博碩士論文 105553016 詳細資訊




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姓名 李根吉(Ken-Chi Lee)  查詢紙本館藏   畢業系所 通訊工程學系在職專班
論文名稱 在藍牙低功耗無線感測網路中具電源使用效能優化的中繼節點選擇策略之研究
(Energy-Efficient Relay Node Selection Strategy in BLE-Based Wireless Sensor Network)
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檔案 [Endnote RIS 格式]    [Bibtex 格式]    [相關文章]   [文章引用]   [完整記錄]   [館藏目錄]   至系統瀏覽論文 (2021-8-24以後開放)
摘要(中) 無線感測網路(Wireless sensor networks, WSNs)是指由數個感測器(Sensor nodes)與一個控制中心(Sink node),配置在特定區域內所形成的無線網路系統,感測器在遠端收集感測數據,如溫度、濕度、壓力等,並回傳至控制中心,控制中心會將收集到的訊息透過運算、分析以利適當的應用。感測器是以電池為電源,因此有限的電池電量是一個重要的參數,要如何透過省電機制以延長整體網路的壽命,將是本文所要探討的方向。
冕狀無線感測網路(Corona-Based WSNs)將網路範圍切成多個冕圈,每個相鄰冕圈的寬度為一致,外圈的感測器會透過相鄰冕圈內的感測器將資料往內圈傳遞,因此最內圈的感測器會承載太多流量,導致其壽命會提早結束,造成外圈的感測器的資料無法傳回控制中心,即使外圈的感測器仍然有足夠的剩餘能量,整個網路可能提早無法運行,這情況將形成能量漏洞(Energy-Hole)的問題,對於網路效率造成很大的影響。
因此,本論文提出一個將藍牙低功耗(Bluetooth Low Energy, BLE)技術應用在無線感測網路上並優化電源效能的方法。若每個感測器都是使用藍牙低功耗來無線傳輸,透過選擇剩餘電量最多的感測器當作中繼節點(Relay-Node),直接將感測資料傳送至控制中心,如此可避免內圈的感測器承載過多的流量,盡量平衡內外圈的感測器消耗電量。藉由模擬結果顯示,選擇適合的中繼節點可大大減少內圈的感測器電量,以延長整體網路的生命週期。
摘要(英) A wireless sensor network(WSN) is formed by a number of sensors and a sink node in a specific area. The sensors gather interesting information like temperature, humidity, pressure, etc., and this information will be sent to a sink node. The sink node will calculate and analyze the collected information for proper applications. The power source of sensor is battery, i.e., a limited energy, which is an important parameter in WSNs, showing a research direction about how to design a power-saving mechanism for extending the entire network lifetime of a WSN system.
In a coronal-based wireless sensor network, the network area is cut into multiple concentric corona circles, and the width of each adjacent concentric corona is the same.
The outer corona sensor will transfer data to the inner corona by passing through the sensor in the adjacent corona. The inner corona sensor will carry too much traffic, causing the life of inner nodes ending early, and the data of the outer corona sensor cannot be transmitted back to the sink node. Even though the sensors in the outer corona still have enough residual energy, the entire network may not run. This problem is known as energy holes, which has a great impact on the efficiency of the network.
Therefore, this thesis study proposes a method to apply Bluetooth Low Energy(BLE) technology into wireless sensor networks and optimize energy efficiency. Each sensor uses BLE for wireless transmission. The relay node which is selected by the maximum residual energy will send the data to a sink node directly. Then the inner corona sensor can avoid carrying too much traffic, and the power consumption can be balanced between sensors in inner and outer coronas. The simulation result shows that, selecting an applicable relay node which can mitigate the power consumption of inner corona nodes is able to extend the entire network lifetime of a WSN system.
關鍵字(中) ★ 無線感測網路
★ 藍牙低功耗
★ 能量漏洞
★ 中繼節點選擇
★ 電源優化
關鍵字(英) ★ Wireless Sensor Network
★ Bluetooth Low Energy
★ Energy Hole
★ Relay Node Selection
★ Optimize Energy Efficiency
論文目次 摘要 i
Abstract ii
致謝 iii
目錄 iv
圖目錄 List of Figures vi
表目錄 List of Tables viii
第一章 簡介 1
1-1背景 1
1-2研究動機 2
1-3問題描述 3
1-4研究內容 4
1-5應用場域 6
第二章 文獻探討 7
第三章 藍牙低功耗的能量消耗模型 11
3-1藍牙模組之選擇 11
3-2能量消耗分析 13
3-2-1傳輸端 13
3-2-2接收端 16
3-3最大傳輸功率與傳輸距離 19
3-4能量消耗分析結果 21
第四章 方法設計 22
4-1假設與系統模型 22
4-2節點部署 24
4-2-1節點部署的條件 24
4-2-2節點部署的方法 25
4-2-3節點部署流程圖 28
4-3路由方法 29
4-4路由方法的流程圖 31
第五章 模擬結果 32
5-1對照組 32
5-1-1 Generic 方法 32
5-1-2 Energy-Efficient and Coverage-Guaranteed Unequal-Sized Clustering(ECUC)方法 33
5-2環境設定與參數定義 34
5-3模擬結果 36
5-3-1網路壽命 (回合數) 37
5-3-2比較內層節點的傳送與接收的封包數 38
5-3-3節點的剩餘能量 40
5-3-4 無線感測網路系統的運行時間 (工作天數) 41
第六章 結論 42
參考文獻 43
參考文獻 [1] Ayşe Berika Varol, "Compilation of Data Link Protocols: Bluetooth Low Energy (BLE), ZigBee and Z-Wave," in Proceeding of 2019 4th International Conference on Computer Science and Engineering (UBMK), Samsun, Turkey, 2019, pp. 85-90.
