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  • Book
  • Jun 2024

Optimal Utility-based Congestion Control in Multihop Wireless Networks

Part of the book series: SpringerBriefs in Electrical and Computer Engineering (BRIEFSELECTRIC)

About this book

This brief focuses on the state-of-the-art research for congestion control in Multihop Wireless Networks (MWN), based on the Network Utility Maximization (NUM) framework. The brief evaluates fundamental theories, useful performance investigations, and open issues.

Multihop Wireless Networks (MWN), including Ad Hoc networks, Wireless sensor networks, and Wireless Mesh networks, play the essential role in the evolution of pervasive computing. MWN represent complex distributed systems which comprise wireless mobile nodes that can freely and dynamically self-organize into arbitrary and temporary network topology, allowing nodes to seamlessly internetwork in areas with no pre-existing communication infrastructure. 

Optimal Utility-based Congestion Control in Multihop Wireless Networks explores how MWN provide a categorization of applicative scenarios outside of the military domain, such as emergency services, disaster recovery, and environment monitoring. 

Keywords

  • Ad hoc networks
  • Congestion control
  • Cross-layer design
  • Dual decomposition
  • Multihop wireless networks
  • Network utility maximization
  • Wireless sensor networks

Authors and Affiliations

  • School of Information Science & Technology, Zhejiang Sci-Tech University, Hangzhou, China

    Weiqiang Xu

  • Control Science and Engineering, Zhejiang University, Hangzhou, China

    Jiming Chen

Bibliographic Information

  • Book Title: Optimal Utility-based Congestion Control in Multihop Wireless Networks

  • Authors: Weiqiang Xu, Jiming Chen

  • Series Title: SpringerBriefs in Electrical and Computer Engineering

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Author(s) 2024

  • Softcover ISBN: 978-3-319-25695-5Due: 25 June 2024

  • eBook ISBN: 978-3-319-25697-9Due: 25 June 2024

  • Series ISSN: 2191-8112

  • Series E-ISSN: 2191-8120

  • Edition Number: 1

  • Number of Illustrations: 25 b/w illustrations