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Sensors 2017, 17(2), 413; doi:10.3390/s17020413

Analyzing the Effects of UAV Mobility Patterns on Data Collection in Wireless Sensor Networks

Department of Computer Engineering, Faculty of Engineering, Marmara University, 34722 Istanbul, Turkey
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Author to whom correspondence should be addressed.
Academic Editor: Felipe Gonzalez Toro
Received: 28 December 2016 / Revised: 8 February 2017 / Accepted: 15 February 2017 / Published: 20 February 2017
(This article belongs to the Section Remote Sensors)
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Abstract

Sensor nodes in a Wireless Sensor Network (WSN) can be dispersed over a remote sensing area (e.g., the regions that are hardly accessed by human beings). In such kinds of networks, datacollectionbecomesoneofthemajorissues. Getting connected to each sensor node and retrieving the information in time introduces new challenges. Mobile sink usage—especially Unmanned Aerial Vehicles (UAVs)—is the most convenient approach to covering the area and accessing each sensor node in such a large-scale WSN. However, the operation of the UAV depends on some parameters, such as endurance time, altitude, speed, radio type in use, and the path. In this paper, we explore various UAV mobility patterns that follow different paths to sweep the operation area in order to seek the best area coverage with the maximum number of covered nodes in the least amount of time needed by the mobile sink. We also introduce a new metric to formulate the tradeoff between maximizing the covered nodes and minimizing the operation time when choosing the appropriate mobility pattern. A realistic simulation environment is used in order to compare and evaluate the performance of the system. We present the performance results for the explored UAV mobility patterns. The results are very useful to present the tradeoff between maximizing the covered nodes and minimizing the operation time to choose the appropriate mobility pattern. View Full-Text
Keywords: unmanned aerial vehicle (UAV); cluster head; mobility pattern; coverage problem; utilization; quality of service unmanned aerial vehicle (UAV); cluster head; mobility pattern; coverage problem; utilization; quality of service
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Rashed, S.; Soyturk, M. Analyzing the Effects of UAV Mobility Patterns on Data Collection in Wireless Sensor Networks. Sensors 2017, 17, 413.

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