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Fog-Enabled Intelligent Iot Systems
Yang Yang, Xiliang Luo, Xiaoli Chu, Ming-Tuo Zhou
Livre relié | Anglais
137,45 €
+ 274 points
Format
Description
This book first provides a comprehensive review of state-of-the-art IoT technologies and applications in different industrial sectors and public services. The authors give in-depth analyses of fog computing architecture and key technologies that fulfill the challenging requirements of enabling computing services anywhere along the cloud-to-thing continuum. Further, in order to make IoT systems more intelligent and more efficient, a fog-enabled service architecture is proposed to address the latency requirements, bandwidth limitations, and computing power issues in realistic cross-domain application scenarios with limited priori domain knowledge, i.e. physical laws, system statuses, operation principles and execution rules. Based on this fog-enabled architecture, a series of data-driven self-learning applications in different industrial sectors and public services are investigated and discussed, such as robot SLAM and formation control, wireless network self-optimization, intelligent transportation system, smart home and user behavior recognition. Finally, the advantages and future directions of fog-enabled intelligent IoT systems are summarized.
- Provides a comprehensive review of state-of-the-art IoT technologies and applications in different industrial sectors and public services
Presents a fog-enabled service architecture with detailed technical approaches for realistic cross-domain application scenarios with limited prior domain knowledge
- Outlines a series of data-driven self-learning applications (with new algorithms) in different industrial sectors and public services
Spécifications
Parties prenantes
- Auteur(s) :
- Editeur:
Contenu
- Nombre de pages :
- 217
- Langue:
- Anglais
Caractéristiques
- EAN:
- 9783030231842
- Date de parution :
- 28-10-19
- Format:
- Livre relié
- Format numérique:
- Genaaid
- Dimensions :
- 156 mm x 234 mm
- Poids :
- 508 g
