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Empowering IoT: reliability, network management, sensing, and probabilistic charging in wireless sensor networks = a comprehensive guide to IoT-based WSN network optimization /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Empowering IoT: reliability, network management, sensing, and probabilistic charging in wireless sensor networks/ by Muhammad Umar Farooq Qaisar ... [et al.].
Reminder of title:	a comprehensive guide to IoT-based WSN network optimization /
other author:	Qaisar, Muhammad Umar Farooq.
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	xviii, 226 p. :ill., digital ; : 24 cm.;
Contained By:	Springer Nature eBook
Subject:	Wireless sensor networks. -
Online resource:	https://doi.org/10.1007/978-981-96-6079-7
ISBN:	9789819660797

Empowering IoT: reliability, network management, sensing, and probabilistic charging in wireless sensor networks = a comprehensive guide to IoT-based WSN network optimization /
Empowering IoT: reliability, network management, sensing, and probabilistic charging in wireless sensor networksa comprehensive guide to IoT-based WSN network optimization /[electronic resource] :by Muhammad Umar Farooq Qaisar ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xviii, 226 p. :ill., digital ;24 cm.

Introduction -- IoT and Wireless Sensor Networks (WSNs) -- Wireless Sensor Networks Empowered by SDN: Reliable and Resilient Communication -- Securing Sensor Routes: Trustworthy and Load-Balanced Strategies -- Navigating the Energy Spectrum: Probabilistic Cluster Routing for Efficiency -- Revolutionizing IoT Sensor Charging: The ISAC-Probabilistic Paradigm -- Summary and Future Perspective.

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.

ISBN: 9789819660797

Standard No.: 10.1007/978-981-96-6079-7doiSubjects--Topical Terms:

719714
Wireless sensor networks.

LC Class. No.: TK5105.8857

Dewey Class. No.: 006.25

Empowering IoT: reliability, network management, sensing, and probabilistic charging in wireless sensor networks = a comprehensive guide to IoT-based WSN network optimization /
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505 0 $a Introduction -- IoT and Wireless Sensor Networks (WSNs) -- Wireless Sensor Networks Empowered by SDN: Reliable and Resilient Communication -- Securing Sensor Routes: Trustworthy and Load-Balanced Strategies -- Navigating the Energy Spectrum: Probabilistic Cluster Routing for Efficiency -- Revolutionizing IoT Sensor Charging: The ISAC-Probabilistic Paradigm -- Summary and Future Perspective.
520 $a 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.
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