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Advances in sensor networks research /
A wireless sensor network is comprised of a large number of inexpensive battery-powered, self-organizing sensor nodes. The sensor nodes can communicate among themselves and send their data through the network to a main location or sink where the data can be observed and analyzed. Wireless sensor net...
| Clasificación: | Libro Electrónico |
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| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York :
Nova Publishers,
[2014]
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| Colección: | Electrical engineering developments series.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- ADVANCES IN SENSOR NETWORKS RESEARCH; ADVANCES IN SENSOR NETWORKS RESEARCH; Library of Congress Cataloging-in-Publication Data; CONTENTS; PREFACE; AUTOBIOGRAPHICAL NOTES OF CONTRIBUTORS; Chapter 1: RESEARCH ISSUES AND CHALLENGES IN WIRELESS SENSOR NETWORKS; ABSTRACT; INTRODUCTION; CHALLENGES IN HEALTH CARE APPLICATIONS; CHALLENGES IN ELECTRIC SYSTEM AUTOMATION APPLICATIONS; CHALLENGES IN INDUSTRIAL WIRELESS SENSOR NETWORKS; CHALLENGES IN UNDERWATER SENSOR NETWORKS; CHALLENGES IN WIRELESS UNDERGROUND SENSOR NETWORKS; CONCLUSION; REFERENCES.
- Chapter 2: NETWORK REPROGRAMMING FOR WIRELESS SENSOR NETWORKS: CHALLENGES AND STATE OF THE ARTABSTRACT; INTRODUCTION; NETWORK REPROGRAMMING CHALLENGES; INCREMENTAL REPROGRAMMING; DATA DISSEMINATION; SECURITY CONSIDERATION; CONCLUSION; ACKNOWLEDGMENTS; REFERENCES; Chapter 3: RADIO PROPAGATION MODELS FOR WIRELESS SENSOR NETWORK SIMULATIONS; ABSTRACT; INTRODUCTION; THE BASICS OF PROPAGATION MECHANISM; FREE SPACE OUTDOOR PATH LOSS MODEL; INDOOR PATH LOSS PROPAGATION MODEL; PATH LOSS MODEL FOR FOREST SCENARIO; PATH LOSS MODEL FOR UNDERGROUND WIRELESS SENSOR NETWORK.
- PATH LOSS MODEL FOR UNDERWATER SENSOR NETWORKSPATH LOSS MODEL FOR WIRELESS BODY AREA NETWORK; APPLYING PROPAGATION MODELS TO SIMULATION FRAMEWORK; CONCLUSION; REFERENCES; Chapter 4: A PREDICTIVE ACTIVE METHOD FOR WIRELESS SENSOR NETWORK ROUTING; Abstract; 1. Introduction; 2. RelatedWork; 3. Active Routing; 4. Implementation; 5. Simulation Results; 6. Conclusion; References; Chapter 5: COOPERATION IN COGNITIVE WIRELESS SENSOR NETWORKS; 1. Introduction; 2. CognitiveWireless Sensor Networks; 3. Cooperative Diversity; 4. Cooperative Spectrum Sensing; 5. Cluster-based Cooperative Spectrum Sensing.
- 6. ConclusionReferences; Chapter 6: IEEE 802.15.4 (2003 ̃2012E) BEACON ENABLED MODE AND ITS ENHANCEMENTS FOR PERSONAL AREA NETWORKS; ABSTRACT; 1. IEEE 802.15.4 OVERVIEW; 2. 4D MARKOV CHAIN MODEL FOR IEEE 802.15.4 BEACON ENABLED MODE; 3. ENHANCED IEEE 802.15.4 BEACON ENABLED MODE; 4. ENHANCED FAST ASSOCIATION FOR 802.15.4E-2012 DSME MAC PROTOCOL; ACKNOWLEDGMENTS; REFERENCES; Chapter 7: QUANTIZATION INFORMATION-BASED DATA FUSION FOR TARGET TRACKING IN WIRELESS SENSOR NETWORKS; Abstract; 1. Introduction; 2. Modeling Assumptions and Preliminaries.
- 3. Data Fusion using Quantized Innovations and DKF4. Performance Analysis; 5. Simulation Results; 6. Conclusion; References; Chapter 8: WIRELESS SENSOR NETWORKS FOR CONCRETE AND ARCHITECTURAL HERITAGE APPLICATIONS; ABSTRACT; 1. INTRODUCTION; 2. WIRELESS SENSOR NETWORKS; 3. FIRST APPLICATION: WSNS TO MONITOR THE SETTING AND HARDENING PROCESSES OF CEMENTITIOUS MATERIALS; 4. SECOND APPLICATION: WSNS TO STUDY THE DECAY ASSESSMENT IN ARCHITECTURAL HERITAGE CONSERVATION; CONCLUSION; ACKNOWLEDGMENTS; REFERENCES; Chapter 9: Background on Wireless Sensor Networks Security; Abstract.