Optimal Placement of Mobile Sensors for the Distance-Constrained Line Routing Problem Full article
Conference |
XXIII International Conference Mathematical Optimization Theory and Operations Research 30 Jun - 6 Jul 2024 , Омск |
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Source | Mathematical Optimization Theory and Operations Research: Recent Trends Compilation, Springer. 2024. 388 c. ISBN 978-3-031-73364-2. |
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Journal |
Communications in Computer and Information Science
ISSN: 1865-0929 |
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Output data | Year: 2024, Volume: 2239, Pages: 172-184 Pages count : 13 DOI: 10.1007/978-3-031-73365-9_12 | ||||||
Tags | Barrier covering · Drones · Limited energy · Optimization | ||||||
Authors |
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Affiliations |
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Funding (1)
1 | Russian Science Foundation | 22-71-10063 |
Abstract:
A line segment (barrier) is specified on the plane, as well as the location of the depots. Each sensor can travel a limited-length path, starting and ending at its depot. The part of the barrier along which the sensor moved is covered by this sensor. It is necessary to determine the number of sensors (drones) in each depot in order to cover the entire barrier using a minimal number of drones (problem MinNum), or to minimize the maximum distance traveled by each drone (problem MinMax), or to minimize the total length of paths traveled by all drones (problem MinSum). Previously, the problem MinNum of covering a barrier using minimal number of drones (one drone in each depot) was considered. In the problem considered in this paper, the solution is the number of drones in each depot, as well as the trajectory of each drone. We propose algorithms for solving the problem for all three criteria mentioned above.
Cite:
Erzin A.
, Shadrina A.
Optimal Placement of Mobile Sensors for the Distance-Constrained Line Routing Problem
In compilation Mathematical Optimization Theory and Operations Research: Recent Trends. – Springer., 2024. – Т.2239. – C.172-184. – ISBN 978-3-031-73364-2. DOI: 10.1007/978-3-031-73365-9_12 Scopus OpenAlex
Optimal Placement of Mobile Sensors for the Distance-Constrained Line Routing Problem
In compilation Mathematical Optimization Theory and Operations Research: Recent Trends. – Springer., 2024. – Т.2239. – C.172-184. – ISBN 978-3-031-73364-2. DOI: 10.1007/978-3-031-73365-9_12 Scopus OpenAlex
Dates:
Published print: | Dec 20, 2024 |
Published online: | Dec 20, 2024 |
Identifiers:
Scopus: | 2-s2.0-85214278891 |
OpenAlex: | W4405597993 |
Citing:
Пока нет цитирований