Motivation for a step-by-step guide to set up wireless disaster recovery networks

Herlich, Matthias; Yamada, Shigeki

doi:10.1109/ict-dm.2015.7402025

Cited by 9 publications

(7 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For instance, [164] devised an analytical model describing how survivors can place (by means of a step-by-step guide in the form of mobile application) relay nodes such as mobile phones to communicate over long distances. However, the main challenge is to improve the analytical model since it can only describe the trend of the channel quality and it is generally impractical to perform measurements in emergency scenarios.…”

Section: Year Main Focusmentioning

confidence: 99%

“…The study presented in [166] focused on the impact of various parameters, such as the size of the recovery area, the altitude and the number of nodes per cluster, and the transmit power for backhaul on ABSs, while the authors of Reference [46] discussed the optimal hovering positions of UAVs-based relaying systems. Moreover, works such as [47] and [123] have quantitatively shown that how optimal placement of ABSs can contribute 2015 Long distance communications [164] 2016 Throughput [47] 2018 Stochastic-geometry-based performance analysis [166] Coordination [123] 2019 Relaying systems [46] 2020 Edge-devices for FRs [165] Spectral efficiency [167] 2021 Ergodic capacity [41] in terms of throughput enhancement. Finally, [167] optimizes the positions of ABSs and the assigned users to maximize spectral efficiency while keeping a sufficient QoS for the users.…”

Section: Year Main Focusmentioning

confidence: 99%

See 1 more Smart Citation

Post-Disaster Communications: Enabling Technologies, Architectures, and Open Challenges

Matracia¹,

Saeed²,

Kishk³

et al. 2022

Preprint

View full text Add to dashboard Cite

The number of disasters has increased over the past decade where these calamities significantly affect the functionality of communication networks. In the context of 6G, airborne and spaceborne networks offer hope in disaster recovery to serve the underserved and to be resilient in calamities. Therefore, this paper surveys the state-of-the-art literature on post-disaster wireless communication networks and provides insights for the future establishment of such networks. In particular, we first give an overview of the works investigating the general procedures and strategies for counteracting any large-scale disasters. Then, we present the possible technological solutions for post-disaster communications, such as the recovery of the terrestrial infrastructure, installing aerial networks, and using spaceborne networks.Afterward, we shed light on the technological aspects of post-disaster networks, primarily the physical and networking issues. We present the literature on channel modeling, coverage and capacity, radio resource management, localization, and energy efficiency in the physical layer and discuss the integrated space-air-ground architectures, routing, delay-tolerant/software-defined networks, and edge computing in the networking layer. This paper also presents interesting simulation results which can provide practical guidelines about the deployment of ad hoc network architectures in emergency scenarios. Finally, we present several promising research directions, namely backhauling, placement optimization of aerial base stations, and the mobility-related aspects that come into play when deploying aerial networks, such as planning their trajectories and the consequent handovers.Maurilio Matracia and Mohamed-Slim Alouini are with the Computer, Electrical, and Mathematical Sciences and Engineering

show abstract

Section: Year Main Focusmentioning

confidence: 99%

Section: Year Main Focusmentioning

confidence: 99%

Post-Disaster Communications: Enabling Technologies, Architectures, and Open Challenges

Matracia¹,

Saeed²,

Kishk³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Therefore, digital communication is required to increase the interaction capability among first responders in the work area. These communication limitations have frequently been addressed using mobile ad hoc or opportunistic networks, as well as routing protocols on these networks [4][5][6]. These networks have low bandwidth and their topology is highly dynamic, and as such, they require the exchange of an goals, e.g., to support message delivery in mobile ad hoc networks (MANETs) [25][26][27][28], reduce the traffic [29][30][31] and keep the energy consumption in these infrastructures under control [32][33][34].…”

Section: Introductionmentioning

confidence: 99%

Predicting Topology Propagation Messages in Mobile Ad Hoc Networks: The Value of History

