Smart Agriculture Enhancement: Greedy-Based Layered Deployment of Solar Insecticidal Lamps

As one of the physical pest control technologies, solar insecticidal lamps (SILs) align with the development trend of modern agriculture, which emphasizes green and environmentally friendly practices. The integration of SILs with wireless sensor networks (WSNs) has led to the development of a new type of agricultural Internet of Things (IoT), known as SIL-IoT, which aids in better agricultural decision-making. In this paper, the problem of SIL deployment in SIL-IoT is investigated. The existing deployment methods still face challenges such as unrestricted deployment locations and a single evaluation metric. Therefore, to address these shortcomings, we propose a Greedy-based Layered Deployment (GBLD) optimization method. The proposed method consists of two layers: boundary coverage layer and the infill coverage layer. Firstly, in the boundary coverage layer, SILs are deployed layer by layer from the boundary to the center, aiming to cover the boundary points as much as possible. Secondly, based on the first layer, the remaining large area is infill covered to achieve the minimum deployment cost and total weight, satisfying both coverage and connectivity requirements. Furthermore, To meet the application requirements of SIL-IoT in various scenarios, a demand coverage algorithm is proposed that satisfies the specified coverage requirements while minimizing deployment cost and weight. The simulation results demonstrate that the proposed GBLD method can reduce the deployment cost by 3%-5% and can effectively meet the deployment requirements of SIL-IoT application scenarios with different coverage requirements.