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E-raamat: Convergence of Internet of Things and Cloud for Smart Computing [Taylor & Francis e-raamat]

(Sinhgad Inst. SPPU, Pune, India.), (Sinhgad Institutes SPPU, Pune, India.), (Sinhgad Institutes SPPU, Pune, India.), (VIIT, Pune)
  • Formaat: 122 pages, 6 Tables, black and white; 17 Line drawings, black and white; 2 Halftones, black and white; 19 Illustrations, black and white
  • Sari: Intelligent Signal Processing and Data Analysis
  • Ilmumisaeg: 03-Aug-2021
  • Kirjastus: CRC Press
  • ISBN-13: 9781003189091
Teised raamatud teemal:
  • Taylor & Francis e-raamat
  • Hind: 77,54 €*
  • * hind, mis tagab piiramatu üheaegsete kasutajate arvuga ligipääsu piiramatuks ajaks
  • Tavahind: 110,77 €
  • Säästad 30%
Convergence of Internet of Things and Cloud for Smart ComputingSuurem pilt
  • Formaat: 122 pages, 6 Tables, black and white; 17 Line drawings, black and white; 2 Halftones, black and white; 19 Illustrations, black and white
  • Sari: Intelligent Signal Processing and Data Analysis
  • Ilmumisaeg: 03-Aug-2021
  • Kirjastus: CRC Press
  • ISBN-13: 9781003189091
Teised raamatud teemal:
Taylor & Francis e-raamatudRohkem infot Taylor & Francis e-raamatute kohta
Raamatu kodulehekülg: https://www.taylorfrancis.com/books/9781003189091
This book explains real-time IoT application development activity with basic understanding of the IoT architecture, use cases, smart/cloud computing and associated challenges in design and development of the IoT system. All the technical details related to protocol stack, technologies and platforms used for the implementation are explained.

This book presents the know-how of the real-time IoT application development activity including a basic understanding of the IoT architecture, use cases, smart computing, and the associated challenges in design and development of the IoT system. All the technical details related to protocol stack, technologies, and platforms used for the implementation are explained. It further includes techniques and case studies that include smart computing on the IoT–Cloud models along with test beds for experimentation purposes. The book aims at setting up the groundwork for the creation of applications that can help make day-to-day tasks simpler by meeting the needs of varied sectors like education, health care, agriculture, and so forth.

Features:

• Covers IoT cloud convergence with a focus on complex industrial IoT case studies.

• Discusses the broad background of IoT–Cloud convergence architectures and its fundamentals along with resource provisioning mechanisms.

• Emphasizes the use of context in developing context-aware IoT solutions.

• Presents a novel C-model that explains the IoT application development phases.

• Discusses a simplified convergence model that depicts the role of Cloud in an IoT application.

This book aims at graduate students, researchers, and professionals getting started in the IoT field.

Authors ix
Preface xii
Acknowledgments xv
1 Introduction
1(22)
1.1 Overview of IoT
1(14)
1.1.1 Technical Building Blocks
2(3)
1.1.2 IoT in Business
5(10)
1.2 IoT Architecture: Layered Perspective
15(1)
1.3 Smart Computing
16(1)
1.4 IoT Design: Issues and Challenges
17(6)
1.4.1 Design Issues
17(2)
1.4.2 Challenges
19(4)
2 Internet of Things Application Development
23(18)
2.1 Application Development Phases
23(3)
2.1.1 Principles
23(1)
2.1.2 C Model
24(2)
2.2 Wireless Technologies for IoT
26(3)
2.2.1 Bluetooth, Bluetooth Low Energy, and Bluetooth 5
26(1)
2.2.2 Zigbee
27(1)
2.2.3 WiFi
27(1)
2.2.4 6LowPAN
28(1)
2.2.5 3G/4G/5G
28(1)
2.2.6 LoRAWAN
29(1)
2.2.7 Sigfox
29(1)
2.3 Protocol Stack
29(6)
2.3.1 CoAP
29(2)
2.3.2 MQTT
31(1)
2.3.3 AMQP
32(1)
2.3.4 XMPP
33(1)
2.3.5 Comparison of Application Layer Protocols
33(2)
2.4 Electronic Platforms
35(6)
2.4.1 Arduino
35(1)
2.4.2 Raspberry Pi
36(1)
2.4.3 Beagle Bone
37(4)
3 Iot--Cloud Convergence
41(44)
3.1 Introduction
41(3)
3.1.1 Five Quintessential Characteristics of Cloud Computing
42(1)
3.1.2 Cloud Computing Service Models
43(1)
3.1.3 Cloud Computing Deployment Models
43(1)
3.2 Opportunities and Challenges
44(7)
3.2.1 IoT Requirements to Meet the Future Market Potential
44(2)
3.2.2 How Cloud Comes in Handy?
46(1)
3.2.3 Application Areas for IoT--Cloud Convergence
46(2)
3.2.4 Challenges That Come with Convergence
48(3)
3.3 Architecture for Convergence
51(8)
3.3.1 An Overview of Cloud-based IoT Services
51(4)
3.3.2 State of the Art: Convergence Architectures
55(3)
3.3.3 A Simplified Convergence Model
58(1)
3.4 Data Offloading and Computation
59(8)
3.4.1 Data Offloading and Computation: An IoT Perspective
59(1)
3.4.2 Edge Computing Technologies for an IoT Network Infrastructure
60(3)
3.4.3 Data Offloading and Computations
63(2)
3.4.4 Offloading Considerations and Challenges
65(2)
3.5 Dynamic Resource Provisioning
67(5)
3.5.1 The Resource Provisioning Activity and Requirements for IoT
67(3)
3.5.2 Dynamic Resource Provisioning
70(2)
3.6 Security Aspects in IoT Cloud Convergence
72(6)
3.6.1 ENISA's Categorized Security Challenges in IoT Cloud Convergence
72(2)
3.6.2 IoT Security Designs Based on Edge Computing
74(4)
3.7 IoT--Cloud Convergence: Test Beds and Technologies
78(7)
3.7.1 Overview of Testbeds and Platforms
78(7)
4 Smart Computing Over Iot--Cloud
85(28)
4.1 Introduction
85(1)
4.2 Big Data Analytics and Cognitive Computing
85(10)
4.2.1 Cognitive Computing Capabilities
86(3)
4.2.2 Underlying Technologies
89(5)
4.2.3 Empowering Analytics
94(1)
4.3 Deep Learning Approaches
95(6)
4.3.1 Artificial Neural Networks (ANN)
96(1)
4.3.2 Convolution Neural Network (CNN)
97(2)
4.3.3 Recurrent Neural Networks (RNN)
99(2)
4.4 Algorithms, Methods, and Techniques
101(6)
4.5 Case Studies
107(6)
4.5.1 HealthCare
107(2)
4.5.2 Smart Home
109(1)
4.5.3 Manufacturing
109(1)
4.5.4 Retail Sector
110(3)
5 Conclusion
113(6)
5.1 Summary
113(2)
5.2 Issues and Challenges
115(1)
5.3 Future Outlook
116(3)
Index 119
Parikshit Narendra Mahalle; Arvind Vinayak Deshpande, Nancy, P. Ambritta, Gitanjali Rahul Shinde
Püsilink: https://www.kriso.ee/db/9781003189091_pe.html
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