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| 研究生： |
林宇軒 Lin, Yu Hsuan |
|---|---|
| 論文名稱： |
校園環境中基於社群資料之耐延遲網路傳輸策略 Campus Environment Social-based routing in Delay Tolerant Network |
| 指導教授： |
蔡子傑
Tsai, Tzu Chieh |
| 學位類別： |
碩士
Master |
| 系所名稱： |
理學院 - 資訊科學系 |
| 論文出版年： | 2013 |
| 畢業學年度： | 102 |
| 語文別： | 中文 |
| 論文頁數： | 42 |
| 中文關鍵詞： | 耐延遲網路 、校園環境 、社群 、個人資訊 、傳輸 |
| 外文關鍵詞： | Delay Tolerant Networks, Campus environment, social, personal information, transmission |
| 相關次數： | 點閱：76 下載：4 |
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在耐延遲網路中，沒有網路服務的使用者，可以藉由各節點間的短距離傳送，透過一個間斷性的連結將資料傳送至目的地。因此，在本研究，當使用者在校園環境中，欲將手邊的資料傳送給其他使用者，但無法連結上網際網路時，可以透過與目標節點關聯性較高的節點幫忙以達到傳送資料之目的。
本論文提出一基於個人與社群資訊的資料傳送方法，以個人興趣、個人資訊與朋友關係等三個面向去分析適合用來幫助傳送資料的節點。在每個訊息中，我們加入一級別值，並在相遇到其他節點時做資訊的交換與計算，並利用選擇較高級別值的節點轉送，使資料可以透過較有效率的路線傳送至目的地。最後，我們將本論文方法與其它資料傳送方法比較評估效能，模擬結果顯示我們提出的傳送方法有較優的傳送成功率與較低的資源耗費。
In Delay Tolerant Networks (DTNs), the user without network service can, through short transmission between nodes, use an intermittent route to deliver messages to the destination. In our study, when a user in the campus environment wants to send its data to others but can’t link to Internet in that moment, the user can use the node which has higher relation degree with the destination to help forward the data.
In this thesis, we proposed a social-based routing approach. It is based on aspects of personal interest, personal information, and social relation to analyze which node is appropriate for data relaying. For each data, a rank value is associated with it. When the node encounters with other nodes, it will exchange and calculate data information to renew the rank value. Based on the rank value, data can be relayed to nodes with higher rank values, and thus to the destination through a more efficient way. Finally, we evaluated our approach, and compared with other routing schemes. The simulation results showed that our proposed approach had better delivery probability and lower resource cost.
CHAPTER 1 Introduction 2
1.1 Background & Motivation 2
1.2 Objective 4
CHAPTER 2 Related Work 5
2.1 Social Trace Data 5
2.1.1. MIT reality 5
2.1.2. Cambridge 5
2.1.3. Infocom05、06 5
2.2 Social based in Delay-Tolerant Networks 6
2.2.1 The anatomy of a large-scale hypertextual Web search engine 6
2.2.2 PeopleRank: Social Opportunistic Forwarding 6
2.2.3 Social-Greedy: A Socially-Based Greedy Routing Algorithm for Delay Tolerant Networks 7
CHAPTER 3 Social-based Routing Approach 8
3.1 Environment define 8
3.2 Data replicate and receive strategy 10
3.3 Rank calculate in social-based routing: 13
CHAPTER 4 Simulation Results 17
4.1 Simulation Environment 17
4.2 Simulation Setting 17
4.3 Simulation Result 19
4.3.1. Performance of different routing method in our environment 19
4.3.2. Performance of different buffer size in our environment 22
4.3.3. Performance of different personal data weight distribute in our environment 24
CHAPTER 5 Conclusions and Future Work 26
REFERENCE 26
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