Empowering Iot Reliability Network Management Sensing And Probabilistic Charging In Wireless Sensor Networks
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Empowering IoT: Reliability, Network Management, Sensing, and Probabilistic Charging in Wireless Sensor Networks
Author: Muhammad Umar Farooq Qaisar
language: en
Publisher: Springer Nature
Release Date: 2025-08-23
This book provides a comprehensive exploration of both fundamental principles and practical engineering techniques. It places a strong emphasis on several key areas, including load balancing for IoT sensor devices through effective network management to ensure robust communication reliability among these sensor devices. It also delves into the intricacies of efficient charging scheduling for sensor devices, using probabilistic approaches and integrated sensing and communication technologies to enhance network optimization. Central to the book's goals is its comprehensive and systematic treatment of practical challenges in IoT network optimization. This focus makes it particularly suitable for readers seeking practical solutions in this area. The book's target audience includes researchers, engineers, graduate students, and IoT industry professionals interested in areas such as reliability improvement, load balancing, charging scheduling, and network management. By providing both theoretical foundations and practical insights, this book serves as a valuable resource for those seeking to navigate the complexities of IoT network optimization.
Empowering IoT: Reliability, Network Management, Sensing, and Probabilistic Charging in Wireless Sensor Networks
Author: Muhammad Umar Farooq Qaisar
language: en
Publisher: Springer
Release Date: 2025-08-28
This book provides a comprehensive exploration of both fundamental principles and practical engineering techniques. It places a strong emphasis on several key areas, including load balancing for IoT sensor devices through effective network management to ensure robust communication reliability among these sensor devices. It also delves into the intricacies of efficient charging scheduling for sensor devices, using probabilistic approaches and integrated sensing and communication technologies to enhance network optimization. Central to the book's goals is its comprehensive and systematic treatment of practical challenges in IoT network optimization. This focus makes it particularly suitable for readers seeking practical solutions in this area. The book's target audience includes researchers, engineers, graduate students, and IoT industry professionals interested in areas such as reliability improvement, load balancing, charging scheduling, and network management. By providing both theoretical foundations and practical insights, this book serves as a valuable resource for those seeking to navigate the complexities of IoT network optimization.
Information Security Practices for the Internet of Things, 5G, and Next-Generation Wireless Networks
Information security practices are the backbone of smart factories, which dynamically coordinate and optimize production processes based on data produced and collected by the underlying cyber-physical systems, in terms of resource usage. Recent advances in the best practices, opportunities, challenges, and benefits of information security must be studied and considered for businesses across sectors to successfully utilize the practices in their internet of things, 5G, and next-generation wireless networks. Information Security Practices for the Internet of Things, 5G, and Next-Generation Wireless Networks highlights research on secure communication of 5G, internet of things, and next-generation wireless networks along with related areas to ensure secure and internet-compatible internet of things systems. The book also discusses the effects of the internet of things technologies on various situations in smart city design. Covering a range of topics such as secure communications and security evaluations, this reference work is ideal for industry professionals, business owners, engineers, researchers, scholars, practitioners, academicians, instructors, and students.