基于预测方法的无线体域网跨层优化研究

王力立; 黄成; 吴晓蓓

doi:10.11999/JEIT171007

基于预测方法的无线体域网跨层优化研究

doi: 10.11999/JEIT171007

王力立^{*黄成吴晓蓓},
黄成,
吴晓蓓

基金项目:

中央高校基本科研业务费专项资金资助(30918011329)

计量
- 文章访问数: 1335
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- 被引次数: 0
出版历程
- 收稿日期: 2017-10-26
- 修回日期: 2018-03-26
- 刊出日期: 2018-08-19

Cross-layer Optimization for Wireless Body Area Networks Based on Prediction Method

WANG Lili^{*黄成吴晓蓓},
HUANG Cheng,
WU Xiaobei

Funds:

The Fundamental Research Funds for the Central Universities(30918011329)

摘要

摘要: 为改善无线体域网的能效和传输可靠性，该文针对其具有资源有限、信道质量波动频繁、所传输数据有异构性等特点，提出一种基于链路质量预测的跨层优化方案。通过对物理层、网络层和MAC层的松散耦合，自适应地选择传感器节点的传输功率，并且建立高效节能的端到端路由。仿真结果显示，该方案相对于已有的单层协议，整体提高了体域网的能量效率和传输可靠性。
- 无线体域网 /
- 功率控制 /
- 路由选择 /
- 动态链路
Abstract: In order to improve the energy efficiency and reliability of Wireless Body Area Networks (WBANs), this paper takes full consideration of characteristics of WBANs, such as limited resources, frequent channel quality fluctuations, heterogeneous data traffic, and proposes a Cross-Layer Optimization scheme based on link quality prediction (CLO algorithm). Through the loose coupling of physical layer, network layer and MAC layer, the transmission power of every sensor node is adaptively chosen, and the energy-efficient end-to-end routing is established. Simulation results show that the proposed scheme can improve the energy efficiency and transmission reliability of WBANs as compared with the existing single layer protocols.
- Wireless Body Area Networks (WBANs) /
- Power control /
- Routing /
- Dynamic link

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参考文献(20)

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