Druck auf Anfrage Neuware - Printed after ordering - 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.

N� de ref. del art�culo 9789819660780

Contactar al vendedor

Denunciar este art�culo

Detalles bibliogr�ficos

T�tulo

Empowering IoT: Reliability, Network Management, Sensing, and Probabilistic Charging in Wireless Sensor Networks : A Comprehensive Guide to IoT-Based WSN Network Optimization

Editor

Springer Nature Singapore, Springer Nature Singapore

Fecha de publicaci�n

2025

Idioma

Ingl�s

ISBN 10

9819660785

ISBN 13

9789819660780

Encuadernaci�n

Buch

Estado

Neu

Cat�logos de vendedores

Acerca de

Sinopsis

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.

Acerca del autor

Muhammad Umar Farooq Qaisar is an Associate Professor at Northwestern Polytechnical University, holding a Ph.D. in Computer Science and Technology from the University of Science and Technology of China (2022). With a postdoctoral fellowship at the Southern University of Science and Technology, his research focuses on IoT, WSN, SDN, VANETs, ISAC, UAVs, and communication security.

Weijie Yuan is an Assistant Professor at the Southern University of Science and Technology. He holds a Ph.D. from the University of Technology Sydney (2019) and has been a Stanford Top 2% Scientist since 2021. He serves as an Associate Editor for multiple IEEE journals and leads the IEEE ComSoc OTFS Special Interest Group. Recognized for his work, he has received Best Paper Awards at IEEE ICC 2023 and IEEE GlobeCom 2024, among others.

Paolo Bellavista is a Full Professor at the University of Bologna, where he earned his Ph.D. in computer science engineering in 2001. His research focuses on mobile computing middleware, cloud continuum QoS, big data infrastructures, and performance optimization. He serves on editorial boards for IEEE and ACM journals and is the Scientific Coordinator of the H2020 IoTwins Project.

Hina Tabassum is an Associate Professor and York Research Chair at York University, focusing on 5G/6G mobility. A Stanford Top 2% Researcher (2021–2024) with 100+ publications (6500+ citations, h-index 38), she is an IEEE ComSoc Distinguished Lecturer (2025–2026) and editor for multiple IEEE journals. She chairs the IEEE THz Communications group and has received the Lassonde Innovation Award (2023) and N2Women Rising Star (2022).

"Sobre este t�tulo" puede pertenecer a otra edici�n de este libro.

Descripci�n de la librer�a

Das Unternehmen AHA-BUCH GmbH: Seit der Gr�ndung von AHA-BUCH im Juli 2005 ist unser Hauptziel, zufriedenen Kunden so schnell und so preisg�nstig wie m�glich ihren B�cherwunsch zu erf�llen. Unsere Firma besch�ftigt 16 Mitarbeiter, die nur ein Ziel kennen: den Kunden und seine W�nsche! Auf �ber 3700 m2 Fl�che haben wir �ber 100.000 B�cher, Modernes Antiquariat und Spiele auf Lager.

Ver la p�gina web de la librer�a

Informaci�n empresarial del vendedor

AHA-BUCH GmbH
Garlebsen 48, Einbeck, 37574, Germany

Condiciones de venta y env�o

Condiciones de venta

T�rminos y Condiciones Generales e Informaci�n del Cliente / Pol�tica de Privacidad

I. T�rminos y Condiciones Generales

� 1 Disposiciones b�sicas

(1)Los siguientes t�rminos y condiciones se aplican a todos los contratos que celebre con nosotros como proveedor (AHA-BUCH GmbH) a trav�s de las plataformas de Internet AbeBooks y/o ZVAB. A menos que se acuerde lo contrario, se objetar� la inclusi�n de cualquiera de sus propios t�rminos y condiciones utilizados por usted.
(2)Un consumidor en el sentid...

M�s informaci�n

Derecho a cancelaci�n

Condiciones de env�o

Enviamos su pedido despu�s de recibirlos
para art�culos disponibles las �ltimas 24 horas,
para art�culos con suministro nocturno a m�s tardar 48 horas.
En caso de que necesitemos pedir un art�culo a nuestro proveedor, nuestro tiempo de env�o depende de la fecha de recepci�n de los art�culos, pero los art�culos se enviar�n el mismo d�a.

Nuestro objetivo es enviar los art�culos pedidos de la manera m�s r�pida, pero tambi�n m�s eficiente y segura a nuestros clientes.

Tarifas de env�o de Alemania a Estados Unidos de America

Tarifas de env�o de Alemania a Estados Unidos de America
Cantidad del pedido	De 30 a 40 d�as h�biles	De 7 a 14 d�as h�biles
Primer art�culo	EUR 62.67	EUR 72.67

Los plazos de entrega los establecen los vendedores y var�an seg�n el transportista y la ubicaci�n. Los pedidos que pasan por la aduana pueden sufrir retrasos y los compradores son responsables de los aranceles o tarifas asociadas. Los vendedores pueden ponerse en contacto con usted en relaci�n con cargos adicionales para cubrir cualquier aumento en los costes de env�o de los art�culos.

Informaci�n detallada sobre el vendedor