UAV Aided Range Free Localisation of Heterogeneous Sensor Networks

Jasrotia, Dushyant Singh; Nene, Manisha J.

doi:10.1109/icces48766.2020.9137975

Cited by 1 publication

(1 citation statement)

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“…Some works focus on localizing Sensor Nodes (SNs) on the ground, with no prior knowledge of their position. For instance, a genetic algorithm was proposed to optimize the path length and flight time of a UAV while trying to perform localization of ground SNs using a range-free technique [ 5 ]. Other works use reinforcement learning to minimize the positioning error when trying to locate ground SNs with a UAV [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

Time-Constrained Node Visit Planning for Collaborative UAV–WSN Distributed Applications

Augello

Gaglio

et al. 2022

Sensors

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Unmanned Aerial Vehicles (UAVs) are often studied as tools to perform data collection from Wireless Sensor Networks (WSNs). Path planning is a fundamental aspect of this endeavor. Works in the current literature assume that data are always ready to be retrieved when the UAV passes. This operational model is quite rigid and does not allow for the integration of the UAV as a computational object playing an active role in the network. In fact, the UAV could begin the computation on a first visit and retrieve the data later. Potentially, the UAV could orchestrate the distributed computation to improve its performance, change its parameters, and even upload new applications to the sensor network. In this paper, we analyze a scenario where a UAV plays an active role in the operation of multiple sensor networks by visiting different node clusters to initiate distributed computation and collect the final outcomes. The experimental results validate the effectiveness of the proposed method in optimizing total flight time, Average Age of Information, Average cluster computation end time, and Average data collection time compared to prevalent approaches to UAV path-planning that are adapted to the purpose.

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Section: Introductionmentioning

confidence: 99%