Aerial Base Stations for Enabling Cellular Communications during Emergency Situation

Singh, Ramanpreet; Thompson, Michael F.; Mathews, Steffy Ann; Agbogidi, Oghenetega; Bhadane, Kunal; Namuduri, Kamesh

doi:10.1109/icvisp.2017.24

Cited by 10 publications

(8 citation statements)

References 4 publications

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“…In particular, drones are equipped with the same technology that constitutes the highest tiers. For instance, they can be equipped with on-board femto-cells, and provide ad-hoc cellular communication to the nodes in the highest tier [18,19]. In particular, a drone makes a tour of the network by reaching certain designated locations, where it collects data from one or more nodes, depending on the specific path planning algorithm employed (refer to Section 5 for more details).…”

Section: Multi-technology Network Architecturementioning

confidence: 99%

Opportunistic Multi-Technology Cooperative Scheme and UAV Relaying for Network Disaster Recovery

Mezghani

Mitton

2020

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Disaster scenarios are particularly catastrophic in urban environments, which are very densely populated in many cases. Disasters not only endanger the life of people, but also affect the existing communication infrastructures. In fact, such an infrastructure could be completely destroyed or damaged; even when it continues working, it suffers from high access demand to its limited resources within a short period of time. This work evaluates the performances of smartphones and leverages the ubiquitous presence of mobile devices in urban scenarios to assist search and rescue activities following a disaster. Specifically, it proposes a collaborative protocol that opportunistically organizes mobile devices in multiple tiers by targeting a fair energy consumption in the whole network. Moreover, it introduces a data collection scheme that employs drones to scan the disaster area and to visit mobile devices and collect their data in a short time. Simulation results in realistic settings show that the proposed solution balances the energy consumption in the network by means of efficient drone routes and smart self-organization, thereby effectively assisting search and rescue operations.

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Section: Multi-technology Network Architecturementioning

confidence: 99%

Opportunistic Multi-Technology Cooperative Scheme and UAV Relaying for Network Disaster Recovery

Mezghani

Mitton

2020

Information

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“…Their RSS performance is improved by controlling the beam direction, thus taking advantage of MIMO diversity gain. In [46] the authors design an aerial platform for enabling communications and information sharing among the first responders and citizens during disaster recovery operations. Based on the experiment, their proposed model shows reasonable results in terms of coverage and link budget parameters.…”

Section: Performance Indicatorsmentioning

confidence: 99%

Deployment of an aerial platform system for rapid restoration of communications links after a disaster: a machine learning approach

Almalki

Angelides

2019

Computing

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Having reliable telecommunication systems in the immediate aftermath of a catastrophic event makes a huge difference in the combined effort by local authorities, local fire and police departments, and rescue teams to save lives. This paper proposes a physical model that links base stations that are still operational with aerial platforms and then uses a machine learning framework to evolve ground-to-air propagation model for such an ad hoc network. Such a physical model is quick and easy to deploy and the underlying air-to-ground (ATG) propagation models are both resilient and scalable and may use a wide range of link budget, grade of service (GoS), and quality of service (QoS) parameters to optimise their performance and in turn the effectiveness of the physical model. The prediction results of a simulated deployment of such a physical model and the evolved propagation model in an ad hoc network offers much promise in restoring communication links during emergency relief operations.

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“…Each cluster elects one node as cluster head (CH) to act as a bridge between tiers, collecting data from the lower tier and relaying them upwards. At the other end, the network includes a drone that is sent on-demand to fly over the area affected by the disaster, providing ad-hoc cellular communication [99,121] to the nodes in the highest tier and collecting data from them ( Figure 5.1).…”

Section: Multi-tier Communicationmentioning

confidence: 99%

A multi-tier data reduction mechanism for IoT sensors

Feng¹,

Kortoçi

Liu³

2017

Proceedings of the Seventh International Conference on the Internet of Things

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The author of this dissertation designed the experimental plan, independently carried out the experimental evaluation of the prototype, analyzed the results, and wrote the article. Publication II: "Fog-based Data Offloading in Urban IoT Scenarios" The author of this dissertation jointly identified the problem space with the co-authors, proposed and formulated the model, designed the evaluation plan, independently implemented the simulator, analyzed the results, and wrote the article.

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Aerial Base Stations for Enabling Cellular Communications during Emergency Situation

Cited by 10 publications

References 4 publications

Opportunistic Multi-Technology Cooperative Scheme and UAV Relaying for Network Disaster Recovery

Opportunistic Multi-Technology Cooperative Scheme and UAV Relaying for Network Disaster Recovery

Deployment of an aerial platform system for rapid restoration of communications links after a disaster: a machine learning approach

A multi-tier data reduction mechanism for IoT sensors

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