Fast and accurate simulation of biomonitoring applications on a wireless body area network

Remote monitoring of the vital signs of a patient at home is becoming increasingly important. Wireless body area sensor networks (BAN) provide a convenient platform for health monitoring. A typical biomonitoring application running on wireless BAN has stringent timing and energy requirements. In this context, a cycle accurate simulator of biomonitoring application running on wireless BAN network is a critical tool for the developer. In this paper, we present a SystemC-based fast simulator that can provide accurate timing and energy estimated for health monitoring applications on wireless BAN, which is then used to strategize the optimizations towards critical functions and/or components. Our case study with MEMSWear-Biomonitoring application shows the accuracy and utility of our simulator.