Adaptive Queue Management Scheme for Body Area Network with Energy Harvesting

Young Rok Jang; Yongok Kim; Jang-Won Lee; Daesik Hong; Sooyong Choi

8th International Conference on Body Area Networks

Research Article

Adaptive Queue Management Scheme for Body Area Network with Energy Harvesting

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.4108/icst.bodynets.2013.253666,
    author={Young Rok Jang and Yongok Kim and Jang-Won Lee and Daesik Hong and Sooyong Choi},
    title={Adaptive Queue Management Scheme for Body Area Network with Energy Harvesting},
    proceedings={8th International Conference on Body Area Networks},
    publisher={ICST},
    proceedings_a={BODYNETS},
    year={2013},
    month={10},
    keywords={rf energy harvesting queue stability wireless body area network (wban) lifetime data overflow},
    doi={10.4108/icst.bodynets.2013.253666}
}

Young Rok Jang
Yongok Kim
Jang-Won Lee
Daesik Hong
Sooyong Choi
Year: 2013
Adaptive Queue Management Scheme for Body Area Network with Energy Harvesting
BODYNETS
ACM
DOI: 10.4108/icst.bodynets.2013.253666

Young Rok Jang¹^,*, Yongok Kim¹, Jang-Won Lee¹, Daesik Hong¹, Sooyong Choi¹

1: Yonsei University

*Contact email: dynamics@yonsei.ac.kr

Abstract

There are two important factors for the nodes of Wireless Body Area Network (WBAN): the lasting lifetime and the low loss of significant biometric data. Therefore, the stabilities of both the data queue and the energy queue are an important point on the WBAN nodes. In this paper, Minimum Distance Adaptive Allocation (MDAA) is proposed which is an adaptive queue management scheme to maintain the stabilities of both the data queue and the energy queue. MDAA adjusts the time ratio between energy harvesting and data transmission to minimize the Euclidean distance between the next state and the ideal state. The performance of the proposed scheme is evaluated and takes positive assessments rather than that of the control group.

Keywords: rf energy harvesting queue stability wireless body area network (wban) lifetime data overflow

Published: 2013-10-30
Publisher: ICST

: http://dx.doi.org/10.4108/icst.bodynets.2013.253666