July 2021
Intermediate to advanced
528 pages
13h 35m
English
book
Machine Learning Approach for Cloud Data Analytics in IoT
by Sachi Nandan Mohanty, Jyotir Moy Chatterjee, Monika Mangla, Suneeta Satpathy, Sirisha Potluri
Content preview from Machine Learning Approach for Cloud Data Analytics in IoT
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16Deep Learning Approach for Resource Optimization in Blockchain, Cellular Networks, and IoT: Open Challenges and Current Solutions
1Department of Computer Science & Technology, Akal University, Talwandi Saboo, Punjab, India
2Department of Computer Science, Baba Farid College, Bathinda, Punjab, India
Abstract
Blockchain is the emerging technology to promote decentralized services in the distributed systems, with enhanced security, privacy, transparency, reliability, and robustness in a distributed manner. This chapter first outlines the current blockchain techniques and consortium blockchain framework and, after that, considers the application of blockchain with cellular 5G network, big data, IoT, and mobile edge computing. After that, we cover the aspects of machine learning and deep learning to bring intelligence in the blockchain applications. Here, we start with the open challenges for the resource management and allocation techniques in the existing techniques and motivation to the use of machine learning and deep learning–based resource allocation techniques in blockchain and its applications in future networks, IoT, and mobile edge computing. In the end, we provide the comprehensive study of the existing machine learning–deep learning–based resource optimization and allocation techniques in blockchain with it application in the future cellular network, IoT, and mobile edge computing. We also provide a framework for resource optimization and ...
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