Efficient Resource Allocation in Water Quality Sensor Networks

In this study, an efficient resource allocation scheme that uses an optimization algorithm is put forward for optimal resource utilization in a wirelessly powered water quality sensor network system. To achieve the wireless powering, energy harvesting from a dedicated radio frequency (DRF) station is introduced, and is aimed to tackle the fundamental energy issues that confronts sensor network systems. Due to the scarceness of energy resource, an energy consumption optimization model is formulated and validated through the numerical simulation results and the Lagrangian solutions. Based on the employed performance evaluation metrics, the proposed system outperforms an existing benchmark system in numerical simulations. The proposed system performs efficiently using parameters such as convergence based on iteration numbers, and performance comparison of systems.