book

Wireless Sensor Networks

by Mohamed Ibnkahla

December 2017

Intermediate to advanced

282 pages

7h 51m

English

CRC Press

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1.1 Introduction1.1.1 Application Layer Requirements1.1.2 Physical Layer Constraints and Requirements1.1.3 Network Status Sensors1.2 Related Work1.2.1 Knowledge Plane and Cognitive Networks1.2.2 Cognitive Techniques Used in Sensor Networks1.3 A Generic Architecture for Cognitive Wireless Sensor Networks1.3.1 ZigBee Stack1.3.2 Network Status Sensors1.3.3 Inputs from the Physical Layer1.3.4 Change Monitoring Engine1.3.5 Knowledge Base1.3.6 Cognitive Decision-Making Engine1.3.7 Optimization Engine1.3.8 Interaction among the Cognitive Components1.4 ConclusionReferences
2.1 Introduction2.1.1 History of Cognitive Radio2.1.2 MIMO and Cooperative Diversity Techniques2.2 Spectrum Awareness2.2.1 Spectrum Sensing Challenges2.2.2 Spectrum Sensing Methods2.3 Cooperative Sensing2.3.1 Narrowband Cooperative Sensing2.3.2 Wideband Cooperative Sensing2.4 Dynamic Spectrum Access2.4.1 MIMO Systems for Spectrum Access2.4.2 Cooperative Spectrum Access2.5 ConclusionReferences
3.1 Introduction3.2 System Model3.2.1 Information Source and Sink3.2.2 Transmitter3.2.3 Receiver3.2.4 Wireless Channel3.2.5 Lognormal Shadowing Channel Model3.2.6 Rician Fading Channel Model3.3 Adaptive Transmission and Feedback Communication System3.3.1 Introduction3.3.2 Adaptive System Design3.3.3 Link Adaptations3.3.4 Link Adaptation for Energy-Constrained Networks3.3.5 Adaptive Techniques3.4 Multihop Relay Network and Energy-Constrained Network Analysis3.4.1 Energy Consumption with Adaptation Techniques3.4.2 Single-Hop Discrete Rate Continuous Power Adaptation3.4.3 Multihop Relay Networks3.4.4 MAC Layer Adaptive Modulation and Adaptive Sleep3.5 Simulation Examples and Illustrations3.5.1 Simulation Objective3.5.2 Energy Optimization3.5.3 Power Control Adaptation Policies3.5.4 Two-Link Relay Network Adaptation3.5.5 Performance of Commercial WSN Nodes3.6 ConclusionsReferences

4.1 Introduction4.2 Design Challenges and Considerations4.2.1 QoS Metrics4.2.2 Design Challenges4.2.3 Network Resources and Performance Metrics4.3 Taxonomy of QoS Routing Protocols in Multihop Networks4.3.1 QoS Routing in MANETs4.3.2 QoS Routing in WMNs4.3.3 QoS Routing in VANETs4.3.4 QoS Routing in WSNs4.3.5 Limitations to Routing Design across Different Networks4.4 Comparison between QoS Routing Protocols4.5 Challenges and Future Directions4.6 ConclusionsReferences
5.1 Overview of Routing Protocols in Wireless Sensor Networks5.1.1 Wireless Sensor Network Routing Protocols5.1.2 Energy-Aware Protocols5.1.3 Diversity Routing5.1.4 Cognitive Protocols5.2 System Models5.2.1 The Propagation Model5.2.2 Network Lifetime5.3 Cognitive Diversity Routing5.3.1 Cognitive Diversity Routing Methodology5.3.2 Implementation in OPNET Modeler 15.05.3.3 Pseudo-Code for Cognitive Diversity Routing5.4 Priority Node Selection5.5 Performance Evaluation5.5.1 Grid Deployment5.5.2 Deployment with Forced Path5.5.3 Random Deployment5.5.4 Node Density and Scalability5.5.5 Optimization5.5.6 Giving Emphasis to the Channel Profile5.6 ConclusionReferences
6.1 Introduction6.2 Related Work6.3 Fundamentals of WCM6.4 Designing WCMs to Achieve Cognition in WSNs6.4.1 Designing a WCM for Transmit Power, Data Rate, and Duty Cycle Adaptation6.4.2 Designing a WCM to Guarantee Connectivity and Coverage6.4.3 Designing a WCM for Congestion Control6.4.4 End-to-End Goal and the Overall WCM6.5 Simulation Results6.5.1 Evaluation Using Uniform Random Topology6.5.2 Evaluation Using Bottleneck Paths6.5.3 Complexity of the System6.6 ConclusionsReferences
7.1 Introduction7.2 Hardware Implementation7.2.1 GPS and INS Data Acquisition7.2.2 Navigation Data Processing7.2.3 Power Management MCU7.2.4 Wireless Radio Frequency Transceiver7.2.5 Power Supply7.3 System Software Design7.3.1 System Initialization7.3.2 System Power Management7.3.3 DSP Memory Allocation7.3.4 ZigBee Node Software Design7.4 Test Results7.4.1 Equipment and Setup7.4.2 Real-Time Performance Analysis7.4.3 Random Error Modeling7.4.4 Open Field Tests7.5 ConclusionReferences

Content preview from Wireless Sensor Networks

Introduction to Cognitive Approaches in Wireless Sensor Networks

1.1 Introduction

Wireless sensor networks (WSNs) are constituted of small-size, lightweight, low-power nodes deployed in large numbers. They are used in a variety of applications, such as environment monitoring, health care, precision agriculture, security, food safety, water quality monitoring, intelligent transportation, smart grid communications, and so forth. Advancement in the field of low-power very-large-scale integration (VLSI) and embedded systems, together with the convergence of communication and computing technologies, has enabled the miniaturization of the sensing, processing, and communication devices. This has led to an expansion in the application domain ...

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Publisher Resources

ISBN: 9781439852811

Wireless Sensor Networks

by Mohamed Ibnkahla

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.

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