隨著科學(xué)技術(shù)的進(jìn)步,智能無(wú)線傳感器網(wǎng)絡(luò)的應(yīng)用前景廣闊。無(wú)處不在的無(wú)線連接和多媒體應(yīng)用的持續(xù)增長(zhǎng)對(duì)無(wú)線傳感器網(wǎng)絡(luò)提出了更高的要求。特別地,在沒(méi)有能源采集源的情況下,網(wǎng)絡(luò)中節(jié)點(diǎn)的電池容量有限,無(wú)線傳感器網(wǎng)絡(luò)需要更高的能源效率。分簇網(wǎng)絡(luò)設(shè)計(jì)和節(jié)能路由協(xié)議是無(wú)線傳感器網(wǎng)絡(luò)中提高能源效率的重要手段。分簇?zé)o線傳感器網(wǎng)絡(luò)是能量受限的網(wǎng)絡(luò),它與網(wǎng)絡(luò)生命周期和吞吐量問(wèn)題密不可分,通過(guò)簇頭的最優(yōu)選擇來(lái)解決諸如“熱點(diǎn)”之類的能量不平衡問(wèn)題,在分簇網(wǎng)絡(luò)設(shè)計(jì)中是一種合理的舉措;頻繁的重新分簇過(guò)程以及相應(yīng)的路由變化會(huì)產(chǎn)生較大的消息廣播開銷,進(jìn)而導(dǎo)致較高的能量消耗。為了解決上述問(wèn)題,通過(guò)能量感知路由來(lái)最小化現(xiàn)有協(xié)議中的計(jì)算開銷,有助于節(jié)省能耗,并最終使得網(wǎng)絡(luò)整體性能最大化。本文研究了無(wú)線傳感器網(wǎng)絡(luò)中的分簇網(wǎng)絡(luò)設(shè)計(jì)、能效分簇路由、吞吐率優(yōu)化以及三維節(jié)點(diǎn)定位問(wèn)題。本文的主要?jiǎng)?chuàng)新工作如下:（1）在無(wú)線傳感器網(wǎng)絡(luò)中,現(xiàn)有的網(wǎng)絡(luò)性能優(yōu)化技術(shù)需要進(jìn)一步改進(jìn)。為此,本文針對(duì)大規(guī)模無(wú)線傳感器網(wǎng)絡(luò),提出一種混合分簇網(wǎng)絡(luò)設(shè)計(jì)方法。該方法首先應(yīng)用磁盤分區(qū)的思想,將大規(guī)模網(wǎng)絡(luò)分成水波紋形狀的分簇,并用功率調(diào)整技術(shù)來(lái)設(shè)計(jì)由基站初始化的同心層... 

【文章來(lái)源】：大連理工大學(xué)遼寧省 211工程院校 985工程院校 教育部直屬院校

【文章頁(yè)數(shù)】：128 頁(yè)

【學(xué)位級(jí)別】：博士

【文章目錄】：
ABSTRACT
摘要
List of Abbreviations
1 Introduction
    1.1 Research Background and Significance
    1.2 State of the Art of the Related Research
        1.2.1 Efficient Cluster/Network Design
        1.2.2 Efficient CH Selection
        1.2.3 Network Throughput Optimization
        1.2.4 3-D Node Localization
    1.3 Main Contents and Organization of the Dissertation
2 Background Knowledge
    2.1 Introduction
    2.2 Network Design
        2.2.1 Features of WSN
        2.2.2 Traditional Clustered WSN
        2.2.3 IoT and Smart WSN
        2.2.4 System Architecture
    2.3 Network Lifetime
        2.3.1 Reasons for Energy Waste
        2.3.2 Classification of Energy Efficient Routing
    2.4 Throughput Optimization in WSN
        2.4.1 Energy Aware Routing and Performance Evaluation
        2.4.2 Schedule Length
        2.4.3 Network Throughput
        2.4.4 Average End to End Delay
        2.4.5 Average Maximum Queue Length
    2.5 Node Localization in Wireless Sensor Network
        2.5.1 Research Issues
        2.5.2 Deployment Strategy
        2.5.3 Localization
        2.5.4 Node Localization Techniques
        2.5.5 RSSI Measurement Algorithm
        2.5.6 Received Signal Strength Indicator
    2.6 Research Challenges
    2.7 Summary
3 Water Rippling Shaped Clustering Strategy for Efficient Performance of Wireless SensorNetworks
    3.1 Introduction
    3.2 System Model
        3.2.1 Energy Consumption in Data Communications for One Round
        3.2.2 Network Model
    3.3 Water Rippling Shaped Clustering Strategy
        3.3.1 Construction of Layers
        3.3.2 Cluster Size and Width
        3.3.3 Cluster Design
        3.3.4 Pivotal Area of Cluster Re-Clustering
        3.3.5 Selection of Cluster Head
    3.4 Simulation and Results Discussion
    3.5 Summary
4 OPEN: Optimized Path Planning Algorithm with Energy Efficiency and Extending Network-Lifetime in WSN
    4.1 Introduction
    4.2 Network Design
        4.2.1 Radio Model
    4.3 Optimized Path Planning Algorithm
        4.3.1 Cluster Organization Phase
        4.3.2 Neighbor Information Collection Phase
        4.3.3 Cluster Head Election Phase
        4.3.4 Node Association Phase
        4.3.5 Cluster Communication Phase
        4.3.6 Transmission Phase
    4.4 Simulations and Results Discussion
    4.5 Summary
5 Inter-operable and Energy Aware Routing for Throughput Optimization in Clustered IoT-Wireless Sensor Networks
    5.1 Introduction
    5.2 Energy Consumption Model
    5.3 Features of Energy and Inter-operable Aware Routing Scheme
    5.4 Energy and Inter-operable Aware Routing Scheme
        5.4.1 Path Set-up Phase (Route Discovery)
        5.4.2 Cluster Formation
        5.4.3 Cluster Head Rotation
        5.4.4 Network Operation Phase
        5.4.5 Comparative Analysis of Proposed Scheme with three Variants of LEACH
    5.5 Simulation Results and Discussion
    5.6 Summary
6 3-D Weighted Centroid Algorithm & RSSI Ranging Model Strategy for Node Localiza-tion in WSN Based on Smart Devices
    6.1 Introduction
    6.2 Localization Architecture
    6.3 3-D Weighted Centroid Algorithm and RSSI Ranging Model Strategy
        6.3.1 Received Signal Strength Indicator (RSSI)
        6.3.2 RSSI Ranging Principles
        6.3.3 Maximum Likelihood Estimation Method
        6.3.4 3-D Positioning Algorithm with Weighted Centroid Localization
        6.3.5 RSSI Measurement Algorithm
    6.4 Simulation and Results Discussion
    6.5 Summary
7 Conclusion and Future Work
    7.1 Conclusion
    7.2 Abstract of Innovation Points
    7.3 Future Work
References
Published Academic Articles during PhD period
Acknowledgements
Author Introduction


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