The Today and Future of WSN, AI, and IoT: A Compass and Torchbearer for the Technocrats
- Length: 302 pages
- Edition: 1
- Language: English
- Publisher: BPB Publications
- Publication Date: 2020-06-10
- ISBN-10: 9389845165
- ISBN-13: 9789389845167
- Sales Rank: #8232056 (See Top 100 Books)
Doors are never locked for smart software and smart devices that are trained by smart people
Key Features
- A book for everyone interested to know more about WSN, AI, and IoT
- Discover various Open source tools & techniques for research and development in these felids
- An easy-to-understand guide that will help you get familiar with the upcoming developments in WSN, AI, and IoT
Description
Almost every industry is looking for solutions for the best performance in the work that they produce. Researchers and developers are developing promising solutions that address the industrial problems to increase the effectiveness and efficiency of either the product or the service. This paradigm has changed the way many solutions and services are designed. Wireless Sensor Networks (WSN) are the backbone implementation for the Internet of Things (IoT) to be realized. For the IoT to produce efficient results, Artificial Intelligence (AI) becomes the key assistance; however, it needs careful modeling.
The content for the book is planned and prepared in such a way that you will be able to understand the concept and can interpret it for their use. The concepts, technologies, processes that are discussed in the book are contemporary and futuristic. Every chapter is well planned to be a subsequent chapter for the previous. In the Summary section of each chapter, there are a few review questions and a case for research.
What will you learn
- Learn about the most popular AI & IoT research topics
- Discover a few WSN, IoT and AI Simulators
- Get to know more about the fusion of Blockchain and IoT technologies
- Know more about the AI and IoT predictions in the global scenario
- Become aware of the various multi-disciplinary research based on WSN, AI, and IoT
Who this book is for
By nature, every human is anxious to learn and would be benefited when they find the right direction. This book is truly intended for all students, teachers, product designers, opensource developers. However, it does not limit them alone. Those who have stepped into research, afresh, will find this book a more exciting one.
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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