Improving the Performance of Challenged Networks with Controlled Mobility

Reynaud, Laurent; Guérin-Lassous, Isabelle

doi:10.1007/s11036-017-0818-9

Cited by 2 publications

(2 citation statements)

References 22 publications

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“…Within a communication chain, distances between each two neighbors determine if the force between them is attractive, friction or repulsive, in order to keep the chain connected. A development of this scheme is proposed in [13] to provide area coverage in zones where the network infrastructure is damaged or non-existent. The concept of communication chain is now applied between a source and a destination of data.…”

Section: Related Workmentioning

confidence: 99%

LoRaWAN Networking in Mobile Scenarios Using a WiFi Mesh of UAV Gateways

2020

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Immediately after a disaster, such as a flood, wildfire or earthquake, networks might be congested or disrupted and not suitable for supporting the traffic generated by rescuers. In these situations, the use of a traditional fixed-gateway approach would not be effective due to the mobility of the rescuers. In the present work, a double-layer network system named LoRaUAV has been designed and evaluated with the purpose of finding a solution to the aforementioned issues. LoRaUAV is based on a WiFi ad hoc network of Unmanned Aerial Vehicle (UAV) gateways acting as relays for the traffic generated between mobile LoRaWAN nodes and a remote Base Station (BS). The core of the system is a completely distributed mobility algorithm based on virtual spring forces that periodically updates the UAV topology to adapt to the movement of ground nodes. LoRaUAV has been successfully implemented in ns-3 and its performance has been comparatively evaluated in wild area firefighting scenarios, using Packet Reception Ratio (PRR) and end-to-end delay as the main performance metrics. It is observed that the Connection Recovery and Maintenance (CRM) and Movement Prediction (MP) mechanisms implemented in LoRaUAV effectively help improve the PRR, with the only disadvantage of a higher delay affecting a small percentage of packets caused by buffer delays and disconnections.

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Section: Related Workmentioning

confidence: 99%

LoRaWAN Networking in Mobile Scenarios Using a WiFi Mesh of UAV Gateways

2020

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“…From the aerial component perspective, existing work mainly focus on the deployment of a connected wireless UAVdrones [20].…”

Section: B Aerial Componentmentioning

confidence: 99%

The potential of cooperative communications to speed up disaster relief operations

Mezghani

Mitton

2019

2019 International Conference on Information and Communication Technologies for Disaster Management (ICT-DM)

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This paper proposes FLY-COPE, a complete selforganization architecture that relies on cooperative communications and drone-assisted data collection, allowing a fast location of victims and rescuing operation organization in disaster relief operation. FLY-COPE mainly combines two components: i) a ground component that spontaneously emerges from any communicating devices (piece of infrastructure, mobile phone, etc) that cooperate to alert rescuers and remain all alive as long as possible and ii) an aerial component comprising UAV to communicate efficiently with ground devices. We show by simulation and/or by experimentation that each component of FLY-COPE allows substantial energy saving for efficient and fast disaster response.

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Improving the Performance of Challenged Networks with Controlled Mobility

Cited by 2 publications

References 22 publications

LoRaWAN Networking in Mobile Scenarios Using a WiFi Mesh of UAV Gateways

LoRaWAN Networking in Mobile Scenarios Using a WiFi Mesh of UAV Gateways

The potential of cooperative communications to speed up disaster relief operations

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