Haya Shajaiah – författare

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A hands-on guide and mathematical approach to tackling security challenges and overall performance issues in 5G-based IoT communications

The Internet of Things (IoT) provides connectivity and data exchange anytime and anywhere among a wide variety of physical objects such as sensors, vehicles, and mobile phones. This book is a concise guide to securing wireless Internet of Things (IoT) systems at the communications level, covering wireless spectrum sharing systems, smart grid communications, machine-to-machine communications, and uplink/downlink communications for IoT applications. The methods, optimization problems, mathematical solutions, algorithms, and programming codes in the book can be applied directly or extended as countermeasures for different IoT vulnerabilities.

Coverage includes:

•Detailed solutions for tackling communications security threats•Secure spectrum auction design •Spectrum trading architecture•Distributed optimization algorithm•Latency-centric IoT uplink framework•MATLAB code for IoT spectrum sharing and IoT smart grid•Joint carrier aggregation for IoT spectrum sharing systems•Anomaly detection and classification

This book introduces an efficient resource management approach for future spectrum sharing systems. The book focuses on providing an optimal resource allocation framework based on carrier aggregation to allocate multiple carriers’ resources efficiently among mobile users. Furthermore, it provides an optimal traffic dependent pricing mechanism that could be used by network providers to charge mobile users for the allocated resources. The book provides different resource allocation with carrier aggregation solutions, for different spectrum sharing scenarios, and compares them. The provided solutions consider the diverse quality of experience requirement of multiple applications running on the user’s equipment since different applications require different application performance. In addition, the book addresses the resource allocation problem for spectrum sharing systems that require user discrimination when allocating the network resources.