Cache-Aware Optimization of BAN Applications
Body-Area sensor network or BAN-based health monitoring is increasingly becoming a popular alternative to traditional wired bio-monitoring techniques. However, most bio-monitoring applications need continuous processing of large volumes of data, as a result of which both power consumption and computation bandwidth turn out to be serious constraints for sensor network platforms. This has resulted in a lot of recent interest in design methods, modeling and software analysis techniques specifically targeted towards BANs and applications running on them. In this paper, the authors show that appropriate optimization of the application running on the communication gateway of a wireless BAN and accurate modeling of the micro-architectural details of the gateway processor can lead to significantly better resource usage and power savings.