SensorSim: a simulation framework for sensor networks
Proceedings of the 3rd ACM international workshop on Modeling, analysis and simulation of wireless and mobile systems
TOSSIM: accurate and scalable simulation of entire TinyOS applications
Proceedings of the 1st international conference on Embedded networked sensor systems
SENS: A Sensor, Environment and Network Simulator
ANSS '04 Proceedings of the 37th annual symposium on Simulation
Simulating the power consumption of large-scale sensor network applications
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Energy Scavenging for Mobile and Wireless Electronics
IEEE Pervasive Computing
A resource-awareness information extraction architecture on mobile grid environment
Journal of Network and Computer Applications
Power/energy estimator for designing WSN nodes with ambient energy harvesting feature
EURASIP Journal on Embedded Systems - Special issue on networked embedded systems for energy management and buildings
| Hi-index | 0.00 |
Accurate power and performance figures are critical to assess the effective design of possible sensor node architectures in Body Area Networks (BANs) since they operate on limited energy storage. Therefore, accurate power models and simulation tools that can model real-life working conditions need to be developed and validated with real platforms. In this paper we propose a sensor node platform designed for health-care applications and a validated simulation model based on event-driven operating system simulation that can be used to accurately analyze performance and power consumption in BANs composed of multiple nodes. Thus, this model can be employed to tune the node architecture and communication layer for different working conditions, applications and topologies of BANs. In this paper we validate the proposed simulation model on different real-life applications and working conditions. Our results show variations of less than 4% between the presented simulation framework and measurements in the final platforms.