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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

An energy efficient joint localization and synchronization solution for wireless sensor networks using unmanned aerial vehicle

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Author(s):
Villas, Leandro A. [1] ; Guidoni, Daniel L. [2] ; Maia, Guilherme [3] ; Pazzi, Richard W. [4] ; Ueyama, Jo [5] ; Loureiro, Antonio A. F. [3]
Total Authors: 6
Affiliation:
[1] Univ Estadual Campinas, Inst Comp, Campinas, SP - Brazil
[2] Univ Fed Sao Joao del Rei, Dept Comp Sci, Sao Joao Del Rei - Brazil
[3] Univ Fed Minas Gerais, Dept Comp Sci, Belo Horizonte, MG - Brazil
[4] Univ Ontario, Inst Technol, Fac Business & Informat Technol, Oshawa, ON - Canada
[5] Univ Sao Paulo, Inst Math & Comp Sci, Sao Paulo - Brazil
Total Affiliations: 5
Document type: Journal article
Source: WIRELESS NETWORKS; v. 21, n. 2, p. 485-498, FEB 2015.
Web of Science Citations: 5
Abstract

Localization and synchronization are fundamental services for many applications in wireless sensor networks (WSNs), since it is often required to know the sensor nodes' position and global time to relate a given event detection to a specific location and time. However, the localization and synchronization tasks are often performed after the sensor nodes' deployment on the sensor field. Since manual configuration of sensor nodes is usually an impractical activity, it is necessary to rely on specific algorithms to solve both localization and clock synchronization problems of sensor nodes. With this in mind, in this work we propose a joint solution for the problem of 3D localization and time synchronization in WSNs using an unmanned aerial vehicle (UAV). A UAV equipped with GPS flies over the sensor field broadcasting its geographical position. Therefore, sensor nodes are able to estimate their geographical position and global time without the need of equipping them with a GPS device. Through simulation experiments, we show that our proposed joint solution reduces time synchronization and localization errors as well as energy consumption when compared to solutions found in the literature. (AU)

FAPESP's process: 12/22550-0 - Exploiting the sensor web and participatory sensing approaches for urban river monitoring
Grantee:Jó Ueyama
Support Opportunities: Regular Research Grants