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Dynamic cost-effective emergency network provision

Published: 11 December 2017 Publication History

Abstract

The importance to our society of emergency network communications cannot be underestimated. The loss of communication and network systems in a state of emergency denies victims of disaster and city emergency response teams critical information about the crisis. It is essential to restore communication systems and service in order to ensure continuous and efficient emergency operations. This paper presents a cloud-based cost-effective emergency network management system to provide dynamic network services. We have developed a network application to enable users to access the Internet during an emergency. The application is ready to immediately restore lost connectivity through economical embedded systems and UAVs. We implement our prototypes based on Resin.io, a framework that utilizes Linux containers on IoT(Internet of Things) devices to deploy applications. We evaluate our systems on Raspberry Pi, a popular embedded system. We demonstrate the feasibility of our proposed system, showing that it is an economical infrastructure that it can successfully be used for an emergency network to replace a demolished network infrastructure.

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  • (2024)Intelligent Trajectory-based Approach to UAV Location Integrity Checks2024 33rd International Conference on Computer Communications and Networks (ICCCN)10.1109/ICCCN61486.2024.10637654(1-9)Online publication date: 29-Jul-2024
  • (2024)Trajectory-Driven Deep Learning for UAV Location Integrity ChecksIEEE Access10.1109/ACCESS.2024.350763712(178789-178804)Online publication date: 2024
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cover image ACM Conferences
I-TENDER '17: Proceedings of the First CoNEXT Workshop on ICT Tools for Emergency Networks and DisastEr Relief
December 2017
53 pages
ISBN:9781450354240
DOI:10.1145/3152896
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 11 December 2017

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Author Tags

  1. IEEE 802.11 wifi
  2. drones
  3. emergency network communications
  4. raspberry pi
  5. resin.io

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Cited By

View all
  • (2024)Flying Base Station Channel CapacityProceedings of the Seventh International Workshop on Systems and Network Telemetry and Analytics10.1145/3660320.3660335(24-31)Online publication date: 3-Jun-2024
  • (2024)Intelligent Trajectory-based Approach to UAV Location Integrity Checks2024 33rd International Conference on Computer Communications and Networks (ICCCN)10.1109/ICCCN61486.2024.10637654(1-9)Online publication date: 29-Jul-2024
  • (2024)Trajectory-Driven Deep Learning for UAV Location Integrity ChecksIEEE Access10.1109/ACCESS.2024.350763712(178789-178804)Online publication date: 2024
  • (2023)Distributed and Lightweight Software Assurance in Cellular Broadcasting Handshake and Connection EstablishmentElectronics10.3390/electronics1218378212:18(3782)Online publication date: 7-Sep-2023
  • (2021)Knowledge-Based Decision Support System for Emergency Management: The Pandemic FrameworkJournal of Information and Communication Technology10.32890/jict2021.20.4.620:No.4(599-628)Online publication date: 27-Sep-2021

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