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Abstract
Modern smartphones are equipped with powerful sensors and communication technologies which can provide useful information about the user including location, altitude, speed etc. and can communicate this information with external devices. This makes them ideal devices for research purposes as they can either be used as sensors themselves or can be used to communicate with sensors. Sensing at a high static sampling frequency leads to rapid depletion of energy sources. On the other hand, sensing at a lower frequency may not capture important events in the surroundings. Therefore, there is a need for adaptive sensing mechanism which can regulate the sampling frequency without compromising the accuracy of data collected. As part of this research, activity and temperature based adaptive sensing mechanisms were developed and tested. These adaptive sampling approaches are applied in the context of Urban Heat Islands to collect spatial-temporal weather data efficiently.