The rapid growth of IoT and its applications in smart cities have brought about significant challenges for academic scholars. The increasing number of interconnected devices and the massive amounts of data they generate strain traditional networks, leading to inefficiencies and security vulnerabilities. Additionally, the centralized control plane in Software Defined Networks (SDN) poses a single point of failure, hindering network performance. Moreover, IoT devices themselves are susceptible to attacks, compromising user data and privacy. Scholars in the field urgently need a comprehensive solution to address these pressing issues. Network-Enabled IoT Applications for Smart City Services offer a compelling solution to the challenges faced by academic scholars in the IoT and smart city domain. Dr. K. Hemant Kumar Reddy, along with Dr. Diptendu SinhaRoy and Tapas Mishra, presents a persuasive and timely approach in this book. They propose leveraging SDN, which decouples the control plane from the data plane, enabling more efficient handling of high-frequency data streams from IoT devices. Additionally, the authors advocate for the integration of blockchain technology to enhance security and reliability in IoT applications. By decentralizing control and ensuring tamper-proof transactions, blockchain offers a promising solution for robust data management. This book provides academic scholars with a comprehensive and innovative solution to the challenges posed by IoT applications in smart city services. With their extensive expertise, the authors address critical issues such as network strain, security vulnerabilities, and device failures. By offering insights into the use of SDN and blockchain, the authors provide a roadmap for scholars to enhance network efficiency, security, and reliability in IoT applications. Network-Enabled IoT Applications for Smart City Services serve as an invaluable resource, inspiring further research and development in this rapidly evolving field and enabling scholars to make significant contributions to the advancement of IoT and smart city technologies.
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Offers a compelling solution to the challenges faced by academic scholars in the IoT and smart city domain. The authors propose leveraging SDN, which decouples the control plane from the data plane, enabling more efficient handling of high-frequency data streams from IoT devices.
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Produktdetaljer
ISBN
9798369307441
Publisert
2023-09-30
Utgiver
Vendor
IGI Global
Vekt
272 gr
Høyde
279 mm
Bredde
216 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
409
Redaktør
Biographical note
Hemant Kumar Reddy received his M.Tech and PhD. and from Berhampur University, BhanjaVihar, India. He is currently with the VIT AP University Andhra Pradesh, India, as an Associate Professor Grade-II. Currently serving as an Associate Editor, Journal of Intelligent Fuzzy System (JIFS). He has published several papers in High-Quality SCI/SCIE/ESCI Impact Factor Journals cum Scopus/ESCI indexed Journals, 25+ Papers in International Conferences indexed with ACM, Springer, IEEE Xplore. His current research interests include distributed and cloud computing, fog computing, IoT, Edge, Fog computing, and service-oriented architectures. Tapas Mishra completed his Ph.D. in the year 2017 from Indian Institute of Technology, Dhanbad, India. Now he is working as an assistant professor at SRM University, Andhra Pradesh, India. His research area includes quality of service in Ad hoc and sensor networks, localization of sensor nodes, recommended system, Robot navigation using artificial intelligence, Internet of things. He has more than 20 international journals and conference publication in his name.Mir Wajahat Hussain was born in Jammu & Kashmir, India. He received the B.Tech. degree from University of Kashmir, India in 2014, and the master's degree and Ph.D. from the National Institute of Technology Arunachal Pradesh and National Institute of Technology Meghalaya, India in 2017 and 2021. He is currently with the Alliance University, India, as an Assistant Professor. His research interests include software-defined networks and big data.