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

WANG Lili; HUANG Cheng; WU Xiaobei

doi:10.11999/JEIT171007

Volume 40 Issue 8

Aug. 2018

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WANG Lili, HUANG Cheng, WU Xiaobei . Cross-layer Optimization for Wireless Body Area Networks Based on Prediction Method[J]. Journal of Electronics & Information Technology, 2018, 40(8): 2006-2012. doi: 10.11999/JEIT171007

Citation:

WANG Lili, HUANG Cheng, WU Xiaobei . Cross-layer Optimization for Wireless Body Area Networks Based on Prediction Method[J]. Journal of Electronics & Information Technology, 2018, 40(8): 2006-2012. doi: 10.11999/JEIT171007

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

doi: 10.11999/JEIT171007

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

Funds:

The Fundamental Research Funds for the Central Universities(30918011329)

Received Date: 2017-10-26
Rev Recd Date: 2018-03-26
Publish Date: 2018-08-19

Abstract

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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References(20)

References

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