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Emerging Technologies and the Application of Wsn and Iot: Smart Surveillance, Public Security, and Safety Challenges

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Emerging Technologies and the Application of Wsn and Iot: Smart Surveillance, Public Security, and Safety Challenges Emerging Technologies and the Application of Wsn and Iot: Smart Surveillance, Public Security, and Safety Challenges

出版社:CRC Press
出版日期:2024-04-30
語言:英文   規格:精裝 / 320頁 / 普通級/ 初版
圖書選購
型式價格供應商所屬目錄
 
$ 12000
博客來 博客來
工程總論與技術
圖書介紹 - 資料來源:博客來   評分:
圖書名稱:Emerging Technologies and the Application of Wsn and Iot: Smart Surveillance, Public Security, and Safety Challenges

內容簡介

The Internet of Things (IoT) has numerous applications, including smart cities, industries, cloud-based apps, smart homes, and surveillance.

The Internet of Things (IoT) enables smarter living by connecting devices, people, and objects. As networking became a crucial aspect of the Internet, rigorous design analysis led to the development of new research areas.

The Internet of Things has revolutionized daily living in countless ways. It enables communication between buildings, people, portable gadgets, and vehicles, facilitating mobility. Smart cities and cloud-based data have transformed corporate practices. With billions of connected gadgets, everything will soon be able to communicate remotely. IoT networks, whether public or private, rely significantly on machine learning and software-defined networking. Indian and other governments have approved various research projects on IoT-based networking technologies. This field of study will significantly impact society in the future.

Researchers are concerned about the many application areas and driving forces behind smart cities. The authors aim to provide insights into software-defined networking, artificial intelligence, and machine learning technologies used in IoT and networking. The framework focuses on practical applications and infrastructures. The book includes practical challenges, case studies, innovative concepts, and other factors that impact the development of realistic scenarios for smart surveillance. It also highlights innovative technology, designs, and algorithms that can accelerate the creation of smart city concepts.

This resource includes real-world applications and case studies for smart city technology, enormous data management, and machine learning prediction, all with confidentiality and safety problems.

 

作者簡介

Dr. Shalli Rani is pursuing a postdoctoral from Manchester Metropolitan University, UK from July 2022. She is a Professor in Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, India. She has 18+ years of teaching experience. She received an MCA degree from Maharishi Dyanand University, Rohtak in 2004 and an M.Tech. degree in Computer Science from Janardan Rai Nagar Vidyapeeth University, Udaipur in 2007 and a Ph.D. degree in Computer Applications from Punjab Technical University, Jalandhar in 2017. Her main area of interest and research are Wireless Sensor Networks, Underwater Sensor Networks, Machine Learning and the Internet of Things. She has published/accepted/presented more than 100+ papers in international journals /conferences (SCI+Scopus) and edited/authored five books with international publishers. She is serving as the associate editor of IEEE Future Directions Letters. She served as a guest editor in IEEE Transactions on Industrial Informatics, Hindawi WCMC, and Elsevier IoT Journals. She has also served as a reviewer in many repudiated journals of IEEE, Springer, Elsevier, IET, Hindawi, and Wiley. She has worked on Big Data, Underwater Acoustic Sensors, and IoT to show the importance of WSN in IoT applications. She received a Young Scientist award in Feb. 2014 from the Punjab Science Congress, a Lifetime Achievement Award, and a Supervisor of the Year award from Global Innovation and Excellence, in 2021.

Dr. Himanshi Babbar is an Assistant Professor of research in CSE with Chitkara University, Rajpura, Punjab, India. She has 2 years of teaching experience at CGC, Landran, Mohali, Punjab. She received an MCA (Master’s in Computer Applications) degree from Chitkara University, Punjab Campus in 2015 and completed her Ph.D. and Postdoctoral Fellowship in Computer Applications from Chitkara University, Punjab Campus and UAE in 2021 and 2022 respectively. Her area of research is Software Defined Networking, Load Balancing, Deep Learning, Intrusion Detection, and the Internet of Things. She has served as a reviewer in many conferences and journals including the International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (ICIITCEE 2023), IEEE International Conference on Current Regards Development in Engineering and Technology (CCET-2022), Peer-to-Peer Networking and Applications, Ad Hoc Networks, Elsevier, Springer’s Journal of Network and Systems Management, etc. She has published/accepted/presented many papers at national and international conferences, published more than 25 papers in SCI-indexed journals, and filed/published/granted more than 10 patents.

 

詳細資料

  • ISBN:9781032566856
  • 規格:精裝 / 320頁 / 普通級 / 初版
  • 出版地:美國
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