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研究生: 陳敬緣
Ching-Yuan Chen
論文名稱: 具有常規電池與能量收集之無線感測器網路研究
A Study on the Wireless Sensor Network with Regular Battery and Energy Harvesting
指導教授: 鍾順平
Shun-Ping Chung
口試委員: 林永松
Yeong-Sung Lin
王乃堅
Nai-Jian Wang
學位類別: 碩士
Master
系所名稱: 電資學院 - 電機工程系
Department of Electrical Engineering
論文出版年: 2022
畢業學年度: 110
語文別: 英文
論文頁數: 306
中文關鍵詞: 無線感測器網路能量收集常規電池優先權無耐性能量需求
外文關鍵詞: wireless sensor network, energy harvesting, regular battery, priority, impatience, energy requirement
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  • 無線感測器網路以其小尺寸、低成本、廣泛部署的特點,在下世代通信技術的設計中顯現了巨大潛力。特別是在物聯網的各項應用中,基於能量收集的無線傳感器網路在近年來備受關注。然而,儘管能源供應能夠依賴於自然環境,例如:太陽能、風能和水力,但系統的有效性也可能同時受到限制。為了克服這項瓶頸,我們採用額外的一顆常規電池作為輔助能源。基於上述機制,我們進一步考慮封包可能具有的各項屬性,包括優先權、無耐性以及能量需求。為了釐清能耗與常規電池壽命之間的關係,我們不僅定義了一項另外的效能指標“常規能耗比”,並為此提出了更具靈活性的解析模型。此外,我們研究了四種情境:(1)僅有一個節點,每個封包具有相同能耗;(2)僅有一個節點,每個封包具有不同能耗;(3)一個三節點相連而成的網路,每個封包具有相同能耗;(4)一個三節點相連而成的網路,每個封包具有不同能耗。首先,我們透過四維的馬可夫鏈推導出所提出模型的狀態平衡方程式。其次,我們使用迭代演算法得出穩態機率分佈和各項性能指標。接著,我們研究了不同參數對於系統有效性的影響。最後,在大部分的研究案例中,解析結果與模擬結果相當接近。


    Wireless sensor networks (WSNs) show a great deal of potential in the design of next generation communication technology for their small size, low cost and wide deployment. Particularly in various applications of the Internet of Things (IoT), an Energy Harvesting-based WSN has attracted much attention in recent years. However, while the energy supply can rely on the natural environment, e.g., solar, wind and hydro energy, the efficiency of the system may also be limited. To overcome this bottleneck, an additional regular battery is adopted as an auxiliary energy supply. Based on the above mechanism, we further consider various properties of packets, including priority, impatience, and energy requirement. Furthermore, to figure out the relationship between energy consumption and regular battery lifetime, we not only define an additional performance measure, regular energy consumption ratio (RECR), but also propose a more flexible analytical model for this purpose. In addition, there are four scenarios considered: (1) only one node and the energy consumed by each packet is identical, (2) only one node and the energy consumed by each packet is different, (3) a network with three interconnected nodes and the energy consumed by each packet is identical, (4) a network with three interconnected nodes and the energy consumed by each packet is different. First, we derive the state balance equations of the proposed model by a four-dimensional Markov chain. Second, an iterative algorithm is used to find the steady-state probability distribution and various performance measures. Afterwards, we study the impacts of different parameters on the measures of the system's effectiveness. Lastly, in most of the studied cases, the analytical results are shown to be in fairly close agreement with the simulation results.

    摘要 I Abstract II 致謝 III Contents IV List of Figures VII 1. Introduction 1 2. System model 3 2.1 Scenario 1 4 2.2 Scenario 2 4 2.3 Scenario 3 4 2.4 Scenario 4 4 3. Analytical model 5 3.1 Scenario 1 5 3.1.1 Model diagram 5 3.1.2 State balance equations 6 3.1.3 Iterative algorithm 23 3.1.4 Performance measures 24 3.2 Scenario 2 28 3.2.1 Model diagram 28 3.2.2 State balance equations 29 3.2.3 Iterative algorithm 53 3.2.4 Performance measures 53 3.3 Scenario 3 58 3.3.1 Model diagram 58 3.3.2 State balance equations 59 3.3.3 Iterative algorithm 78 3.3.4 Performance measures 79 3.4 Scenario 4 87 3.4.1 Model diagram 87 3.4.2 State balance equations 88 3.4.3 Iterative algorithm 114 3.4.4 Performance measures 114 4. Simulation model 122 4.1 Scenario 1 122 4.1.1 Main program 122 4.1.2 HP packet arrival subprogram 123 4.1.3 LP packet arrival subprogram 124 4.1.4 Energy arrival subprogram 125 4.1.5 Impatient subprogram 126 4.1.6 Departure subprogram 127 4.1.7 Performance measures 128 4.2 Scenario 2 138 4.2.1 Main program 138 4.2.2 HP packet arrival subprogram 138 4.2.3 LP packet arrival subprogram 139 4.2.4 Energy arrival subprogram 140 4.2.5 Impatient subprogram 141 4.2.6 Departure subprogram 142 4.2.7 Performance measures 143 4.3 Scenario 3 154 4.3.1 Main program 154 4.3.2 HP packet arrival subprogram 154 4.3.3 LP packet arrival subprogram 156 4.3.4 Node-n energy arrival subprogram 157 4.3.5 Packet arrival from node 3 to node n subprogram 158 4.3.6 Node-n impatient subprogram 159 4.3.7 Node-1 departure subprogram 161 4.3.8 Node-2 departure subprogram 162 4.3.9 Node-3 departure subprogram 163 4.3.10 Performance measures 164 4.4 Scenario 4 181 4.4.1 Main program 181 4.4.2 HP packet arrival subprogram 181 4.4.3 LP packet arrival subprogram 183 4.4.4 Node-n energy arrival subprogram 184 4.4.5 Packet arrival from node 3 to node n subprogram 185 4.4.6 Node-n impatient subprogram 186 4.4.7 Node-1 departure subprogram 188 4.4.8 Node-2 departure subprogram 189 4.4.9 Node-3 departure subprogram 190 4.4.10 Performance measures 191 5. Numerical results 208 5.1 Scenario 1 208 5.1.1 Energy arrival rate 210 5.1.2 Regular battery usage probabilities 214 5.2 Scenario 2 226 5.2.1 Energy arrival rate 228 5.2.2 Regular battery usage probabilities 232 5.3 Scenario 3 244 5.3.1 Energy arrival rate 246 5.3.2 Regular battery usage probabilities 255 5.4 Scenario 4 273 5.4.1 Energy arrival rate 275 5.4.2 Regular battery usage probabilities 285 6. Conclusions 303 References 305

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    全文公開日期 2027/08/15 (國家圖書館:臺灣博碩士論文系統)
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