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Topology-aware Path Planning for In-Transit Coverage of Aerial Post-Disaster Communication Assistance Systems

Zobel, Julian and Becker, Benjamin and Kundel, Ralf and Lieser, Patrick and Steinmetz, Ralf (2020):
Topology-aware Path Planning for In-Transit Coverage of Aerial Post-Disaster Communication Assistance Systems.
45th IEEE Conference on Local Computer Networks (LCN 2020), virtual Conference, 16.-19.11.2020, [Conference or Workshop Item]

Abstract

The increase in natural disasters that impair and destroy communication infrastructure over the last years simultaneously increased the importance of infrastructure-independent ad hoc communication. Especially delay-tolerant networks (DTNs) are able to provide basic communication functionality for civilians, but performance suffers from a typically highly intermittent network with clusters around important locations like shelters. Small Unmanned Aerial Vehicles (UAVs) have proven to be efficient data ferries between clusters, but they require knowledge of cluster locations and also do not cover network nodes in transit between clusters. These in-transit nodes are therefore disconnected from the network for a long time and might miss critical messages like evacuation notices or hazard warnings. This paper provides two contributions for UAV-assisted post-disaster DTN communication. First, we present a novel approach to estimate the location of dynamically changing clusters in a post-disaster scenario. Second, we introduced a topology-aware path planning approach for UAV data ferry flights, covering in-transit node on their way between clusters. Our evaluation results highlight the quality requirements on topology information for an efficient application of Aerial Post-Disaster Communication Assistance Systems and demonstrate the positive impact of in-transit node coverage on the DTN's communication performance.

Item Type: Conference or Workshop Item
Erschienen: 2020
Creators: Zobel, Julian and Becker, Benjamin and Kundel, Ralf and Lieser, Patrick and Steinmetz, Ralf
Title: Topology-aware Path Planning for In-Transit Coverage of Aerial Post-Disaster Communication Assistance Systems
Language: English
Abstract:

The increase in natural disasters that impair and destroy communication infrastructure over the last years simultaneously increased the importance of infrastructure-independent ad hoc communication. Especially delay-tolerant networks (DTNs) are able to provide basic communication functionality for civilians, but performance suffers from a typically highly intermittent network with clusters around important locations like shelters. Small Unmanned Aerial Vehicles (UAVs) have proven to be efficient data ferries between clusters, but they require knowledge of cluster locations and also do not cover network nodes in transit between clusters. These in-transit nodes are therefore disconnected from the network for a long time and might miss critical messages like evacuation notices or hazard warnings. This paper provides two contributions for UAV-assisted post-disaster DTN communication. First, we present a novel approach to estimate the location of dynamically changing clusters in a post-disaster scenario. Second, we introduced a topology-aware path planning approach for UAV data ferry flights, covering in-transit node on their way between clusters. Our evaluation results highlight the quality requirements on topology information for an efficient application of Aerial Post-Disaster Communication Assistance Systems and demonstrate the positive impact of in-transit node coverage on the DTN's communication performance.

Uncontrolled Keywords: emergenCITY_KOM
Divisions: 18 Department of Electrical Engineering and Information Technology
18 Department of Electrical Engineering and Information Technology > Institute of Computer Engineering
18 Department of Electrical Engineering and Information Technology > Institute of Computer Engineering > Multimedia Communications
LOEWE
LOEWE > LOEWE-Zentren
LOEWE > LOEWE-Zentren > emergenCITY
Event Title: 45th IEEE Conference on Local Computer Networks (LCN 2020)
Event Location: virtual Conference
Event Dates: 16.-19.11.2020
Date Deposited: 18 Feb 2021 07:38
Additional Information:

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