“Power Consumption Analysis of Storage Architectures in Wireless Sensor Networks,” Master's thesis or Project, D. Meißner (Supervisor), F. Kargl (Examiner), Inst. of Distr. Sys., Ulm Univ., 2021 – Open
Wireless Sensor Networks consist of sensor nodes that utilize low-power wide area networks to periodically transmit sensor readings (e.g., temperature, humidity, pollution levels) to backend services. These sensor nodes are typically battery-powered and their processing capabilities hence limited. This directly results in a trade-off between temporal resolution of transmitted sensor data and battery lifespan. As part of a research project at the Institute of Distributed System, we research novel storage mechanisms at the sensor node to reduce the temporal resolution by default, but still allowing for high-resolution on-demand access of past readings. The goal of this topic is to investigate the power consumption characteristics of LoRa sensor devices in regard to storing sensor readings in non-volatile memory on the sensor node and transmitting data to the network. This problem can be investigated through the means of network simulations (e.g., using the FLoRa framework for OMNeT++ or similar tools) and analytical calculations. Additionally, practical experiments on real LoRa hardware can be performed to validate the analytical results (not absolutely required for the topic).