Self-adaptive and resilient urban networking infrastructure for disasters and smart city services

Paul G. Flikkema, Morgan Vigil-Hayes

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

When a disaster strikes a city, conventional information networking infrastructure can be damaged or completely lost, leading to suffering or loss of life. These consequences are avoidable with the introduction of an urban networking fabric for emergency services. We describe here an overall design for a Network for Urban Emergency Services (NUES) that provides essential communication services during disasters and post-disaster recovery. The core of NUES is a dense wireless networking fabric composed of low-cost wireless nodes. Because each node is autonomously powered, and NUES takes advantage of satellite networking services, the overall NUES architecture can be independent of all other (conventional) infrastructure, depending only on users' battery-powered devices (such as cell phones or tablets) and satellite data services. But it also has the ability to exploit conventional infrastructure (in particular cellular wireless) to reduce cost and provide greater bandwidth to users. Since some NUES nodes themselves may be damaged or lost, NUES is also designed for resilience, with redundant nodes connected by a self-healing network. Due to its dense coverage and modular node architecture, NUES also provides smart city sensing services the year around, greatly increasing its cost efficiency.

Original languageEnglish (US)
Title of host publicationProceedings - 2017 IEEE International Conference on Big Data, Big Data 2017
EditorsJian-Yun Nie, Zoran Obradovic, Toyotaro Suzumura, Rumi Ghosh, Raghunath Nambiar, Chonggang Wang, Hui Zang, Ricardo Baeza-Yates, Ricardo Baeza-Yates, Xiaohua Hu, Jeremy Kepner, Alfredo Cuzzocrea, Jian Tang, Masashi Toyoda
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4074-4079
Number of pages6
ISBN (Electronic)9781538627143
DOIs
StatePublished - Jul 1 2017
Event5th IEEE International Conference on Big Data, Big Data 2017 - Boston, United States
Duration: Dec 11 2017Dec 14 2017

Publication series

NameProceedings - 2017 IEEE International Conference on Big Data, Big Data 2017
Volume2018-January

Other

Other5th IEEE International Conference on Big Data, Big Data 2017
CountryUnited States
CityBoston
Period12/11/1712/14/17

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems
  • Information Systems and Management
  • Control and Optimization

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  • Cite this

    Flikkema, P. G., & Vigil-Hayes, M. (2017). Self-adaptive and resilient urban networking infrastructure for disasters and smart city services. In J-Y. Nie, Z. Obradovic, T. Suzumura, R. Ghosh, R. Nambiar, C. Wang, H. Zang, R. Baeza-Yates, R. Baeza-Yates, X. Hu, J. Kepner, A. Cuzzocrea, J. Tang, & M. Toyoda (Eds.), Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017 (pp. 4074-4079). (Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BigData.2017.8258424