[2] Huei-Wen Ferng, Mardianto Soebagio Hadiputro, Arief Kurniawan, "Design of Novel Node Distribution Strategies in Corona-Based Wireless Sensor Networks," IEEE Transactions on Mobile Computing, vol. 10, no. 9, pp. 1297-1311, Sept. 2011.
[3] Ian F. Akyildiz, Weilian. Su, Yogesh. Sankarasubramaniam, Erdal Cayirci, “Wireless Sensor Networks: A Survey,” Computer Networks, vol. 38, no. 4, pp. 393-422, 2002.
[4] Xiaobing Wu, Guihai Chen, Sajal K. Das, “Avoiding Energy Holes in Wireless Sensor Networks with Nonuniform Node Distribution,” IEEE Transactions on Parallel and Distributed System, Vol. 19, No. 5, pp. 710-720, May 2008.
[5] Niayesh Gharaei, Kamalrulnizam Abu Bakar, Siti Zaiton Mohd Hashim, Mohammad Hafiz Mohamed, Syed Othmawi Abd Rahman, Ali Hosseingholi Pourasl, “Optimal Number of Nodes Deployment Method in Corona-Based WSN,” Journal of Telecommunication, Electronic and Computer Engineering, Vol. 9, No. 2-10, pp. 125-129, 2017.
[6] Hassan Hamid Ekal, Jiwa Abdullah, Ansar Jamil, Lukman Audah, Ronlan Alias, “Energy Balance Mechanism for Improving the Lifetime in Dense Centric Wireless Sensor Networks,” in Proceeding of 2016 IEEE 7th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), 13-15 Oct. 2016.
[7] Hassan Hamid Ekal, Jiwa Abdullah, “Analytical Modeling of Innovative Sensor Placement Strategy for Corona-Based Wireless Sensor Networks,” Journal of Engineering Science and Technology, Vol. 12, No.9, pp. 2461-2475, Sept. 2017.
[8] Niayesh Gharaei, Yasser D. AL-OTAIBI, Suhail Ashfaq Butt, Gul Sahar, Sabit Rahim, “Energy-Efficient and Coverage-Guaranteed Unequal-Sized Clustering for Wireless Sensor Networks,” IEEE Access, Vol. 7, pp. 157883-157891, Oct 2019.
[9] Huei-Wen Ferng, Jing-Shiaun Chuang, "Area-partitioned clustering and cluster head rotation for wireless sensor networks," in Proceeding of 2017 International Conference on Machine Learning and Cybernetics (ICMLC), Ningbo, 2017, pp. 593-598.
[10] L. Bhagyalakshmi, Sanjay Kumar Suman and K. Murugan, “Corona-Based Clustering with Mixed Routing and Data Aggregation to Avoid Energy Hole Problem in Wireless Sensor Network,” in Proceeding of IEEE 4th International Conference on Advanced Computing (ICoAC 2012), 13-15 Dec. 2012.
[11] Robin Heydon, Bluetooth Low Energy: The Developer’s Handbook., Prentice Hall-Pearson Education, Inc.; Upper Saddle River, NJ, USA: 2012. pp. 59-69. ISBN: 9780132888363
[12] Nordic Semiconductor, “nRF52840 System on Chip”, Available online: https://www.nordicsemi.com/Products/Low-power-short-range-wireless/nRF52840
[13] Nordic Semiconductor, “nRF52840 Development Kit”, Available online: https://www.nordicsemi.com/Software-and-Tools/Development-Kits/nRF52840-DK
[14] Nordic Semiconductor, “Online Power Profile”, Available online: https://devzone.nordicsemi.com/nordic/power
[15] WIKIPEDIA, “Polar Coordinate System”, Available online: https://en.wikipedia.org/wiki/Polar_coordinate_system
指導教授 胡誌麟(Chih-Lin Hu) 審核日期 2020-8-19
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