Architecture for responsive emergency communications networks

Self-organizing Mobile Ad-hoc Networks (MANETs) based on Delay Tolerant Networking (DTN), are powerful tools for maintaining or reestablishing telecommunications following disasters and other infrastructure disrupting events. However, such networks typically have very limited bandwidth compared with...

Full description

Saved in:
Bibliographic Details
Published in2017 IEEE Global Humanitarian Technology Conference (GHTC) pp. 1 - 9
Main Authors Lieser, Patrick, Alvarez, Flor, Gardner-Stephen, Paul, Hollick, Matthias, Boehnstedt, Doreen
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2017
Subjects
Online AccessGet full text
DOI10.1109/GHTC.2017.8239239

Cover

More Information
Summary:Self-organizing Mobile Ad-hoc Networks (MANETs) based on Delay Tolerant Networking (DTN), are powerful tools for maintaining or reestablishing telecommunications following disasters and other infrastructure disrupting events. However, such networks typically have very limited bandwidth compared with infrastructure-based networks, with the practical effect that they cannot satisfy every demand placed upon them. Thus, if the most critical traffic is to be delivered, and in a timely manner, some form of filtering or prioritization is needed. This paper sets out an architecture for solving this problem, and presents supporting simulation and field results. The architecture is built using the input of several emergency and disaster response organizations, to ensure that the key services required by citizens post-disaster were incorporated. Reflecting the dynamic nature of post-disaster communications needs, as identified in the survey, the architecture provides a framework in which arbitrary prioritization policies can be defined, and redefined, so that the humanitarian utility of a network can be maximized according to the prevailing situation and requirements. A proof-of-concept implementation is presented, yielding orders of magnitude reduction in message delivery latency in both simulation and in a field trial of an existing disaster communications system.
DOI:10.1109/GHTC.2017.8239239