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研究生:簡嘉威
研究生(外文):Chia-Wei Chien
論文名稱:使用具有社群網路特性的移動節點進行無線感測網路的資料聚合
論文名稱(外文):Using Mobile Nodes with Social Network Feature for Data Aggregation in Wireless Sensor Network
指導教授:周承復
口試委員:吳曉光林俊宏蔡子傑
口試日期:2018-07-30
學位類別:碩士
校院名稱:國立臺灣大學
系所名稱:資訊工程學研究所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2018
畢業學年度:106
語文別:英文
論文頁數:40
中文關鍵詞:車載延遲容忍網路資料聚合無線感測網路
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近年來,網路技術不斷在精進,第五代網路的普及亦是指日可待。我們能夠預測到不斷增長的智能自主傳感器以及其對未來世界的影響。然而如今無線感測網路(WSN)在許多領域發揮了重要作用,例如醫療保健,軍事行動,樓房自動化和礦物監測,未來可能會有更多的應用。
在我們的研究中,我們想要解決目前對於大型無線感測網路中資料傳遞方法的缺陷。我們利用類似於無人車的移動點所建構出的車載延遲容忍網路(VDTN)來幫助數個無線感測網路的資料傳遞及整合,使得各個無線感測網路只需要如期醒來並且將資料傳遞給附近的移動點,省去原本在感測網路中許多耗電的程序而延長其壽命,讓感測器能夠將僅存的電力全部用在感測資料上。而我們的方法亦能讓無線感測網路之間能夠獨立的運作不會因為方法的設計而互相影響,進而減少不必要的能源耗損。我們對此提出一個完善的方法,而經由實驗模擬結果顯示我們的方法能有效提升資料的匯合度使減輕基地台的負載量,同時亦減少平均上傳資料的距離而降低訊號碰撞的程度。
In recent years, network technology has continued to improve, and the popularity of fifth-generation networks is just around the corner. We are able to anticipate the growing intelligence of autonomous sensors and their impact on the future world. Nowadays, wireless sensor networks (WSNs) play an important role in many fields, such as healthcare, military operations, building automation and mineral monitoring, and there may be more applications in the future.
In our research, we want to address the shortcomings of current data collecting methods for wireless sensor networks in smart city. We use the Vehicular Delay Tolerant Networks (VDTN) built by unmanned vehicles to help with the data collecting and aggregating of several WSNs, so that a wireless sensor network only needs to wake up and send the aggregated data to unmanned vehicles nearby it to eliminate lots of power-consuming processes such as communicating with other WSNs, allowing the sensors to use all of the remaining power for sensing data. Our approach also enables independent operation of wireless sensing networks without interfering each other caused by the design of the method, thereby reducing unnecessary energy consumption. We propose a method for these goals, and the experimental simulation results show that our method can effectively improve the aggregation of sensors’ data to reduce the load of the base stations, and also reduce the average distance of uploading data and then reduce the potentially signal collisions.
CONTENTS
誌謝 .................................................i
摘要 .................................................ii
ABSTRACT .................................................iii
LIST OF FIGURES .................................................vi
LIST OF TABLES .................................................vii
Chapter 1 Introduction ................................. 1
Chapter 2 Related Work ................................. 6
Chapter 3 System Model ................................. 8
3.1 Scenario ......................................... 8
3.2 Problem Formulation .................................11
3.2.1 How to Decide the Sender and Receiver? .12
3.2.2 When to Upload Data? ......................13
Chapter 4 Methodology .................................14
4.1 Sensor’s Self-Adjusting Mechanism .................14
4.2 Mobile Node’s Contribution Quantification .........16
4.2.1 Mobile Node’s Scheduled Uploading Time .16
4.2.2 Sender & Receiver Decision .................17
Chapter 5 Evaluation .................................20
5.1 Simulation Scenario .................................20
5.2 Performance .......................................24
5.2.1 Aggregation Ratio .........................25
5.2.2 Average Uploading Distance .................27
5.2.3 Total Power Consumption for Uploading Data .27
5.3 The Influence of Different Value of Parameters .30
5.3.1 The Length of Sub-Period .................30
5.3.2 The Length of Threshold .................32
5.3.3 The Period of Hello Packet .................34
Chapter 6 Conclusion .................................37
REFERENCE .................................................38
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