Evaluation of Different Static Trajectories for the Localization of Users in a Mixed Indoor-Outdoor Scenario Using a Real Unmanned Aerial Vehicle

Artemenko, Oleksandr; Rubina, Alina; Simon, Tobias; Mitschele‐Thiel, Andreas

doi:10.1007/978-3-319-25067-0_10

Cited by 7 publications

(2 citation statements)

References 15 publications

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“…some node may indicate they have insufficient packets for accurate positioning, so the mobile anchor node may change its path to accommodate these nodes). The algorithm for anchor placement can be categorized as random, statically planned or dynamically planned trajectories [10][11][12]. Poorly planned trajectories may cause a large localization delay, low localization ratio and increase the localization error.…”

Section: Introductionmentioning

confidence: 99%

Geometric sensitivity of beacon placement using airborne mobile anchors

Ahmad

2019

Bulletin EEI

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Locating fixed sensing devices with a mobile anchor is attractive for covering larger deployment areas. However, the performance sensitivity to the geometric arrangement of anchor beacon positions remains unexplored. Therefore, localization using new RSSI-based localization algorithm, which uses a volumetric probability distribution function is proposed to find the most likely position of a node by information fusion from several mobile beacon radio packets to reduce error over deterministic approaches. This paper presents the guidelines of beacon selection that leads to design the most suitable trajectory, as a trade-off between the energy costs of travelling and transmitting the beacons versus the localization accuracy.

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Section: Introductionmentioning

confidence: 99%

Geometric sensitivity of beacon placement using airborne mobile anchors

Ahmad

2019

Bulletin EEI

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“…The algorithm for anchor placement can be categorized as random, statically planned or dynamically planned trajectories [81]. Poorly planned trajectories may cause a large localization delay, low localization ratio and increase the localization error.…”

Section: Path Planning For the Mobile Anchor Nodementioning

confidence: 99%

Localization of wireless sensor networks using mobile anchor nodes

Ahmad¹

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Wireless sensor networks (WSNs) are an important class of pervasive computing environments. WSNs have been described as a new instrument for gathering data about the natural world, extending the reach of our human senses. WSN applications are dominated by constrained resources such as energy, computing power, storage and communications bandwidth. An important aspect of WSN operation is the geolocation of all the sensor nodes. Automatically determining sensor position after deployment will improve the reporting of the origin of events in indoor and outdoor applications, in areas such as environmental monitoring, target tracking and disaster relief operations. This thesis explores the use of a mobile anchor moving through a sensor

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