Millan

Aliagas

Molina

et al. 2019

Sensors

View full text Add to dashboard Cite

The mobile ad hoc communication in highly dynamic scenarios, like urban evacuations or search-and-rescue processes, plays a key role in coordinating the activities performed by the participants. Particularly, counting on message routing enhances the communication capability among these actors. Given the high dynamism of these networks and their low bandwidth, having mechanisms to predict the network topology offers several potential advantages; e.g., to reduce the number of topology propagation messages delivered through the network, the consumption of resources in the nodes and the amount of redundant retransmissions. Most strategies reported in the literature to perform these predictions are limited to support high mobility, consume a large amount of resources or require training. In order to contribute towards addressing that challenge, this paper presents a history-based predictor (HBP), which is a prediction strategy based on the assumption that some topological changes in these networks have happened before in the past, therefore, the predictor can take advantage of these patterns following a simple and low-cost approach. The article extends a previous proposal of the authors and evaluates its impact in highly mobile scenarios through the implementation of a real predictor for the optimized link state routing (OLSR) protocol. The use of this predictor, named OLSR-HBP, shows a reduction of 40-55% of topology propagation messages compared to the regular OLSR protocol. Moreover, the use of this predictor has a low cost in terms of CPU and memory consumption, and it can also be used with other routing protocols.Sensors 2020, 20, 24 2 of 24 important number of topology propagation (TP) messages to keep the delivery of regular messages under control. The exchange of TP messages helps reduce the probability of overflowing the network with regular messages that do not reach the destination, rendering the communication system useless at supporting the coordination of the emergency response activities. Provided that many of these communication systems involve mobile ad hoc networks, the routing protocols used to support interactions among nodes (i.e., the first responders) must be simple, efficient and reliable and have the capability of quickly adapting themselves to changes in the network topology [7-10]. Thus, these protocols intend to maximize the reachability of the target nodes, by consuming as little energy from the network as possible.Regardless of the extensive research done in the area, addressing this communication challenge, considering the previous constraints, is still an open issue. Some recent proposals try to deal with this challenge using deep learning in static or quasi-static networks [11]. Although deep learning techniques have shown positive results, these approaches are quite limited when used in mobile scenarios, like emergency responses. Moreover, they require a previous training stage to generate the network model. Novel solutions are therefore required to reduce the number of TP messages ex...

show abstract

“…The literature in this area reports a long list of limitations for using mobile phones and Ultra High Frequency/Very High Frequency (UHF/VHF) radio systems to support these processes [ 2 , 3 , 4 ], and it also recognizes the need to advance the research towards providing real-time and stable digital communication in the field, as a way to reduce the impact of these events on the civil population [ 5 , 6 , 7 , 8 ]. Examples of recent incidents where the response process was seriously limited by the communication support are the flood and landslides affecting Rio de Janeiro (Brazil) in 2011, where almost nine hundred people died [ 9 ], and also the wild fire of Yarnell Hill (USA) in 2013, where 19 firemen died trapped by the fire [ 10 ].…”

Section: Introductionmentioning

confidence: 99%

“…Several recent proposals report solutions that try to deal with this communication challenge, and most of them are based on opportunistic networks [ 6 , 7 , 8 ]. Although useful, they are limited to providing time-constrained message delivery, particularly when there is no direct communication between the teams that need to exchange information.…”

Section: Introductionmentioning

confidence: 99%

Flying Real-Time Network to Coordinate Disaster Relief Activities in Urban Areas

Micheletto

Petrucci

Santos

et al. 2018

Sensors

View full text Add to dashboard Cite

While there have been important advances within wireless communication technology, the provision of communication support during disaster relief activities remains an open issue. The literature in disaster research reports several major restrictions to conducting first response activities in urban areas, given the limitations of telephone networks and radio systems to provide digital communication in the field. In search-and-rescue operations, the communication requirements are increased, since the first responders need to rely on real-time and reliable communication to perform their activities and coordinate their efforts with other teams. Therefore, these limitations open the door to improvisation during disaster relief efforts. In this paper, we argue that flying ad-hoc networks can provide the communication support needed in these scenarios, and propose a new solution towards that goal. The proposal involves the use of flying witness units, implemented using drones, that act as communication gateways between first responders working at different locations of the affected area. The proposal is named the Flying Real-Time Network, and its feasibility to provide communication in a disaster scenario is shown by presenting both a real-time schedulability analysis of message delivery, as well as simulations of the communication support in a physical scenario inspired by a real incident. The obtained results were highly positive and consistent, therefore this proposal represents a step forward towards the solution of this open issue.

show abstract

Motivation for a step-by-step guide to set up wireless disaster recovery networks

Cited by 9 publications

References 15 publications

Post-Disaster Communications: Enabling Technologies, Architectures, and Open Challenges

Post-Disaster Communications: Enabling Technologies, Architectures, and Open Challenges

Predicting Topology Propagation Messages in Mobile Ad Hoc Networks: The Value of History

Flying Real-Time Network to Coordinate Disaster Relief Activities in Urban Areas

Contact Info

Product

Resources

About