Wireless Personal Communications

, Volume 74, Issue 4, pp 1311–1327 | Cite as

On Efficient Traffic Distribution for Disaster Area Communication Using Wireless Mesh Networks

  • Mostafa M. Fouda
  • Hiroki Nishiyama
  • Ryu Miura
  • Nei Kato


In recent time, a great deal of research effort has been directed toward promptly facilitating post-disaster communication by using wireless mesh networks (WMNs). WMN technology has been considered to be effectively exploited for this purpose as it provides multi-hop communication through an access network comprising wireless mesh routers, which are connected to the Internet through gateways (GWs). One of the critical challenges in using WMNs for establishing disaster-recovery networks is the issue of distributing traffic among the users in a balanced manner in order to avoid congestion at the GWs. To overcome this issue, we envision a disaster zone WMN comprising a network management center. First, we thoroughly investigate the problem of traffic load balancing amongst the GWs in our considered disaster zone WMN. Then, we develop traffic load distribution techniques from two perspectives. Our proposal from the first perspective hinges upon a balanced distribution of the bandwidth to be allocated per user. On the other hand, our second perspective considers the dynamic (i.e., varying) bandwidth demands from the disaster zone users that requires a more practical and refined distribution of the available bandwidth by following an intelligent forecasting method. The effectiveness of our proposals is evaluated through computer-based simulations.


Disaster area network Traffic distribution Wireless mesh networks (WMNs) 



Part of this work was conducted under the national project, “Research and development of technologies for realizing disaster-resilient networks”, supported by the Ministry of Internal Affairs and Communications (MIC), Japan. A preliminary version of this work was presented at the 1st IEEE International Conference on Communications in China (ICCC), August 2012.


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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Mostafa M. Fouda
    • 1
    • 2
  • Hiroki Nishiyama
    • 1
  • Ryu Miura
    • 3
  • Nei Kato
    • 1
  1. 1.Graduate School of Information Sciences (GSIS)Tohoku UniversitySendai CityJapan
  2. 2.Faculty of Engineering at ShoubraBenha UniversityCairoEgypt
  3. 3.National Institute of Information and Communications Technology (NICT)YokosukaJapan

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