无线传感器网络中高能效路由技术_PDF下载[158MB-百度云]汪祥莉

内容简介

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　　contains the authors research results on energy—efficient routing technologies in wireless sensor network， and its main content includes the following： clustering heterogeneous network routing algorithm based on mixed integer programming； adaptive aggregation routing and data fusion algorithms in wireless sensor networks； the lowest energy consumption routing algorithm，’the energy balancing and lowest energy—con— sumption routing algorithm， and the lcast delay and low energy—consumption routing algOfithm on the basis of dynamic programming method.

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Chapter 1 Introduction of Wireless Sensor Networks1.1 Basic concepts of wireless sensor networks1.2 Applications of WSNs1.3 Research contents of WSNs1.4 Performance evaluation index in WSNReferencesChapter 2 Routing Problems in Wireless Sensor Networks2.1 Design constraints for routing in WSNs2.2 Classification of routing protocols for WSNs2.3 Analysis and comparison of typical routing protocols in WSNs2.4 Energy consumption characteristics and model analysis of sensor node2.5 Key technologies of building energy-efficient routing in WSNsReferencesChapter 3 Optimal Clustering Routing Algorithm for Wireless Sensor Networks with Small-world Property3.1 Introduction of complex networks3.2 Models of complex networks3.3 Optimal clustering routing algorithm for wireless sensor networks with small-world propertyReferencesChapter 4 Adaptive Aggregation Routing and Data Fusion Algorithms in Wireless Sensor Networks4.1 Introduction of aggregation routing4.2 An adaptive aggregation routing algorithm in WSNs4.3 An energy balance mobile agent routing algorithm based on ant colony optimization in WSNs4.4 De-noising preprocessing before data fusion in WSNs4.5 Data fusion algorithm of wireless multimedia sensor network based on nonsubsam-pled pyramid and bidimensional empirical decompositionReferencesChapter 5 Efficient Energy Routing Algorithm Based on Dynamic Programming in Wireless Sensor Networks5.1 Basic concepts of dynamic programming method5.2 Establishment of standard dynamic programming model for WSNs5.3 LECR based on dynamic programming5.4 EB～LECR based on dynamic programming5.5 LD-LECR based on the dynamic programming5.6 Simulation and analysis5.7 ConclusionReferencesChapter 6 Summary and Outlook6.1 Research work summary6.2 The next research work