Resilient Communications and Information Systems for Disaster-Preparedness Using UAVs, Beacons and Data Aggregators, via Delay-Tolerant Networks on Sub-GHz Frequencies

Lagazo, D.; Cruz, Jerik; Solpico, Dominic B.; Honrado, Jaime Luis E.; Abrajano, Gemalyn; Libatique, Nathaniel Joseph C.; Tangonan, Gregory L.

doi:10.1109/tencon.2018.8650426

Cited by 6 publications

(1 citation statement)

References 6 publications

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“…A resource allocation scheme is proposed to improve user scheduling and energy efficiency of UAV mounted BSs. The flow of critical information using UAVs in the absence of a legacy communication network in the event of a disaster is investigated in [50]. The authors employed multiple UAVs with specialized payloads to scan the affected area for survivors and take images for decision support scenarios.…”

Section: Communication Infrastructurementioning

confidence: 99%

Unmanned Aerial Vehicles enabled IoT Platform for Disaster Management

et al. 2019

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Efficient and reliable systems are required to detect and monitor disasters such as wildfires as well as to notify the people in the disaster-affected areas. Internet of Things (IoT) is the key paradigm that can address the multitude problems related to disaster management. In addition, an unmanned aerial vehicles (UAVs)-enabled IoT platform connected via cellular network can further enhance the robustness of the disaster management system. The UAV-enabled IoT platform is based on three main research areas: (i) ground IoT network; (ii) communication technologies for ground and aerial connectivity; and (iii) data analytics. In this paper, we provide a holistic view of a UAVs-enabled IoT platform which can provide ubiquitous connectivity to both aerial and ground users in challenging environments such as wildfire management. We then highlight key challenges for the design of an efficient and reliable IoT platform. We detail a case study targeting the design of an efficient ground IoT network that can detect and monitor fire and send notifications to people using named data networking (NDN) architecture. The use of NDN architecture in a sensor network for IoT integrates pull-based communication to enable reliable and efficient message dissemination in the network and to notify the users as soon as possible in case of disastrous situations. The results of the case study show the enormous impact on the performance of IoT platform for wildfire management. Lastly, we draw the conclusion and outline future research directions in this field.

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Section: Communication Infrastructurementioning

confidence: 99%

Unmanned Aerial Vehicles enabled IoT Platform for Disaster Management

et al. 2019

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Emerging UAV technology for disaster detection, mitigation, response, and preparedness

Khan

Gupta

2022

Journal of Field Robotics

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In recent years, Unmanned Aerial Vehicles (UAVs) have gained significant interest in research groups due to the wide range of applications, such as disaster surveillance and monitoring, rescue operations, military, civil, and so forth. UAVs are most often used to fulfill both user's services and requirements such as wireless communication facilities to end-users, as a relay node to extend the coverage of the core network, and so forth. UAVs are versatile in design and can cover larger areas, contrary to the Tethered Balloon and Loon Balloon systems. Generally in any natural or humanmade disaster, there is a high potential risk of damage to buildings, transport systems, communication systems, and basic services. During heavy disasters like landslides, forest fires, floods, earthquakes, and so forth, the conventional terrestrial communication system gets destroyed, and people face many problems. In this case, UAVs prove to offer a better solution to provide fast, cost-effective, easy to deploy, and secure wireless communication to the victims. But there are some issues like interference between UAVs and other base stations, coordination between UAVs, Quality of Service requirements, Size, Weight, and Power limitation, delay, coverage, positioning of UAVs, and so forth. This study article mainly highlighted these issues and try to present the recent developments of the state-of-the-art to overcome these issues. In UAV communications, with an increasing emphasis on how UAVs can be integrated with different technologies, such as the Internet of Things, Wireless Sensor Network, Heterogeneous Network, and Cloud computing. The primary aim of this article is to examine how UAVs can assist survivors in floods, earthquakes, tsunamis, or in any natural or human-made disaster situations, either in the present or soon. Also, it focused on various applications of UAVs in disaster management (DM). It underlines the significance of UAVs in DM and their advantages. It also focuses on the various issues and challenges faced by the UAV-based infrastructure and security issues and gives future directions.

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Application of the V-HUB Standard using LoRa Beacons, Mobile Cloud, UAVs, and DTN for Disaster-Resilient Communications

Solpico

Cruz

et al. 2019

2019 IEEE Global Humanitarian Technology Conference (GHTC)

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Resilient Communications and Information Systems for Disaster-Preparedness Using UAVs, Beacons and Data Aggregators, via Delay-Tolerant Networks on Sub-GHz Frequencies

Cited by 6 publications

References 6 publications

Unmanned Aerial Vehicles enabled IoT Platform for Disaster Management

Unmanned Aerial Vehicles enabled IoT Platform for Disaster Management

Emerging UAV technology for disaster detection, mitigation, response, and preparedness

Application of the V-HUB Standard using LoRa Beacons, Mobile Cloud, UAVs, and DTN for Disaster-Resilient Communications

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