Wireless Sensor Networks

Wireless Sensor Networks

by Mohamed Ibnkahla
Released December 2017
Publisher(s): CRC Press
ISBN: 9781351833240

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Book description

With classical techniques for data transmission soon reaching their limitations, cognitive approaches may offer a solution to user requirements for better coverage, connectivity, security, and energy efficiency at lower cost. Wireless Sensor Networks: A Cognitive Perspective presents a unified view of the state of the art of cognitive approaches in telecommunications. A benchmark in the field, it brings together research that has previously been scattered throughout conference and journal papers.

Cutting-Edge Topics in Cognitive Communications

After a review of the cognitive concept and approaches, the book outlines a generic architecture for cognition in wireless sensor networks. It then targets specific issues that need to be addressed through cognition, from cognitive radio and spectrum access to routing protocols. The book also explores how to use weighted cognitive maps to improve network lifetime through optimizing routing, medium access, and power control while fulfilling end-to-end goals. The final chapter discusses the implementation of hardware for GPS/INS-enabled wireless sensor networks. This addresses an important need for real-time node position information in many wireless sensor network applications and communication protocols.

Real-World Applications of Wireless Sensor Networks using the Cognitive Concept

Written in a tutorial style, the book supplies an in-depth survey of each topic, accompanied by detailed descriptions of the algorithms and protocols. It also provides a step-by-step analysis of the various communications systems through extensive computer simulations and illustrations. Examples cover environmental monitoring, vehicular communications, tracking, and more. A comprehensive overview of cognitive communications in wireless sensor networks, this work lays the foundations for readers to participate in a new era of research in this emerging field.

