Optimal Deployment of IoT-based Solar Insecticide Lamps under Coverage and Maintenance Cost Considerations

Abstract

Solar insecticidal lamps Internet of things (SIL-IoTs) has a long-term application trend, because it makes agricultural pest control more environmentally friendly and intelligent. However, the increase of lamps deployed has resulted in the challenge about maintenance burden. In this paper, we therefore provide a constrained SIL Deployment Problem under Coverage and Maintenance Cost considerations, referred to as cSILDP-CMC, where the positions used to deploy SIL nodes are a limited set of weighted Candidate Locations (CL) located on the ridges. A novel method is proposed to quantify the maintenance cost of each CL based on their comprehensive weight of coverage and maintenance cost considerations. Then we formulate the cSILDP-CMC and propose an Iterative Deployment Method (IDM) to solve the defined optimization problem. Finally, the experimental results show that our proposal equips better performance in terms of deployment cost, total comprehensive weight and coverage uniformity compared with the other four peer algorithms.