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Drone’s node placement algorithm with routing protocols to enhance surveillance

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 13 No. 4 (2023)

DOI
10.11591/ijece.v13i4.pp4194-4203
ISSN
2722-2578, 2088-8708
Published
2023-08-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Flying ad-hoc network (FANET) is characterized by key component features such as communication scheme, energy awareness, and task distribution. In this research, a surveillance space considering standard petroleum pipe was created with three drones viz: drone 1 (D1), master drone (DM), and drone 2 (D2) to survey as FANET. DM aggregate packets from D1, D2 and communicate with the static ground control station (SGCS). The starting point of the three drones and their trajectories during deployment were calculated and simulated. Selection of DM, D1, and D2 was done using battery level before take-off. Simulation results show take-off time difference which depends on the distance of each drone to the SGCS during deployment. D1 take-off first, while DM and D2 followed after 0.0704 and 0.1314 ms respectively. The position-oriented routing protocols results indicated variation of information flow within time notch due to variation in the density of the transmitted packets. Packets delivery periods are 0.00136×10 3 sec, 0.00110×10 3 sec, and 0.00246×10 3 sec for time notch 1, 2, and aggregating time notch respectively. From the results obtained, two algorithms were used successfully in deploying the drones

Collaboration network of the authors

16 authors · 45 co-authorship links · 20 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Ahmadu Bello University
  • Federal University of Technology
  • University of Jos
  • Pan African University Institute for Basic Sciences, Technology and Innovation
  • University of Nairobi
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Habeeb Bello-SalauAhmadu Bello University2
Adeiza James OnumanyiFederal University of Technology2
Bashir Olaniyi SadiqAhmadu Bello University2
Jibrin BalaAhmadu Bello University1
Ime Jarlath UmohAhmadu Bello University1
Basira YahayaAhmadu Bello University1
Henry Ohiani OhizeFederal University of Technology1
Abiodun Musa AibinuFederal University of Technology1
Vitalice Kalecha OduolUniversity of Nairobi1
Abduljalal Yusha’u KassimPan African University Institute for Basic Sciences, Technology and Innovation1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Drone’s node placement algorithm with routing protocols to enhance surveillance</dc:title><dc:creator>Akut, Emmanuel Kasai</dc:creator><dc:creator>Usman, Aliyu Danjuma</dc:creator><dc:creator>Abubilal, Kabir Ahmad</dc:creator><dc:creator>Bello, Habeeb</dc:creator><dc:creator>Salawudeen, Ahmed Tijani</dc:creator><dc:creator>Yaro, Abdulmalik Shehu</dc:creator><dc:description>&lt;jats:p&gt;&amp;lt;span lang="EN-US"&amp;gt;Flying ad-hoc network (FANET) is characterized by key component features such as communication scheme, energy awareness, and task distribution. In this research, a surveillance space considering standard petroleum pipe was created with three drones viz: drone 1 (D1), master drone (DM), and drone 2 (D2) to survey as FANET. DM aggregate packets from D1, D2 and communicate with the static ground control station (SGCS). The starting point of the three drones and their trajectories during deployment were calculated and simulated. Selection of DM, D1, and D2 was done using battery level before take-off. Simulation results show take-off time difference which depends on the distance of each drone to the SGCS during deployment. D1 take-off first, while DM and D2 followed after 0.0704 and 0.1314 ms respectively. The position-oriented routing protocols results indicated variation of information flow within time notch due to variation in the density of the transmitted packets. Packets delivery periods are 0.00136×10&amp;lt;sup&amp;gt;3&amp;lt;/sup&amp;gt; sec, 0.00110×10&amp;lt;sup&amp;gt;3&amp;lt;/sup&amp;gt; sec, and 0.00246×10&amp;lt;sup&amp;gt;3&amp;lt;/sup&amp;gt; sec for time notch 1, 2, and aggregating time notch respectively. From the results obtained, two algorithms were used successfully in deploying the drones&amp;lt;/span&amp;gt;&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2023-08-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v13i4.pp4194-4203</dc:identifier><dc:identifier>10.11591/ijece.v13i4.pp4194-4203</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 13 No 4 (2023); 4194</dc:source><dc:source>2722-2578</dc:source><dc:source>2088-8708</dc:source><dc:relation>https://ijece.iaescore.com/index.php/IJECE/article/viewFile/30929/16701</dc:relation><dc:rights>http://creativecommons.org/licenses/by-sa/4.0</dc:rights></oai_dc:dc>