Name: Congestion Control for 6lowpan Wireless Sensor Networks: Toward the Internet of Things (en Inglés)
SKU: 57178497
Price: 108630.00 CLP
Availability: InStock
Author: Al-Kashoash, Hayder
ISBN: 9783030177317

portada Congestion Control for 6lowpan Wireless Sensor Networks: Toward the Internet of Things (en Inglés)

Congestion Control for 6lowpan Wireless Sensor Networks: Toward the Internet of Things (en Inglés)

Formato

Libro Físico

Autor

Hayder Al-Kashoash

Editorial

Springer

Idioma

Inglés

N° páginas

159

Encuadernación

Tapa Dura

Dimensiones

23.4x15.6x1.3 cm

Peso

0.45 kg.

ISBN13

9783030177317

Categorías

Ingeniería eléctrica
Ingeniería de las comunicaciones/las telecomunicaciones
Tecnología de la información: cuestiones generales

Congestion Control for 6lowpan Wireless Sensor Networks: Toward the Internet of Things (en Inglés)

Hayder Al-Kashoash (Autor) · Springer · Tapa Dura

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Reseña del libro "Congestion Control for 6lowpan Wireless Sensor Networks: Toward the Internet of Things (en Inglés)"

The Internet of Things (IoT) is the next big challenge for the research community. The IPv6 over low power wireless personal area network (6LoWPAN) protocol stack is considered a key part of the IoT. In 6LoWPAN networks, heavy network traffic causes congestion which significantly degrades network performance and impacts on quality of service aspects. This book presents a concrete, solid and logically ordered work on congestion control for 6LoWPAN networks as a step toward successful implementation of the IoT and supporting the IoT application requirements. The book addresses the congestion control issue in 6LoWPAN networks and presents a comprehensive literature review on congestion control for WSNs and 6LoWPAN networks. An extensive congestion analysis and assessment for 6LoWPAN networks is explored through analytical modelling, simulations and real experiments. A number of congestion control mechanisms and algorithms are proposed to mitigate and solve the congestion problem in 6LoWPAN networks by using and utilizing the non-cooperative game theory, multi-attribute decision making and network utility maximization framework. The proposed algorithms are aware of node priorities and application priorities to support the IoT application requirements and improve network performance in terms of throughput, end-to-end delay, energy consumption, number of lost packets and weighted fairness index.