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Battery friendly packet transmission scheme for body sensor networks.
1Shenzhen Institute of Advanced Technology Chinese Academy of Sciences, Shenzhen 518067, China. hg.li@siat.ac.cn
Summary
This study introduces a battery-friendly packet transmission policy for body sensor networks (BSN) to extend node battery life. The new scheme reduces total charge consumption by 79% while meeting strict delay and deadline constraints.
Area of Science:
- Biomedical Engineering
- Computer Science
- Electrical Engineering
Background:
- Extending battery lifetime is critical for body sensor network (BSN) nodes.
- Existing BSN nodes face challenges with limited battery power, impacting their operational duration and reliability.
- Delay and deadline constraints are crucial for real-time data acquisition in BSN applications.
Purpose of the Study:
- To design and evaluate battery-friendly packet transmission policies for BSN nodes.
- To maximize the battery lifetime of BSN nodes under specific delay and deadline constraints.
- To present a novel local optimization scheme for managing slack time in BSN nodes.
Main Methods:
- Developed an algorithm that simplifies the analytical battery model while maintaining precision.
- Implemented a local optimization scheme to distribute available slack time between adjacent tasks.
- Simulated the proposed scheme on BSN nodes to assess battery performance.
Main Results:
- The local optimization scheme achieved a significant reduction in total charge consumption.
- Demonstrated a 79% decrease in the total charge consumption for six tasks within a BSN node.
- The scheme successfully operated under a strict deadline constraint of 40 minutes.
Conclusions:
- The proposed battery-friendly packet transmission policy effectively extends BSN node battery lifetime.
- The local optimization of slack time is a viable strategy for improving energy efficiency in BSNs.
- This approach offers a practical solution for enhancing the longevity of wearable devices.