This document describes a proposed sensor selection engine that uses semantic web technologies to standardize sensor readings from mobile devices. The system aims to create an ontology of sensors, their capabilities and attributes. It would identify sensor groups that provide similar data with different accuracy and power levels. By correlating sensor data, locations and user activities, the engine could optimize sensor usage to infer context and save battery life. The proposed architecture includes applications, Android framework, a knowledge base, inference engine and sensor manager to control data flow.