TY - GEN
T1 - Precise localization in sparse sensor networks using a drone with directional antennas
AU - Sorbelli, Francesco Betti
AU - Das, Sajal K.
AU - Pinotti, Cristina M.
AU - Silvestri, Simone
N1 - Publisher Copyright:
© 2018 ACM. 978-1-4503-6372-3/18/01. . . $15.00.
PY - 2018/1/4
Y1 - 2018/1/4
N2 - 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.
AB - 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.
KW - Directional antennas.
KW - Drone
KW - Localization mission
KW - Static path
UR - http://www.scopus.com/inward/record.url?scp=85041176344&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85041176344&partnerID=8YFLogxK
U2 - 10.1145/3154273.3154295
DO - 10.1145/3154273.3154295
M3 - Conference contribution
AN - SCOPUS:85041176344
T3 - ACM International Conference Proceeding Series
SP - 1
EP - 10
BT - Proceedings of the 19th International Conference on Distributed Computing and Networking, ICDCN 2018
T2 - 19th International Conference on Distributed Computing and Networking, ICDCN 2018
Y2 - 4 January 2018 through 7 January 2018
ER -