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无线传感器网络中高能效路由技术
  • 作 者:汪祥莉,王文波著
  • 出 版 社:武汉:武汉理工大学出版社
  • 出版年份:2014
  • ISBN:9787562944720
  • 标注页数:140 页
  • PDF页数:148 页
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Chapter 1 Introduction of Wireless Sensor Networks 1

1.1 Basic concepts of wireless sensor networks 1

1.2 Applications of WSNs 9

1.3 Research contents of WSNs 13

1.4 Performance evaluation index in WSN 15

References 17

Chapter 2 Routing Problems in Wireless Sensor Networks 20

2.1 Design constraints for routing in WSNs 20

2.2 Classification of routing protocols for WSNs 23

2.3 Analysis and comparison of typical routing protocols in WSNs 24

2.4 Energy consumption characteristics and model analysis of sensor node 33

2.5 Key technologies of building energy-efficient routing in WSNs 36

References 39

Chapter 3 Optimal Clustering Routing Algorithm for Wireless Sensor Networks with Small-world Property 42

3.1 Introduction of complex networks 42

3.2 Models of complex networks 43

3.3 Optimal clustering routing algorithm for wireless sensor networks with small-world property 48

References 68

Chapter 4 Adaptive Aggregation Routing and Data Fusion Algorithms in Wireless Sensor Networks 71

4.1 Introduction of aggregation routing 71

4.2 An adaptive aggregation routing algorithm in WSNs 74

4.3 An energy balance mobile agent routing algorithm based on ant colony optimization in WSNs 83

4.4 De-noising preprocessing before data fusion in WSNs 88

4.5 Data fusion algorithm of wireless multimedia sensor network based on nonsubsam-pied pyramid and bidimensional empirical decomposition 104

References 114

Chapter 5 Efficient Energy Routing Algorithm Based on Dynamic Programming in Wireless Sensor Networks 119

5.1 Basic concepts of dynamic programming method 120

5.2 Establishment of standard dynamic programming model for WSNs 124

5.3 LECR based on dynamic programming 125

5.4 EB-LECR based on dynamic programming 128

5.5 LD-LECR based on the dynamic programming 130

5.6 Simulation and analysis 133

5.7 Conclusion 136

References 136

Chapter 6 Summary and Outlook 138

6.1 Research work summary 138

6.2 The next research work 140

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