Abstract
Energy minimization is an important goal in wireless implanted communication devices. In this context, a cross-layer method is used to optimize parameters in different layers of OSI model, but, there are still several challenges affecting the optimization algorithm. The first point is the accurate energy model, and the second point is the suitable channel model exclude traditional free space channel model. In this paper, we establish a system level accurate energy consumption model and build a suitable channel model for implanted communication devices; analysis the energy-constrained duty cycle optimization with a cross-layer method. Simulation results reveal that adaptive duty cycle to minimize the energy consumption of the wireless implanted communication system is implemented based on accurate energy consumption model and channel model. Simulation results show a good performance on energy saving.
Highlights
The rapid developments of wireless communication and low power implanted techniques have opened up new frontiers in the race to conquer healthcare challenges
As wireless sensor networking technology comes into reality, it brings the revolution of E-Health application and new challenge of limited energy consumption, especially for implanted communication devices operating without battery replacement in a long time
The works all above have achieved a joint optimization from different layers, but for wireless implanted communication devices, the analysis should take accurate energy model and implanted channel model into account, based on an ideal fixed energy model and free space channel
Summary
The rapid developments of wireless communication and low power implanted techniques have opened up new frontiers in the race to conquer healthcare challenges. As wireless sensor networking technology comes into reality, it brings the revolution of E-Health application and new challenge of limited energy consumption, especially for implanted communication devices operating without battery replacement in a long time. To minimizing the energy consumption, we should achieve an optimal joint design across all layers of the network protocol stack. The works all above have achieved a joint optimization from different layers, but for wireless implanted communication devices, the analysis should take accurate energy model and implanted channel model into account, based on an ideal fixed energy model and free space channel. With the consideration of the parameters affected by PHY and MAC layers, we implement an adaptive duty cycle optimization to minimize the energy consumption based on accurate energy model and channel model for wireless implanted communication devices
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