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Journal ArticleDOI

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

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TLDR
The state-of-the-art literature on post-disaster wireless communication networks is reviewed, and insights for the future establishment of such networks are provided and several promising research directions are presented.
Abstract
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, our paper reviews 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 facing any large-scale disaster. Then, we present technological solutions for post-disaster communications, such as the recovery of the terrestrial infrastructure, installing aerial networks, and using spaceborne networks. Afterwards, 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 part, and discuss the integrated space-air-ground architectures, routing, delay-tolerant/software-defined networks, and edge computing in the networking layer part. This paper also includes 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, cache-enabled and intelligent reflective surface-enabled networks, placement optimization of aerial base stations (ABSs), and the mobility-related aspects that come into play when deploying aerial networks, such as planning their trajectories and the consequent handovers (HOs).

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Citations
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Journal ArticleDOI

A Survey on UAV-Aided Maritime Communications: Deployment Considerations, Applications, and Future Challenges

TL;DR: This survey presents the state-of-the-art in UAV-aided maritime communications, which, in general, are based on both conventional optimization and machine-learning- aided approaches, related to the integration of 6G advancements.
Journal ArticleDOI

From Sensors to Safety: Internet of Emergency Services (IoES) for Emergency Response and Disaster Management

TL;DR: In this article , the authors explore the use of IoES in emergency response and disaster management, with an emphasis on the role of sensors and IoT devices in providing real-time information to emergency responders.
Proceedings ArticleDOI

Mobility-Aware Resource Allocation in IoRT Network for Post-Disaster Communications with Parameterized Reinforcement Learning

TL;DR: In this paper , a multi-pass deep Q network (MP-DQN) is proposed to optimize the energy efficiency, UE throughput, and serving cell throughput by considering the stationary as well as movable UE without knowing the environmental priori knowledge in MDRUs aided two-tier heterogeneous networks of IoRT.
Journal ArticleDOI

Emergency management through information crowdsourcing

TL;DR: In this paper , the authors propose a new framework to model a scenario in which First Responders, citizens, smart devices, or robots explore the environment in an emergency situation, i.e., after an earthquake, assessing damages and searching for people needing assistance.
Proceedings ArticleDOI

An Energy-efficient Ferry-based Routing Algorithm for Scattered FANET Networks

TL;DR: In this paper , the authors proposed a delay-tolerant routing protocol for flying ad hoc networks (FANETs) which combines position routing and delay tolerant network (DTN) to minimize routing errors.
References
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Optimal LAP Altitude for Maximum Coverage

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WINNER II Channel Models

TL;DR: In this article, the authors present an introduction to channel models and channel models, and a discussion of channel model usage and models and models' models' parameters. But this chapter contains sections titled: Introduction Modelling Considerations Channel Modelling Approach Channel Models and Parameters Channel Model Usage Conclusion
Journal ArticleDOI

Finding your Way in the Fog: Towards a Comprehensive Definition of Fog Computing

TL;DR: A comprehensive definition of the fog is offered, comprehending technologies as diverse as cloud, sensor networks, peer-to-peer networks, network virtualisation functions or configuration management techniques.
Proceedings ArticleDOI

Modeling air-to-ground path loss for low altitude platforms in urban environments

TL;DR: A statistical propagation model is proposed for predicting the air-to-ground path loss between a low altitude platform and a terrestrial terminal based on the urban environment properties, and is dependent on the elevation angle between the terminal and the platform.