Data collection in wireless sensor networks using UAV and compressive data gathering

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dc.contributor.author Ebrahimi, Dariush
dc.contributor.author Sharafeddine, Sanaa
dc.contributor.author Ho, Pin-Han
dc.contributor.author Assi, Chadi
dc.date.accessioned 2019-05-07T12:25:51Z
dc.date.available 2019-05-07T12:25:51Z
dc.date.copyright 2019 en_US
dc.date.issued 2019-05-07
dc.identifier.isbn 9781538647271 en_US
dc.identifier.uri http://hdl.handle.net/10725/10575
dc.description.abstract Fifth generation wireless networks are expected to provide advanced capabilities and create new markets spanning a wide range of use cases. Among these, massive IoT is standing out with the proliferation of sensors and wearable devices that continuously monitor and transmit data for further processing. This paper proposes a novel data collection technique using Unmanned Aerial Vehicles (UAVs) in dense wireless sensor networks (WSNs) using projection-based Compressive Data Gathering (CDG) as a solution methodology. CDG is utilized to aggregate data en route from sets of sensor nodes to a set of projection nodes (heads) in order to notably reduce the number of transmissions leading to energy savings and extended WSN lifetime. The UAVs forward the gathered data from heads to a remote sink to enhance efficiency by avoiding long range transmissions from heads to the sink or multi-hop communications among sensors to the sink. We formulate a joint optimization problem that captures clustering, heads selection, routing trees construction, and UAV trajectory planning. In order to overcome the complexity of the joint optimization problem, we decompose the problem into separate parts and propose a heuristic to solve each subproblem for large-scale network scenarios. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.subject Telecommunication -- Congresses en_US
dc.subject Computer networks -- Congresses en_US
dc.title Data collection in wireless sensor networks using UAV and compressive data gathering en_US
dc.type Conference Paper / Proceeding en_US
dc.author.school SAS en_US
dc.author.idnumber 200502746 en_US
dc.author.department Computer Science And Mathematics en_US
dc.description.embargo N/A en_US
dc.publication.place Piscataway, N.J. en_US
dc.keywords Sensors en_US
dc.keywords Wireless sensor networks en_US
dc.keywords Trajectory en_US
dc.keywords Data collection en_US
dc.keywords Unmanned aerial vehicles en_US
dc.keywords Energy consumption en_US
dc.keywords Sparse matrices en_US
dc.description.bibliographiccitations Includes bibliographical references. en_US
dc.identifier.doi https://doi.org/10.1109/GLOCOM.2018.8647924 en_US
dc.identifier.ctation Ebrahimi, D., Sharafeddine, S., Ho, P. H., & Assi, C. (2018, December). Data Collection in Wireless Sensor Networks Using UAV and Compressive Data Gathering. In 2018 IEEE Global Communications Conference (GLOBECOM) (pp. 1-7). IEEE. en_US
dc.author.email sanaa.sharafeddine@lau.edu.lb en_US
dc.conference.date 9-13 December, 2018 en_US
dc.conference.pages 1-7 en_US
dc.conference.place Abu Dhabi, United Arab Emirates en_US
dc.conference.subtitle proceedings en_US
dc.conference.title 2018 IEEE Global Communications Conference (GLOBECOM) en_US
dc.identifier.tou http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php en_US
dc.identifier.url https://ieeexplore.ieee.org/abstract/document/8647924/references#references en_US
dc.orcid.id https://orcid.org/0000-0001-6548-1624 en_US
dc.publication.date 2019 en_US
dc.author.affiliation Lebanese American University en_US

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