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Congestion Control for 6LoWPAN Wireless Sensor Networks: Toward the Internet of Things

  • Hayder Al-Kashoash

Part of the Springer Theses book series (Springer Theses)

Table of contents

  1. Front Matter
    Pages i-xxxi
  2. Hayder Al-Kashoash
    Pages 1-16
  3. Hayder Al-Kashoash
    Pages 17-62
  4. Hayder Al-Kashoash
    Pages 63-94
  5. Hayder Al-Kashoash
    Pages 95-107
  6. Hayder Al-Kashoash
    Pages 109-133
  7. Hayder Al-Kashoash
    Pages 135-156
  8. Hayder Al-Kashoash
    Pages 157-159

About this book

Introduction

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.

Keywords

Internet of Things 6LoWPAN Wireless Sensor Networks Congestion Control Game Theory Optimization Theory IoT Applications Low Power and Lossy Networks RPL Routing Protocol

Authors and affiliations

  • Hayder Al-Kashoash
    • 1
  1. 1.Technical Institute/QurnaSouthern Technical UniversityBasraIraq

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-17732-4
  • Copyright Information Springer Nature Switzerland AG 2020
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-030-17731-7
  • Online ISBN 978-3-030-17732-4
  • Series Print ISSN 2190-5053
  • Series Online ISSN 2190-5061
  • Buy this book on publisher's site
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