A mobility model for UAV ad hoc network

Bouachir, Ouns; Abrassart, Alinoé; Garcia, Fabien; Larrieu, Nicolas

doi:10.1109/icuas.2014.6842277

Cited by 135 publications

(81 citation statements)

References 21 publications

(27 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Furthermore, UAVs are used for specific missions that can include several different mobility patterns like area scanning, reaching a way-point, staying at a position or even patrol around a circuit. Accordingly, an innovative approach has been proposed in [10] where the author provided a mobility pattern for UAVs based on real traces. The diversity of UAV moves leads to very varied connectivity patterns.…”

Section: Uaanets Characteristicsmentioning

confidence: 99%

Emulation-Based Performance Evaluation of Routing Protocols for Uaanets

Maxa¹,

Roudière²,

Larrieu³

2015

Lecture Notes in Computer Science

Self Cite

View full text Add to dashboard Cite

Abstract. UAV Ad hoc NETwork (UAANET) is a subset of the wellknown Mobile Ad-hoc NETworks (MANETs). It consists of forming an ad hoc network with multiple small Unmanned Aerial Vehicles (UAVs) and the Ground Control Station (GCS). Similar to MANETs, the UAANET communication architecture is infrastructure-less and self-configuring network of several nodes forwarding data packets. However, it also has some specific features that brings challenges on network connectivity. Consequently, an adapted routing protocol is needed to exchange data packets within UAANETs. In this paper, we introduce a new hybrid experimental system that can evaluate different types of adhoc routing protocols under a realistic UAANET scenario. It is based on virtual machines and the Virtualmesh [1] framework to emulate physical aspects. We evaluated AODV, DSR and OLSR efficiency in a realistic scenario with three UAVs scanning an area. Our results show that AODV outperformed OLSR and DSR.

show abstract

Section: Uaanets Characteristicsmentioning

confidence: 99%

Emulation-Based Performance Evaluation of Routing Protocols for Uaanets

Maxa¹,

Roudière²,

Larrieu³

2015

Lecture Notes in Computer Science

Self Cite

View full text Add to dashboard Cite

show abstract

“…In order to expand the scope, UAVs incline toward the development through the zone with that does not discover yet. It was demonstrated that the utilization of a run of the mill MANET versatility model may bring about an undesirable way gets ready for helpful UAV applications, it was likewise watched that the irregular model is strikingly straightforward; however it prompts common results [25]. However, the pheromone base model has extremely dependable checking properties.…”

Section: Mobility Models Used In Fanetsmentioning

confidence: 99%

“…As a case in point, it might be utilized to contrast a few steering conventions all together to locate the suitable one for each UAV advertisement tothesystem. In addition, PPRZM can adjust to a mission since it assembles most UAV conceivable development by changing the likelihood of every development sort as required [25].…”

Section: Mobility Models Used In Fanetsmentioning

confidence: 99%

Flying Ad-Hoc Networks: Routing Protocols, Mobility Models, Issues

Yassein¹,

Damer²

2016

ijacsa

View full text Add to dashboard Cite

show abstract

“…Focusing solely on existing proposals addressing mobility models, we can find works such as [35] where authors propose the Paparazzi Mobility Model (PPRZM) by defining five types of movements-Stay-On, Waypoint, Eight, Scan, and Oval-following a defined state machine with different probabilities to change between states. There are even studies following animal-based navigation patterns.…”

Section: Related Workmentioning

confidence: 99%

Using UAV-Based Systems to Monitor Air Pollution in Areas with Poor Accessibility

Alvear

Zema

Natalizio

et al. 2017

Journal of Advanced Transportation

View full text Add to dashboard Cite

Air pollution monitoring has recently become an issue of utmost importance in our society. Despite the fact that crowdsensing approaches could be an adequate solution for urban areas, they cannot be implemented in rural environments. Instead, deploying a fleet of UAVs could be considered an acceptable alternative. Embracing this approach, this paper proposes the use of UAVs equipped with off-the-shelf sensors to perform air pollution monitoring tasks. These UAVs are guided by our proposed Pollution-driven UAV Control (PdUC) algorithm, which is based on a chemotaxis metaheuristic and a local particle swarm optimization strategy. Together, they allow automatically performing the monitoring of a specified area using UAVs. Experimental results show that, when using PdUC, an implicit priority guides the construction of pollution maps by focusing on areas where the pollutants' concentration is higher. This way, accurate maps can be constructed in a faster manner when compared to other strategies. The PdUC scheme is compared against various standard mobility models through simulation, showing that it achieves better performance. In particular, it is able to find the most polluted areas with more accuracy and provides a higher coverage within the time bounds defined by the UAV flight time.

show abstract

A mobility model for UAV ad hoc network

Cited by 135 publications

References 21 publications

Emulation-Based Performance Evaluation of Routing Protocols for Uaanets

Emulation-Based Performance Evaluation of Routing Protocols for Uaanets

Flying Ad-Hoc Networks: Routing Protocols, Mobility Models, Issues

Using UAV-Based Systems to Monitor Air Pollution in Areas with Poor Accessibility

Contact Info

Product

Resources

About