Three-Dimensional Surface Area Computation and Coverage Optimization in Directional Sensor Networks: With Applications for Vertical Farming
Translated title
Three-Dimensional Surface Area Computation and Coverage Optimization in Directional Sensor Networks
Authors
Madsen, Mads Bjørn ; Aver, Lau Christian ; Nygaard, Frederick Alexander Bue
Term
4. term
Education
Publication year
2024
Submitted on
2024-06-03
Pages
33
Abstract
In an increasingly automated society monitoring becomes more and more important. Especially in production lines sensors play a vital role in ensuring quality and uniformity in products. A broad range of sensors are being employed to handle the task. In this paper we examine a selection of directional sensors in a vertical farm setting. By use of a Particle Swarm Optimization algorithm we try to maximize the surface area covered by a sensor in a bounded environment. It is possible for the algorithm to improve upon an initial, randomly generated position of the sensor and find a near optimal solution with maximized surface area covered. Additionally, we find that static sensors are being outperformed significantly by sensors with gyral capabilities.
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