Pekcokguler, NaciMaman, MickaelBurg, AndreasDehollain, CatherineMorche, Dominique2021-12-182021-12-182021-12-182021-01-0110.1109/NEWCAS50681.2021.9462768https://infoscience.epfl.ch/handle/20.500.14299/183844WOS:000713009500039Wireless radio consumes the highest power in many systems and must be activated wisely to save power especially in battery-powered systems. Hence, gathering insight into the spectrum activity is needed to control the wireless radio. In this work, classic full-band Fast Fourier Transform (FFT) and sequential digital spectrum scanning systems are presented with their high energy consumption and latency drawbacks. A context-aware, multi-layer-duty-cycled, multi-channel, ultra-low-power analog spectrum monitoring architecture is proposed as a solution to the drawbacks of the classic systems with the emphasis on Wi-Fi signal detection for a Basic Service Set Identifier (BSSID)-based geopositioning shipment tracking application. The proposed architecture provides more than 3 order of magnitude power saving in detection compared to the classic sequential spectrum scanning while maintaining the full functionality under vast variety of operating conditions.Computer Science, Hardware & ArchitectureEngineering, Electrical & ElectronicComputer ScienceEngineeringultra-low-power spectrum monitoringwi-fi detectionwi-fi geopositioningshipment trackingtext::conference output::conference proceedings::conference paper