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  IEEE802....
  ￥43.45元

　　The promising high data rate wireless applications at millimeter wave frequencies in general and 60 GHz in particular have gained much attention in recent years. However，challenges related to circuit，layout and measurements during mm-wave CMOS IC design have to be overcome before they can become viable for mass market. 60-GHz CMOS Phase-Locked Loops focusing on phase-locked loops for 60 GHz wireless transceivers elaborates these challenges and proposes solutions for them. The system level design to circuit level implementation of the complete PLL，along with separate implementations of individual components such as voltage controlled oscillators，injection locked frequency dividers and their combinations，are included. Furthermore，to satisfy a number of transceiver topologies simultaneously，flexibility is introduced in the PLL architecture by using new dual-mode ILFDs and switchable VCOs，while reusing the low frequency components at the same time.

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• 
  1 Wireless Sensor Network
  
  1.1 Wireless Sensor Networks Fundamentals
  
  1.1.1 Main Features of WSNs
  
  1.1.2 Issues Related to Energy Management
  
  1.2 Applications
  
  1.3 IEEE 802.15.4 Technology
  
  1.3.1 IEEE 802.15.4 Physical Layer
  
  1.3.2 IEEE 802.15.4 Network Topologies and Operational Modes
  
  1.3.3 IEEE 802.15.4 MAC Layer
  
  1.3.4 Data Transfer Protocol and MAC Frames
  
  1.3.5 The IEEE 802.15.4 Topology Formation Procedure
  
  1.4 Zigbee Upper Layers
  
  1.4.1 Zigbee Topologies
  
  1.4.2 The Zigbee Tree-Based Topology
  
  1.4.3 The Zigbee Mesh Topology
  
  1.5 Current and Future Research on WSNs
  
  1.5.1 Application-Agnostic Research Trends
  
  1.5.2 Market-and Application-Driven Research Trends
  
  1.6 Further Readings
  
  References
  
  Part Ⅱ Distributed Processing
  
  2 Distributed Detection of Spatially Constant Phenomena
  
  2.1 Distributed Detection in Clustered Sensor Networks
  
  2.1.1 Preliminaries on Distributed Binary Detection
  
  2.1.2 Analytical Framework
  
  2.1.3 Communication-Theoretic Characterization
  
  2.1.4 Joint Communication/lnformation-Theoretic Characterization
  
  2.1.5 Realistic Clustered Networks with Data Fusion
  
  2.2 Extending the Lifetime of Clustered Sensor Networks
  
  2.2.1 Sensor Network Lifetime under a Physical Layer QoS Condition
  
  2.2.2 Analytical Computation of Network Lifetime
  
  2.2.3 Numerical Results
  
  2.2.4 Energy Budget
  
  2.2.5 Noisy Communication Links
  
  2.2.6 Throughput and Delay with Varying Sensor Network Lifetime
  
  2.3 Impact of Different SNRs at the Sensors
  
  2.3.1 Ideal Communication Links
  
  2.3.2 Noisy Communication Links
  
  2.3.3 Sensor SNR Profiles
  
  2.3.4 Numerical Results
  
  2.3.5 Experimental Validation
  
  2.4 On the Interplay Between Decoding and Fusion
  
  2.4.1 Distributed Channel Coding and Detection/Decoding/Fusion Strategies
  
  2.4.2 Ideal Observations at the Sensors
  
  2.4.3 Noisy Observations at the Sensors
  
  2.4.4 Impact of Noisy Communication Links Towards the Relay
  
  2.4.5 Numerical Results
  
  2.5 Concluding Remarks
  
  2.6 Further Readings
  
  References
  
  3 Distributed Detection of Spatially Non-Constant Phenomena
  
  3.1 Ideal Communication Links
  
  3.1.1 MMSE Fusion Rule
  
  3.1.2 Simplified Fusion Rule with a Single Boundary
  
  3.1.3 Simplified Fusion Rule with Multiple Boundaries
  
  3.2 Noisy Communication Links
  
  3.2.1 MMSE Fusion Rule
  
  3.2.2 Simplified Fusion Rule
  
  3.3 Numerical Results
  
  3.3.1 ldeal Communication Links
  
  3.3.2 Noisy Communication Links
  
  3.4 Computational Complexity
  
  3.5 Concluding Remarks
  
  3.6 Further Readings
  
  References
  
  Part Ⅲ MAC and Connectivity
  
  4 Tree-Based Topologies for Multi-Sink Networks
  
  4.1 Aims of the Study
  
  4.2 Channel and Link Models
  
  4.3 Connectivity Properties in PPP Fields
  
  4.4 Reference Scenario
  
  4.5 On the Design of Optimum Tree-Based Topologies
  
  4.5.1 The Multi-level Tree: Mathematica1 Analysis
  
  4.5.2 Mathematica1 Ana1ysis Results
  
  4.5.3 The Three-Level Tree:Simulation Environment
  
  4.5.4 Simulation Results
  
  4.6 Connectivity of Multi-Sink Multi-Hop WSNs in Bounded Regions
  
  4.6.1 Connectivity in Unbounded Single-Hop Networks
  
  4.6.2 Connectivity in Bounded Single-Hop Networks
  
  4.6.3 Connectivity in Bounded Multi-Hop Networks
  
  4.6.4 Energy Consumption
  
  4.6.5 Numerical Results
  
  4.7 Concluding Remarks
  
  4.8 Further Readings
  
  References
  
  5 Performance Analysis of the IEEE 802.15.4 MAC Protocol
  
  5.1 The Non Beacon-and Beacon-Enabled MAC Protocols
  
  5.2 Reference Scenario and Model Assumptions
  
  5.3 The Non Beacon-Enabled Model
  
  5.3.1 Node States
  
  5.3.2 Formulation of the Mathematical Model
  
  5.3.3 Performance Metrics Derived from the Model
  
  5.3.4 Numerica1 Results
  
  5.4 The Beacon-Enabled Model
  
  5.4.1 Performance Metrics Derived from the Model
  
  5.4.2 Formulation of the Mathematica1 Model of the CSMNCA Algorithm
  
  5.4.3 Performance Metrics Related to the CAP Portion
  
  5.4.4 Numerica1 Results:The Star Topology
  
  5.4.5 The Tree-Based Topology
  
  5.4.6 Numerica1 Results:Tree-Based Topology
  
  5.5 Comparison Between the Beacon-and Non Beacon-Enabled Modes
  
  5.6 Concluding Remarks
  
  5.7 Further Readings
  
  References
  
  6 Area Throughput for Multi-Sink Wireless Sensor Networks
  
  6.1 Aims of the Model
  
  6.2 Assumptions and Reference Scenario
  
  6.3 Evaluation of the Area Throughput
  
  6.3.1 Joint MAC/Connectivity Probability of Success
  
  6.3.2 Area Throughput
  
  6.4 Numerical Results
  
  6.4.1 The Optimum Aggregation Strategy
  
  6.4.2 Comparing Beacon-and Non Beacon-Enabled Modes
  
  6.5 Concluding Remarks
  
  References
  
  Part Ⅳ Cross-Layer Design
  
  7 Decentralized Detection in IEEE 802.15.4 Wireless Sensor Networks
  
  7.1 Preliminaries
  
  7.1.1 Decentralized Detection
  
  7.1.2 The Access to the Channel
  
  7.2 Impact of MAC on Decentralized Detection
  
  7.3 Numerical Results
  
  7.4 Concluding Remarks
  
  References
  
  Index]]>