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IEEE 802.11s Mesh Network Analysis for Post Disaster Communication

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 504)

Abstract

Wireless mesh networks (WMN) provide rapidly deployable, cost effective and flexible communication infrastructures. WMNs are particularly useful in the case of disaster, allowing rescuers to build communication infrastructures that may facilitate their work and help them in saving lives. IEEE 802.11s is today the reference standard for wireless mesh networks (WMNs). The aim of this paper is to evaluate the performance of IEEE 802.11s in disaster scenarios when a robust Wireless infrastructures has to be built quickly out of nothing. In such scenarios, parameters like the time elapsed from the distribution of nodes in the area and the successful transmission of the first data packet, or the network delay, may be essential in order to save lives. The aim of this paper is to evaluate such parameters.

Keywords

IEEE 802.11s Mesh network Post disaster communication 

References

  1. 1.
    IEEE Standard for Information Technology–Telecommunications and information exchange between systems–Local and metropolitan area networks–Specific requirements Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) specifications Amendment 10: Mesh Networking, IEEE Std 802.11s-2011 (Amendment to IEEE Std 802.11-2007 as amended by IEEE 802.11k-2008, IEEE 802.11r-2008, IEEE 802.11y-2008, IEEE 802.11w-2009, IEEE 802.11n-2009, IEEE 802.11p-2010, IEEE 802.11z-2010, IEEE 802.11v-2011, and IEEE 802.11u-2011), pp. 1–372Google Scholar
  2. 2.
    Baryun A, Al-Begain K, Villa D (2011) A hybrid network protocol for disaster scenarios. In: 2011 5th International Conference on Next Generation Mobile Applications, Services and Technologies (NGMAST). IEEE, pp 129–136Google Scholar
  3. 3.
    Xu S, Yoshikane N, Shiraiwa M, Tsuritani T, Harai H, Awaji Y, Wada N (2017) Multi-carrier interconnection-based emergency packet transport network planning in disaster recovery. In: Proceedings of the 13th International Conference on DRCN 2017-Design of Reliable Communication Networks. VDE, pp 1–8Google Scholar
  4. 4.
    Jia S, Fadlullah ZM, Kato N, Zhang L (2016) ECO-UDC: an energy efficient data collection method for disaster area networksGoogle Scholar
  5. 5.
    de Albuquerque JC, de Lucena SC, Campos CA (2016) Evaluating data communications in natural disaster scenarios using opportunistic networks with Unmanned Aerial Vehicles. In: 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC). IEEE, pp 1452–1457Google Scholar
  6. 6.
    Phung CV, Minh QT, Toulouse M (2016) Routing optimization model in multihop wireless access networks for disaster recovery. In: 2016 International Conference on Advanced Computing and Applications (ACOMP). IEEE, pp 135–140Google Scholar
  7. 7.
    Tanha M, Sajjadi D, Tong F, Pan J (2016) Disaster management and response for modern cellular networks using flow-based Multi-hop Device-to-Device communications. In: 2016 IEEE 84th Vehicular Technology Conference (VTC-Fall). IEEE, pp 1–7Google Scholar
  8. 8.
    Association IS et al (2012) 802.11-2012-IEEE Standard for information Technology–Telecommunications and information exchange between systems Local and metropolitan area networks–Specific requirements Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications. Accessed http://standards.ieee.org/about/get/802/802.11.html
  9. 9.
    Carrano RC, Magalhães LC, Saade DCM, Albuquerque CV (2011) IEEE 802.11s multihop MAC: a tutorial. IEEE Commun Surv Tutor 13(1):52–67CrossRefGoogle Scholar
  10. 10.
    Chakraborty S, Nandi S (2013) IEEE 802.11s mesh backbone for vehicular communication: Fairness and throughput. IEEE Trans Veh Technol 62(5):2193–2203CrossRefGoogle Scholar
  11. 11.
    Ertürk MA, Vollero L, Aydin MA, Turna OC, Bernaschi M (2014) A framework for modeling and implementing QoS-aware load balancing solutions in WiFi hotspots. In: 2014 11th International Symposium on Wireless Communications Systems (ISWCS). IEEE, pp 33–38Google Scholar
  12. 12.
    The ns-3 network simulator (2019). https://www.nsnam.org. Accessed 1 Oct 2017

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of Computer EngineeringIstanbul UniversityIstanbulTurkey
  2. 2.Department of Computer EngineeringUniversità Campus Bio-Medico di RomaRomeItaly

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