The Today and Future of WSN, AI, and IoT
US$ 19.95
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Description
Contents
Reviews
Language
English
ISBN
9789389845167
Cover Page
Title Page
Copyright Page
Dedication
About the Authors
Acknowledgement
Preface
Table of Contents
1. Essentials of WSN, AI, IoT
Introduction
Objective
Wireless Sensor Node/Network
What is a sensor?
Transceiver
Micro-controller
Memory
Power Source
Sensors/actuators
What is biosensor?
What is the human sensor?
Why sensors required?
What is a wireless sensor network?
Types of sensors
Networking technologies for WSN
Architecture of WSN
Physical layer
Data Link layer
Network layer
Transport layer
Application layer
What is MANET?
What are the similarities and differences between MANETs and WSN
Similarities
Differences
What is the difference between sensors and detectors?
What is the basic working model of sensors?
What are the future trends of sensors?
What are the side effects of sensors?
What are the advantages and disadvantages of WSN?
Trends in sensors
AI
Applications of AI including research fields
What is the difference between AI, ML, DL, and DS?
AI for Good
Trends in AI
IoT
Applications
Trends and characteristics
Organization of the book
Summary
Questions
Do some research
2. WSN, AI, and IoT – future shock!
Introduction
Structure
Objectives
Not every development is positive
The negative impact of WSN, AI, and IoT
Fake v/s original
Easy v/s complexity
Underflow v/s overflow
Compatible v/s non-compatible
Healthy v/s unhealthy
Gain v/s Loss
Security v/s non-security
Summary
Questions
Do some research
3. Active research areas of WSN, AI, and IoT
Introduction
Structure
Objectives
Introduction
Applications of WSN, AI, and IoT
Applications of WSN
Applications of AI
Applications of IoT
WSN research areas
Network management
Topology management
Heterogeneous nodes
Scalability of network
Routing management
Clustering techniques
Fault management
Security management
Performance management
Configuration management
Data management
Data quality
Data transmission
Data integrity
Data backup
Security management
Security goals
Types of attack
Denial of Service (DoS) attack
Sybil attack
Sinkhole attack
Node replication attack
Monitor and Eavesdropping
Traffic analysis
Camouflage adversaries
Physical attack
Node subversion
Node malfunction
Node outage
Wormholes
Routing attacks
HELLO flood attacks
Attacks against privacy
Acknowledgment spoofing
Message corruption
Fake routing
Passive Information Gathering
Selfishness
False node
QoS management
Resource management
Energy management
Memory management
Bandwidth management
Data processing
Internet and web services
Radio Frequency Identification (RFID)
Healthcare equipment
Computing technologies
BCI model
Middleware
Smart sensors
Application areas
Other research areas w.r.t WSN
AI research areas
Large-scale Machine Learning (ML)
Deep Learning (DL)
Internet of Things (IoT)
Reinforcement Learning(RL)
Algorithmic game theory and computational mechanism design
Robotics
More hardware programming
Computer vision (CV)
Natural Language Processing (NLP) and Text Analytics
Game Theory (GT)
Intelligent Interaction (II)
Recommender Systems (RS)
Social Network Analysis (SNA)
Virtual Reality (VR)
Pattern Recognition (PR)
Knowledge management
Autonomic computing
IoT research areas
Smart technology
Wireless sensor networks
Cloud computing
Big Data
Ubiquitous computing
Distributed systems
RFID
Wireless Sensor Networks
Mobile computing
AI (ML/DL)
Embedded systems
Cyber-Physical Systems (CPS)
Semantic web
Security and reliability challenges
IoT and IIoT (Industrial IoT) clouds
Collective research areas
Summary
Questions
Do some research
4. Simulators of WSN, AI, and IoT
Introduction
Structure
Objectives
Introduction
WSN simulators
Basics of simulation
What is the difference between simulators and emulators?
What is the difference between discrete-event simulations and trace-driven simulation?
What is the difference between synchronous simulation and asynchronous simulation?
Few simulation tools
AI simulators
Brain simulator
ISAAC sim
Couger
Anylogic
Cozmo SDK
Tensorflow
Keras
Machine Learning Addict–MLaddict
RapidMiner
PyTorch
DL4J
AIBrain
IoT simulators
Summary
Questions
Do some research
5. BlockChain for WSN, AI, and IoT
Introduction
Structure
Objectives
Introduction
Blockchain simulators/SDKs
Summary
Questions
Do some research
6. What is Next?
Introduction
Structure
Objectives
Introduction
Present research areas in race
Blockchain for one-stop security
Blockchain applications in cybersecurity and data security
Blockchain applications in Security of IoT
Blockchain platforms for the developers
Human organ producing
Infinite aging for human
Cure deadliest disease coronary artery disease
Single, compatible device for all IoT tools
Travel human at the speed of light
Zero in-flight failure crash or zero casualties
Earthquake and natural calamities
Layers of security
Learn/study anything in overnight!
