A Stackelberg Game based River Water Pollution Monitoring System using LoRa Technology

Water is one of the necessary things required for living. Sensor networks play a major role in detecting the pollution level of the river water. Detection of the sudden changes in the pollution level of the river water is a challenging problem because it requires continuous monitoring of the river water. In this paper, we propose a Stackelberg Game based system to detect the sudden changes of the pollution level of the river water. We use Long Range (LoRa) technology for transferring the sensory data to the server. The LoRa uses different Spreading Factors which helps to reduce the communication energy and enhances the lifetime of the system. We demonstrate the utility of the system and study the impact of the sudden changes of the pollution level of the water on the energy consumption of the system.