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Table of Contents
  6. Preface
  7. Acronyms
  8. 1 Introduction to Cognitive Approaches in Wireless Sensor Networks
    1. 1.1 Introduction
      1. 1.1.1 Application Layer Requirements
      2. 1.1.2 Physical Layer Constraints and Requirements
      3. 1.1.3 Network Status Sensors
    2. 1.2 Related Work
      1. 1.2.1 Knowledge Plane and Cognitive Networks
      2. 1.2.2 Cognitive Techniques Used in Sensor Networks
    3. 1.3 A Generic Architecture for Cognitive Wireless Sensor Networks
      1. 1.3.1 ZigBee Stack
      2. 1.3.2 Network Status Sensors
      3. 1.3.3 Inputs from the Physical Layer
      4. 1.3.4 Change Monitoring Engine
      5. 1.3.5 Knowledge Base
      6. 1.3.6 Cognitive Decision-Making Engine
      7. 1.3.7 Optimization Engine
      8. 1.3.8 Interaction among the Cognitive Components
    4. 1.4 Conclusion
    5. References
  9. 2 Cognitive Radio Networks and Dynamic Spectrum Access
    1. 2.1 Introduction
      1. 2.1.1 History of Cognitive Radio
      2. 2.1.2 MIMO and Cooperative Diversity Techniques
    2. 2.2 Spectrum Awareness
      1. 2.2.1 Spectrum Sensing Challenges
      2. 2.2.2 Spectrum Sensing Methods
    3. 2.3 Cooperative Sensing
      1. 2.3.1 Narrowband Cooperative Sensing
      2. 2.3.2 Wideband Cooperative Sensing
    4. 2.4 Dynamic Spectrum Access
      1. 2.4.1 MIMO Systems for Spectrum Access
      2. 2.4.2 Cooperative Spectrum Access
    5. 2.5 Conclusion
    6. References
  10. 3 Adaptive Modulation, Adaptive Power Allocation, and Adaptive Medium Access
    1. 3.1 Introduction
    2. 3.2 System Model
      1. 3.2.1 Information Source and Sink
      2. 3.2.2 Transmitter
      3. 3.2.3 Receiver
      4. 3.2.4 Wireless Channel
      5. 3.2.5 Lognormal Shadowing Channel Model
      6. 3.2.6 Rician Fading Channel Model
    3. 3.3 Adaptive Transmission and Feedback Communication System
      1. 3.3.1 Introduction
      2. 3.3.2 Adaptive System Design
      3. 3.3.3 Link Adaptations
      4. 3.3.4 Link Adaptation for Energy-Constrained Networks
      5. 3.3.5 Adaptive Techniques
    4. 3.4 Multihop Relay Network and Energy-Constrained Network Analysis
      1. 3.4.1 Energy Consumption with Adaptation Techniques
      2. 3.4.2 Single-Hop Discrete Rate Continuous Power Adaptation
      3. 3.4.3 Multihop Relay Networks
      4. 3.4.4 MAC Layer Adaptive Modulation and Adaptive Sleep
    5. 3.5 Simulation Examples and Illustrations
      1. 3.5.1 Simulation Objective
      2. 3.5.2 Energy Optimization
      3. 3.5.3 Power Control Adaptation Policies
      4. 3.5.4 Two-Link Relay Network Adaptation
      5. 3.5.5 Performance of Commercial WSN Nodes
    6. 3.6 Conclusions
    7. References
  11. 4 Cross-Layer Approaches to QoS Routing in Wireless Multihop Networks
    1. 4.1 Introduction
      1. 4.2 Design Challenges and Considerations
      2. 4.2.1 QoS Metrics
      3. 4.2.2 Design Challenges
      4. 4.2.3 Network Resources and Performance Metrics
    2. 4.3 Taxonomy of QoS Routing Protocols in Multihop Networks
      1. 4.3.1 QoS Routing in MANETs
      2. 4.3.2 QoS Routing in WMNs
      3. 4.3.3 QoS Routing in VANETs
      4. 4.3.4 QoS Routing in WSNs
      5. 4.3.5 Limitations to Routing Design across Different Networks
    3. 4.4 Comparison between QoS Routing Protocols
    4. 4.5 Challenges and Future Directions
    5. 4.6 Conclusions
    6. References
  12. 5 Cognitive Diversity Routing
    1. 5.1 Overview of Routing Protocols in Wireless Sensor Networks
      1. 5.1.1 Wireless Sensor Network Routing Protocols
      2. 5.1.2 Energy-Aware Protocols
      3. 5.1.3 Diversity Routing
      4. 5.1.4 Cognitive Protocols
    2. 5.2 System Models
      1. 5.2.1 The Propagation Model
      2. 5.2.2 Network Lifetime
    3. 5.3 Cognitive Diversity Routing
      1. 5.3.1 Cognitive Diversity Routing Methodology
      2. 5.3.2 Implementation in OPNET Modeler 15.0
      3. 5.3.3 Pseudo-Code for Cognitive Diversity Routing
    4. 5.4 Priority Node Selection
    5. 5.5 Performance Evaluation
      1. 5.5.1 Grid Deployment
      2. 5.5.2 Deployment with Forced Path
      3. 5.5.3 Random Deployment
      4. 5.5.4 Node Density and Scalability
      5. 5.5.5 Optimization
      6. 5.5.6 Giving Emphasis to the Channel Profile
    6. 5.6 Conclusion
    7. References
  13. 6 Enabling Cognition through Weighted Cognitive Maps
    1. 6.1 Introduction
    2. 6.2 Related Work
    3. 6.3 Fundamentals of WCM
    4. 6.4 Designing WCMs to Achieve Cognition in WSNs
      1. 6.4.1 Designing a WCM for Transmit Power, Data Rate, and Duty Cycle Adaptation
      2. 6.4.2 Designing a WCM to Guarantee Connectivity and Coverage
      3. 6.4.3 Designing a WCM for Congestion Control
      4. 6.4.4 End-to-End Goal and the Overall WCM
    5. 6.5 Simulation Results
      1. 6.5.1 Evaluation Using Uniform Random Topology
      2. 6.5.2 Evaluation Using Bottleneck Paths
      3. 6.5.3 Complexity of the System
    6. 6.6 Conclusions
    7. References
  14. 7 Hardware Architecture for GPS/INS-Enabled Wireless Sensor Networks
    1. 7.1 Introduction
    2. 7.2 Hardware Implementation
      1. 7.2.1 GPS and INS Data Acquisition
      2. 7.2.2 Navigation Data Processing
      3. 7.2.3 Power Management MCU
      4. 7.2.4 Wireless Radio Frequency Transceiver
      5. 7.2.5 Power Supply
    3. 7.3 System Software Design
      1. 7.3.1 System Initialization
      2. 7.3.2 System Power Management
      3. 7.3.3 DSP Memory Allocation
      4. 7.3.4 ZigBee Node Software Design
    4. 7.4 Test Results
      1. 7.4.1 Equipment and Setup
      2. 7.4.2 Real-Time Performance Analysis
      3. 7.4.3 Random Error Modeling
      4. 7.4.4 Open Field Tests
    5. 7.5 Conclusion
    6. References
  15. Index

Product information

  • Title: Wireless Sensor Networks
  • Author(s): Mohamed Ibnkahla
  • Release date: December 2017
  • Publisher(s): CRC Press
  • ISBN: 9781351833240