Adaptive query algorithm for location oriented applications

The Internet of Things and Ubiquitous Computing are becoming more and more popular in the IT world. There are increasingly more heterogeneous systems of interconnected devices, from general purpose smartphones to highly specialized embedded devices. An important constraint of mobile devices is the limited battery capacity. Users will stop using devices that have to be recharged frequently and that are not reliable. For both small sensors and mobile devices a significant energy is consumed with data communication. We develop a system, consisting of a smartphone and an embedded device designed to measure air quality. This paper presents an Adaptive Query Algorithm that can improve the energy consumption for Bluetooth data transfers between the smartphone and the embedded device. Our tests show that considerate querying can lead to power consumption 20 times smaller than in the case of a permanent connection.