Journal of Ambient Intelligence and Smart Environments - Context Awareness
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Wearable sensor nodes are highly constrained in terms of size, and, as a result, battery size and capacity. During a real time data collection, sensor nodes can communicate data continuously, however, this may reduce the system lifetime. Hence, we suggest an intelligent data collection algorithm that screens the sensor data and transmits only the segments of sensor data that might be of interest. Additionally, the proposed approach does not require extensive system training, since it is based on a flexible Body Sensor Network(BSN) data repository. User can select movements of interest in a repository, and load the sensor nodes with the relevant meta data. Based on the meta data, sensor nodes can decide whether a specific part of the collected sensor data needs to be transmitted. We extend the idea by exploring the idea of dynamically associating the relevance of the data to the amount of energy available at the sensor node.