Smart kitchen
Smart pricing and paying for all
Auto agriculture
Increase in Virtual Assistant (AI assistant) usage
Self-driving/running devices
Instant, efficient medical diagnosis
Smart space exploration
Auto military or border management
Self-medication
Future research areas
Body parts as a unique ID
Inter brain cell network
Enable gadgets action with empty hands
AI for finding a true love
Internet of Everything (IoE)
Land in any planet with VA
AI for self-coding/decoding
Cartoons behavior into reality
Can we trace God/Devil/Aliens?
Robots as pets/friend/spouse
Can astrology be replaced?
IA v/s AI v/s AI: Meta-AI
AI makes you laughter
If immatured, make matured!
Summary
Questions
Do some research
7. The state of AI, and IoT by 2050
Introduction
Structure
Objectives
Healthcare
AI with Big Data in Healthcare
Why AI in Healthcare?
Applications of AI in Healthcare
Virtual assistant for personal health
AI improves sleep quality
Precise medicine
Health care bots
Agriculture
Education
Artificial Intelligence automates basic educational activities such as rating
The educational software is tailored to the needs of the students
IT may indicate areas where courses need to be improved
Students may receive additional support from AI tutors
AI-based programs can provide useful information to students and faculty
It changes the way we find and process information
It can change the role of teachers
AI makes learning by testing less daunting
AI-related data can transform the way schools find, teach and support students
AI can change where students learn, who teaches them, and how they acquire basic skills
Governance
Different AI assumptions
Applying blockchain to ethical AI and Governance
Smart management is the key to reducing threats and challenges
Apprehensions about AI in Governance
Careful usage of AI
Climate and Weather
Autonomous and connected electric vehicles
Distributed electricity networks
Smart agricultural and food systems
Next-generation climate and weather forecasts
Intelligent disaster response
Smart AI cities that are smart, connected, and usable
Transparent Digital Earth
Reinforcing the progress of earth sciences
Transportation
Frictionless vehicles
Car flying time
Binary power
2050 and the transport sector
Manufacturing
Multitasking and Automation
Automated and creative design
Speed up the process
Made to order, onsite
Keep going
Defense
Change of warfare in future course
Artificial Intelligence and Autonomy
Business services
Oil, gas, and mining
How oil and gas affect artificial intelligence
Adoption of current AI
The journey of the future
Insurance
Potential takeaways
Artificial intelligence creates deep personalization
Fintech prefers the speed of financial services
Fintech is changing its financial services business model
Technology launches the fintech business model
Banks and fintech companies do not maintain regular commercial cooperation
Stimulate progress in the industry
AI helps to control and reduce risk
Benefits from technical regulations: China scenario
Over-regulation limits innovation
AI and blockchain can overcome security problems
Financial services are digital and secure through AI
Blockchain improves transparency and traceability of financial data
How FinTech in 2050
Sports
Use of Artificial Intelligence in sports
Intelligence and recruitment
Training-cum-performance analysis
Maintain health, fitness, and safety
Streaming and broadcasting
Energy
AI for energy reference
Xcel
Nnergix
AI for energy efficiency
Verdigris technologies
Google DeepMind
AI for energy accessibility
PowerScout
Verve
Fashion
3D printing
Innovations and new materials
Fashion technology (FashionTech)
Wearable fashion technology
Luxury hijabs
Startup FashionTech
Advertising
Technology and advertising
Artificial Intelligence & advertising
Disruption 1: How content is created
Disruption 2: How content is delivered to users
Construction
10 AI examples in architecture
The AI in architecture by 2050
Media and entertainment
Evolution in StoryTelling: Augmented Reality, Virtual Reality, and First Responders
The basis of artificial intelligence and cognitive computing
Upgrading skills - increasing the capacity of the studio by 2050
Digital people and digital assistants - Evolution of technology and ideas
The architecture of empathy systems - empathy and emotional intelligence
Characters and content - New world and new channels
Legal
Automatic application of the law
Video surveillance throughout the city
Advanced face recognition
Artificial Intelligence and Big Data
Police drones
Algorithms replace judges to punish offenders
Original design requires the following conditions
Gaming
Augmented Reality
Artificial Intelligence
Input devices
Graphic and design
Delivery
Future Hero
Summary
Questions
Do some research
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$19.95
