Optimizing spatiotemporal sensors placement for nutrient monitoring: a stochastic optimization framework

摘要: Nutrient monitoring is very important for the area of food–energy–water nexus. The sensor network nutrient requires dynamic sensing where positions sensors change with time. In this work, we have proposed a methodology to optimize which can address spatiotemporal aspect movement in watershed. This first paper series an algorithmic and methodological framework placement problem proposed. Dynamic widely used wireless sensors, current approaches solving are data intensive. time introducing stochastic optimization approach efficient. based on novel algorithm called Better Optimization Nonlinear Uncertain Systems (BONUS). A small case study presented illustrate approach. second series, will present detailed