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研究生:盧怡仁
研究生(外文):Y-Jen Lu
論文名稱:在無線感測網路中針對多媒體資料流具有最佳功率控制的生存時間最大化的解決方法
論文名稱(外文):Lifetime Maximization Schemes with Optimal Power Control for Multimedia Traffic in Wireless Sensor Networks
指導教授:許蒼嶺
指導教授(外文):Tsang-Ling Sheu
學位類別:博士
校院名稱:國立中山大學
系所名稱:電機工程學系研究所
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:2009
畢業學年度:97
語文別:英文
論文頁數:104
中文關鍵詞:無線感測網路功率控制生存時間
外文關鍵詞:wireless sensor networkpower controllifetime
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在無線感測網路中,有效改善耗電以及延長節點使用壽命是很熱門的研究主題。本論文中,為了維持資料串流品質穩定的情況下,我們提出如何調整最佳的傳輸功率以便找出解決路徑生存時間最大化的方法。為了解決此最大化的問題,我們將解決方案分為兩部份進行分析。第一部份,我們首先考量如何降低耗電的問題。在無線節點傳送多媒體資料時,如果為了減少節點耗電量而降低傳送功率,這可能會影響多媒體的品質。為了兼顧節點的耗電量以及維持穩定的多媒體傳輸品質,我們提出一個有效率的路徑搜尋方案。發送端提出一個品質維持率,這個方案必須根據節點通道情況調整其最佳的傳送功率,以達到穩定的多媒體傳輸品質,最終再從有效路徑中找尋最低耗電量的路徑。
在本論文的第二部份,延續第一部分對多媒體品質的定義,我們進一步考慮在無線感測網路中如何延長節點壽命,同時想要延長節點使用時間而且維持多媒體品質的穩定度是屬於非線性最佳化的範疇,其可轉化成一個最大-最小化組合型的數學方程式。為了解決這個方程式,我們提出兩個方法︰route-associated power management (RAPM) 與 link-associated power management (LAPM)。對於運算資源有限的節點,RAPM方法可藉由簡化運算條件降低運算量所耗費的資源,並且能夠快速地計算出每條路徑的使用壽命,找出最長壽的路徑。除此之外,若運算資源足夠的情況下,可以採用LAPM方法計算出更為準確的結果,同時針對路徑上的各個節點配置最適合的傳送功率。最後,我們分析這兩種解決方案,發現使用LAPM方法其結果相當近似於暴力法求解的結果。
Power saving for extending session lifetime is an important research subject in wireless sensor networks (WSNs). Recognizing the fact that Quality of Service can be deteriorated by insufficient transmit power, this work studies how to minimize power consumption while achieve a satisfactory QoS of data streams in WSNs. A cross-layer routing scheme is proposed to maximize session lifetime by adjusting individual transmit power on intermediate nodes. The thesis is divided into two major parts for analyzing our proposition. In the first part, we propose an efficient routing scheme with optimal power management and on-demand quality control for WSNs. When source node issues a QoS provision for route discovery, an adjustment of transmit power is computed for each pass-by node by taking into its individual wireless link account. Then, an optimal route associated with lowest power consumption and consistent QoS can be selected among all of the candidate routes. In the second part, by following the definition of QoS criterion in the first part, we further consider the problem of how to balance the needs on constraining end-to-end quality and prolonging lifetime in an established route. The problem can be interpreted as a non-linear optimization paradigm, which is then shown to be a max-min composite formulation. To solve the problem, we propose two methods, (1) route-associated power management (RAPM), and (2) link-associated power management (LAPM). Considering computation-restricted sensor nodes, the RAPM scheme is two-fold simplification; not only it can reduce power computation, but it also quickly determines the longest lifetime and proper transmit power for nodes. On the other hand, if computational cost is not a major concern in a sink node, the LAPM algorithm is more suitable than RAPM to solve the lifetime maximization problem, in terms of accuracy. Finally, we analyze the performance of these two methods. The results demonstrate that the LAPM scheme is very comparable to a heuristic approach.
摘 要 i
Abstract iii
List of Figures vii
List of Tables viii
Chapter 1 Introduction 1
1.1 Motivation 1
1.2 Proposed Schemes on WSN 4
1.2.1 Efficient Power Control on WSN 4
1.2.2 Lifetime Maximization on WMSN 7
1.3 Organization of the Dissertation 9
Chapter 2 Survey of Literature 11
2.1 Works on Power Management 11
2.1.1 Efficient Power on QoS Criterion 12
2.1.2 Power Management on Link Scheduling 13
2.1.3 Power-aware Protocol 14
2.2 Works on Lifetime Maximization 15
2.2.1 Topics on Network Lifetime 15
2.2.2 Topics on Multicasting 17
2.2.3 Topics on Efficient Routing 18
2.2.4 Topics on Special Purposes 19
Chapter 3 Minimization of Power Consumptions 22
3.1 Model Description 22
3.2 Definition of QoS Criterion 25
3.3 Route Selection with Power Minimization 30
3.4 Optimal Power Determination 34
3.5 Power Control for Multimedia 39
Chapter 4 Lifetime Maximization 41
4.1 How to Maximize Lifetime 41
4.1.1 System Description 41
4.1.2 Problem Formulation 43
4.2 Route-Associated Power Management 46
4.3 Link-Associated Power Management 53
Chapter 5 Numerical Analysis 62
5.1 Analysis of Power Control 62
5.1.1 Comparison with a Previous Work 62
5.1.2 Study of Different Parameters 64
5.1.3 Numerical Results 66
5.2 Case in Heterogeneous Networks 68
5.3 Analysis of Session Lifetime 75
Chapter 6 Conclusions and Future Works 84
6.1 Conclusions 84
6.2 Future Works 85
Bibliography 87
Vita 94
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