Deakin University
Browse

File(s) under permanent embargo

Exploiting a fleet of UAVs for monitoring and data acquisition of a distributed sensor network

journal contribution
posted on 2021-03-30, 00:00 authored by Somaiyeh MahmoudZadeh, Amirmehdi Yazdani, Atabak ElmiAtabak Elmi, Amin Abbasi, Pooria Ghanooni
This study proposes an efficient data collection strategy exploiting a team of unmanned aerial vehicles (UAVs) to monitor and collect the data of a large distributed sensor network usually used for environmental monitoring, meteorology, agriculture, and renewable energy applications. The study develops a collaborative mission planning system that enables a team of UAVs to conduct and complete the mission of sensors’ data collection collaboratively while considering existing constrains of the UAV payload and battery capacity. The proposed mission planner system employs the differential evolution optimization algorithm enabling UAVs to maximize the number of visited sensor nodes given the priority of the sensors and avoiding redundant collection of sensors’ data. The proposed mission planner is evaluated through extensive simulation and comparative analysis. The simulation results confirm the effectiveness and fidelity of the proposed mission planner to be used for the distributed sensor network monitoring and data collection.

History

Journal

Neural Computing and Applications

Pagination

1 - 14

Publisher

Springer

Location

Berlin, Germany

ISSN

0941-0643

eISSN

1433-3058

Language

eng

Notes

In Press

Publication classification

C1 Refereed article in a scholarly journal