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Elsevier

Foundations of Smart Sensor Networks

  • 1st Edition - May 1, 2027
  • Latest edition
  • Authors: Marjan Kuchaki Rafsanjani, Fakhrosadat Fanian, Mohammad Bagher Dowlatshahi
  • Language: English

In an interconnected world, smart sensor networks offer a means of gathering data from the internet of things, which can be analysed and utilised to make informed decisions in real… Read more

Description

In an interconnected world, smart sensor networks offer a means of gathering data from the internet of things, which can be analysed and utilised to make informed decisions in real world situations. Foundations of Smart Sensor Networks provides a comprehensive guide to understanding the concepts and applications of sensor network technology. This book presents the core concepts, principles, design and architectures of smart sensor networks, and their pivotal role in modern communication. It explores the innovative technologies that use artificial intelligence, machine learning and optimization algorithms for data collection and clustering, routing, security, and energy management. The TOC is structured in five sections, beginning with an introductory overview of smart sensor networks, including a guide to types of smart sensor networks. The second section delves into the fundamental principles of smart sensor networks, including a discussion of energy management, and security and privacy issues. Part Three considers how sensor networks can work with artificial intelligence. Part Four considers applications of smart sensor networks in the real world, for example for monitoring the environment and healthcare. The book closes with an exploration of the future opportunities and risks inherent in adopting smart sensor networks.

Overall, Foundations of Smart Sensor Networks equips the reader with the knowledge needed to design, implement, and optimize smart sensor networks for a variety of applications.

Key features

  • Explains how smart sensor networks gather real world data to create a virtual model of a real world environment
  • Discusses the energy management and security issues around smart sensor networks
  • Considers how smart sensor networks work with artificial intelligence
  • Explores the applications of smart sensor networks, as well as future implications

Readership

Graduate and upper-level undergraduate students, and academic researchers working in the field of advanced sensor networks, computer science, artificial intelligence, machine learning, and blockchain

Table of contents

Part 1: Introduction

1. Introduction to Smart Sensor Networks (SSNs)

2. A Guide to Sensor Types in SSNs

Part 2: Fundamental Principles of Smart Sensor Networks

3. Principles and Architectures of SSNs

4. Energy Management in SSNs

5. Rechargeable Smart Sensor Networks (RSSNs)

6. Internet of Things-oriented Smart Sensor Networks (IoT-SSNs)

7. Security and Privacy in SSNs

8. Other Challenges and Solutions in SSNs

Part 3: Artificial Intelligence-Driven Smart Sensor Networks

9. Supervised and Unsupervised Learning-based SSNs

10. Reinforcement Learning-based SSNs

11. Optimization Approaches for SSNs

12. Other Artificial Intelligence-based SSNs

Part 4: Applications of Smart Sensor Networks

13. Environmental Monitoring Smart Sensor Networks: Protocols and Challenges

14. Health Smart Sensor Networks: Protocols and Challenges

15. Water and Marine Smart Sensor Networks: Protocols and Challenges

Part 5: Future Perspectives

16. Future Opportunities in the Development of Smart Sensor Networks

Product details

  • Edition: 1
  • Latest edition
  • Published: May 1, 2027
  • Language: English

About the authors

MR

Marjan Kuchaki Rafsanjani

Prof. Marjan Kuchaki Rafsanjani is currently a professor at the Department of Computer Science at Shahid Bahonar University of Kerman, Iran. She received her PhD in Computer Engineering in 2009. She is a member of international experts of CCRI (International Center for AI and Cyber Security Research and Innovations) at Asia university, Taiwan. She serves on the editorial board of the Elsevier Journal of Engineering Applications of Artificial Intelligence, International Journal of Computational Systems Engineering, Journal of Computing Science and Information Technology, Transactions on Fuzzy Sets and Systems and Advisory board of Iranian Journal of Fuzzy System. She has published more than 200 research papers in international journals and conference proceedings. She also published a book and a few book chapters and has working experience on many projects. She has served as chair/ organizer/ session chair /a program committee member for several international conferences. Her current research interests include Internet of Things, Artificial Intelligence, Intelligent Systems, Cyber Security, Machine Learning, Bio-inspired Systems, Smart Cities and Networks (MANETs, WSNs, WRSNs, VANETs and FANETs), Optimization, Fuzzy Systems, Bioinformatics and Soft Computing.
Affiliations and expertise
Professor, Department of Computer Science, Shahid Bahonar University of Kerman, Kerman, Iran

FF

Fakhrosadat Fanian

Fakhrosadat Fanian received her M.Sc. and first Ph.D. degree in Computer Engineering from Islamic Azad University, Kerman Branch, Iran, in 2013 and 2019, respectively. Then, she completed a postdoctoral fellowship at Shahid Bahonar University of Kerman, supported by the Iran National Science Foundation. She received her Second Ph.D. in Computer Science from Shahid Bahonar University of Kerman, Iran. Her research interests include Wireless Sensor Networks (WSNs), Rechargeable Sensor Networks, Artificial Intelligence, Fuzzy Logic, and Metaheuristic Algorithms.
Affiliations and expertise
Professor, Department of Computer Science, Shahid Bahonar University of Kerman, Iran

MD

Mohammad Bagher Dowlatshahi

Mohammad Bagher Dowlatshahi was born in 1988 in Khoramabad, Iran. He received his M.Sc. degree in Computer Science from Shahid Bahonar University of Kerman, Iran, in 2012. He received his Ph.D. degree in Computer Engineering from Yazd University, Iran, in 2017. His current interest is in Artificial Intelligence, Machine Learning, Soft Computing, and Computer Networks. Currently, he is the dean of the Engineering faculty of Lorestan University. He has been the director of the computer engineering department and also the director of information technology of Lorestan University for several years.
Affiliations and expertise
Director, Department of Computer Engineering, Lorestan University, Khorramabad, Iran