29 March 2018 Drone swarm with free-space optical communication to detect and make deep decisions about physical problems for area surveillance
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Abstract
This paper aims to design a drone swarm network by employing free-space optical (FSO) communication for detecting and deep decision making of topological problems (e.g., oil pipeline leak), where deep decision making requires the highest image resolution. Drones have been widely used for monitoring and detecting problems in industrial applications during which the drone sends images from the on-air camera video stream using radio frequency (RF) signals. To obtain higher-resolution images, higher bandwidth (BW) is required. The current study proposed the use of the FSO communication system to facilitate higher BW for higher image resolution. Moreover, the number of drones required to survey a large physical area exceeded the capabilities of RF technologies. Our configuration of the drones is V-shaped swarm with one leading drone called mother drone (DM). The optical decode-and-forward (DF) technique is used to send the optical payloads of all drones in V-shaped swarm to the single ground station through DM. Furthermore, it is found that the transmitted optical power (Pt) is required for each drone based on the threshold outage probability of FSO link failure among the onboard optical-DF drones. The bit error rate of optical payload is calculated based on optical-DF onboard processing. Finally, the number of drones required for different image resolutions based on the size of the considered topological area is optimized.
© 2018 Society of Photo-Optical Instrumentation Engineers (SPIE)
Wamidh Jalil Mazher, Hadeel T. Ibrahim, Osman N. Ucan, Oguz Bayat, "Drone swarm with free-space optical communication to detect and make deep decisions about physical problems for area surveillance," Optical Engineering 57(3), 036116 (29 March 2018). https://doi.org/10.1117/1.OE.57.3.036116 . Submission: Received: 3 October 2017; Accepted: 6 March 2018
Received: 3 October 2017; Accepted: 6 March 2018; Published: 29 March 2018
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