SIL-IoVTs: A Bi-Level Optimization Approach for Pest Control and Intruder Monitoring in Smart Agriculture

Solar Insecticidal Lamps Internet of Things (SIL-IoTs), used for green agriculture, face theft and destruction due to high costs. To address this, we introduce SILC nodes by embedding cameras in SIL nodes, forming SIL-IoVTs for pest control and intruder monitoring. SIL-IoVTs involve omni-directional...

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Vydáno v:IEEE International Conference on Industrial Technology (Online) s. 1 - 5
Hlavní autoři: Zhang, Yuhao, Si, Pengju, Shu, Lei
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 26.03.2025
Témata:
Cameras
coverage model
Faces
Green products
insecticidal lamp (IL)
Internet of Things
Internet of things (IoT)
Monitoring
Optimization
Pest control
Sensors
Simulation
Smart agriculture
video monitoring
ISSN:2643-2978
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Shrnutí:Solar Insecticidal Lamps Internet of Things (SIL-IoTs), used for green agriculture, face theft and destruction due to high costs. To address this, we introduce SILC nodes by embedding cameras in SIL nodes, forming SIL-IoVTs for pest control and intruder monitoring. SIL-IoVTs involve omni-directional (SIL) and directional (camera) sensing models for area and target coverage. We formulate an optimal deployment model and develop a bi-level algorithm to solve it, iteratively deploying SIL nodes for pest control and cameras for monitoring. Simulation results show the method's effectiveness and progressiveness.
ISSN:2643-2978
DOI:10.1109/ICIT63637.2025.10965281