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 (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.
Authors
- Lei Shu (ORCID: https://orcid.org/0000-0002-6700-9347)
- Pengju Si (ORCID: https://orcid.org/0000-0002-1957-216X)
- Yuhao Zhang (ORCID: https://orcid.org/0000-0002-2814-7317)
Institutions
- Nanjing Agricultural University (CN)
- Henan University of Science and Technology (CN)
Publication Details
- Published
- 2025-03-26
- DOI
- https://doi.org/10.1109/icit63637.2025.10965281
- Citations
- 1
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 1.75
Funders
- National Natural Science Foundation of China
- China Postdoctoral Science Foundation
- Aeronautical Science Foundation of China