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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.
About
the Author
Dr. Mohamed Ibnkahla is an associate professor in the Electrical and
Computer Engineering Department at in Queen’s University, Canada. He is
currently leading several projects applying wireless sensor networks to
several areas such as forest monitoring, wildlife and species at risk
tracking, smart grid, drinking water monitoring, food traceability,
intelligent transportation systems, and sustainable communities.
Contents:
Introduction to Cognitive Approaches in Wireless Sensor Networks
Introduction
Related Work
Generic Architecture for Cognitive Wireless Sensor Networks
Conclusion
References
Cognitive Radio Networks and Dynamic Spectrum Access
Introduction
Spectrum Awareness
Cooperative Sensing
Dynamic Spectrum Access
Conclusion
References
Adaptive Modulation, Adaptive Power Allocation, and Adaptive Medium
Access
Introduction
System Model
Adaptive Transmission and Feedback Communication System
Multihop Relay Network and Energy-Constrained Network Analysis
Simulation Examples and Illustrations
Conclusions
References
Cross-Layer Approaches to QoS Routing in Wireless Multihop Networks
Introduction
Design Challenges and Considerations
Taxonomy of QoS Routing Protocols in Multihop Networks
Comparison between QoS Routing Protocols
Challenges and Future Directions
Conclusions
References
Cognitive Diversity Routing
Overview of Routing Protocols in Wireless Sensor Networks
System Models
Cognitive Diversity Routing
Priority Node Selection
Performance Evaluation
Conclusion
References
Enabling Cognition through Weighted Cognitive Maps
Introduction
Related Work
Fundamentals of WCM
Designing WCMs to Achieve Cognition in WSNs
Simulation Results
Conclusions
References
Hardware Architecture for GPS/INS-Enabled Wireless Sensor Networks
Introduction
Hardware Implementation
System Software Design
Test Results
Conclusion
References
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Wireless Sensor Networks: A Cognitive Perspective (Adaptation in
Wireless Communications)