The rapid expansion of Internet of Things (IoT) networks has created a growing need for secure, reliable, and efficient methods of transmitting data across distributed and resource-constrained environments. Secure IoT Data Transmission Using Blockchain, Deep Learning, and Enhanced LoRaWAN provides a focused technical examination of security-oriented IoT communication, blockchain-based protection, deep learning, and LoRaWAN technologies. The book brings together concepts from wireless communication, cybersecurity, distributed systems, artificial intelligence, and Internet of Things engineering.
The book introduces the fundamental architecture of IoT communication systems and examines the challenges associated with transmitting information among connected devices. IoT environments can involve large numbers of distributed sensors and devices with limited processing power, memory, energy, and communication capabilities. These characteristics create distinctive requirements for data confidentiality, integrity, authentication, access control, and dependable communication.
A central focus is placed on LoRaWAN as a long-range, low-power wireless communication technology for IoT networks. The book considers the general architecture of LoRaWAN-based systems and examines how low-power wide-area networking principles can support communication between distributed IoT devices and network infrastructure. Communication efficiency, resource limitations, connectivity, and security considerations are discussed as important factors in designing robust IoT transmission systems.
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