Info: Zenodo’s user support line is staffed on regular business days between Dec 23 and Jan 5. Response times may be slightly longer than normal.

Published August 1, 2017 | Version v1
Journal article Open

Communication Recovery with Emergency Aerial Networks

  • 1. University of Athens (UoA), University of Catalonia (UPC)
  • 2. Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
  • 3. Iquadrat Informatica S.L.
  • 4. Universitat Politècnica de Catalunya (UPC)

Description

In spite of the significant advancements in wireless connectivity, the static form of the network infrastructure cannot guarantee an uninterrupted operation of the ever-growing wireless consumer electronics in emergency situations such as natural disasters. In such occasions, employing flexible aerial nodes can tackle this issue by recovering the communication rapidly, when the need for connectivity is of utmost importance. In this paper, we study the use of aerial nodes for communication recovery after a communication breakdown. We provide an analytical model of the recovery probability that demonstrates the capabilities of such networks. In the performance evaluation, we show the effects of the altitude and the distance between the aerial nodes on the recovery probability and verify them with simulations. Moreover, we introduce our testbed and preliminary experimental work that shows promising results for aerial networks. Finally, we discuss useful insights for the network design and present some open issues that exist in this field.

Notes

© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Files

Communication Recovery with Emergency.pdf

Files (2.8 MB)

Name Size Download all
md5:c99f5b95b535e23f3e756dda1373face
2.8 MB Preview Download