Multiresponse Optimization of Stochastic WSN Deployment Using Response Surface Methodology and Desirability Functions

Due to reliance on stochastic deployment, delivery of large-scale WSN presents a major problem in the application of wireless sensor networks (WSN) technology. When deployed in a stochastic manner, the WSN has the utmost challenge of guaranteeing acceptable operational efficiency upon deployment. The research presented in this paper evaluates application of the response surface methodology (RSM) and desirability functions for analysis and optimization of stochastic WSN deployments based on multiple efficiency metrics. Through case studies, the approach is proven successful in modeling individual efficiency metrics, and in providing a way for analyzing deployments, based on numerous efficiency metrics. Additionally, the approach may be used to quantify the effects of optimizing partial efficiency metrics on the overall deployment efficiency.