Hsien |
Contributors: | 蔡子傑 Tsai, Tzu-Chieh 蘇俊憲 Su, Chun-Hsien |
Keywords: | 任播路由 命名資料網路 延遲容忍網路 可達性 邊緣運算 無線隨意網路 Anycast NDN DTN Possibility Edge Computing Mobile ad hoc network |
Date: | 2023 |
Issue Date: | 2023-09-01 15:25:35 (UTC+8) |
Abstract: | 從人文創新的角度,建立分散式的資料蒐集和邊緣運算平台可以更好地滿足使用者的需求,提供個性化和有效的智慧應用服務。本研究專注於設計一個適用於無線隨意網路的任播路由機制。此機制旨在滿足資料生產者或使用者能夠以更低的請求成本與更高的成功率,透過智慧移動裝置將產出的內容或推薦請求,透過無線網路將資料上傳至距離最近最好的邊緣伺服器或進行所需的推薦運算,並將結果回傳給使用者。 本研究採取命名資料網路(Named Data Networking,NDN),使用以內容為中心的路由演算法,考慮到節點稀疏可能會造成連線斷線,導入了延遲容忍網路(Delay-tolerant networking, DTN)的概念去儲存-攜帶-轉發封包,並針對 NDN 實作 DTN 的困難處提出解決方法,此外為了降低原有泛洪極度耗費成本的做法,本研究提出了一個利用可達性(Possibility)的路由演算法來幫助減少 Overhead 與達成任播的目的。 最後實驗使用商圈中的地下街作為研究情境,將方法配合情境使用在任播機制上。實驗數據表明,本研究提出的方法與其他方法相比,不論在邊緣伺服器的數量或是人群的數量增減下,本研究提出的方法都能夠有效控制開銷,並且效率能夠幾乎比肩 Flooding 與 Epidemic Routing。 From a perspective of humanistic innovation, establishing a decentralized data collection and edge computing platform can better meet to user`s needs and provide personalized smart application services.As for data collection, this research focuses on designing an anycast routing mechanism applicable to wireless ad hoc networks. The mechanism aims to satisfy the requirement of data producers or users to achieve lower request costs and higher success rates. It enables the upload of content or recommendation requests generated by smart mobile devices via wireless networks to the nearest and optimal edge server that facilitates the required recommendation calculations. And sends the results back to the users. We adopt Named Data Networking (NDN) with content-centric routing algorithms. Considering the disconnections of nodes due to sparsity, we incorporate the concept of Delay-Tolerant Networking (DTN) for storing-carrying-forwarding packets. We propose solutions to address the challenges of implementing DTN within NDN. Additionally, to reduce the excessive overhead associated with flooding, we introduce a routing algorithm based on "possibility" to help minimize overhead and achieve the objectives of anycast. In our experiments, we utilize an underground mall in a commercial district as the research scenario and apply our methods to the anycast mechanism within this context. The results demonstrate that the proposed approach effectively controls costs and achieves efficiency comparable to Flooding and Epidemic Routing, regardless of variations in the number of edge servers or the size of the population. |
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Description: | 碩士 國立政治大學 資訊科學系 110753158 |
Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0110753158 |
Data Type: | thesis |
Appears in Collections: | [資訊科學系] 學位論文
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