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Precise Localization in Sparse Sensor Networks using a Drone with Directional Antennas

Published: 04 January 2018 Publication History

Abstract

In this paper, we study a sensor localization technique that replaces fixed anchors with a drone equipped with directional antennas. Our goal is to localize each sensor in the deployment area achieving the localization precision explicitly required by the final user of the sensor networks. Due to the advent of directional antennas, we precisely localize applying a single trilateration for each sensor. To reach the desired precision, we force that each ground distance measured by the drone is greater than a minimum threshold and we set a suitable beamwidth for the directional antennas. Our proposed solution plans a static path for the drone and determines on it the measurements points such that all the sensors are measured at least three times from different antenna orientations. The performance of our solution, evaluated in terms of the static path length and of the achieved precision, is validated by simulation study. With respect to recently published results on sensor localization using flying anchors, our solution finds a shorter path (at least 30%), localizes all the nodes, and requires a single trilateration for each sensor.

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  • (2023)Resilient Localization and Coverage in the Internet of ThingsElectronics10.3390/electronics1214317212:14(3172)Online publication date: 21-Jul-2023
  • (2021)Autonomous UAV Trajectory for Localizing Ground Objects: A Reinforcement Learning ApproachIEEE Transactions on Mobile Computing10.1109/TMC.2020.296698920:4(1312-1324)Online publication date: 1-Apr-2021
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cover image ACM Other conferences
ICDCN '18: Proceedings of the 19th International Conference on Distributed Computing and Networking
January 2018
494 pages
ISBN:9781450363723
DOI:10.1145/3154273
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 04 January 2018

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Author Tags

  1. Drone
  2. directional antennas
  3. localization mission
  4. static path

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Cited By

View all
  • (2024)Comprehensive systematic review of intelligent approaches in UAV-based intrusion detection, blockchain, and network securityComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2023.110140239:COnline publication date: 1-Feb-2024
  • (2023)Resilient Localization and Coverage in the Internet of ThingsElectronics10.3390/electronics1214317212:14(3172)Online publication date: 21-Jul-2023
  • (2021)Autonomous UAV Trajectory for Localizing Ground Objects: A Reinforcement Learning ApproachIEEE Transactions on Mobile Computing10.1109/TMC.2020.296698920:4(1312-1324)Online publication date: 1-Apr-2021
  • (2020)RFEye in the SkyIEEE Transactions on Mobile Computing10.1109/TMC.2020.3038886(1-1)Online publication date: 2020
  • (2018)Range-Free Localization Algorithm Using a Customary Drone2018 IEEE International Conference on Smart Computing (SMARTCOMP)10.1109/SMARTCOMP.2018.00068(9-16)Online publication date: Jun-2018
  • (2018)On the Accuracy of Localizing Terrestrial Objects Using Drones2018 IEEE International Conference on Communications (ICC)10.1109/ICC.2018.8422375(1-7)Online publication date: May-2018

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