Paper Info
Title
Toward Improving QoS and Energy Efficiency in Wireless Body Area Networks
Abstract
The performance of wireless body area networks (WBANs) depends mainly on the quality of service (QoS) and energy efficiency. First, the network environment of a WBAN changes rapidly due to changes in human body movements, which leads to unguaranteed service quality, delivery probability, and delay. Second, energy is limited due to the small size of the sensors. To solve these problems, in this article, we first propose an optimization method for the sampling start time of sensor nodes. We comprehensively consider sampling rate, sampling time, transmission rate and other factors and set the appropriate sampling start time for the nodes through quantitative analysis of the relationship between these factors, which greatly reduces the waiting time delay of the nodes. Furthermore, an optimization method for the data frame length is proposed, where the relationship between the optimal data frame length and the average delivery probability is given quantitatively by considering the channel model. The experimental results show that the proposed scheme, relative to the compared schemes, achieves substantial improvements in QoS and energy efficiency and has more obvious advantages when the channel conditions of the nodes are worse.
Year
DOI
Venue
2021
10.1109/JSYST.2020.2999670
IEEE Systems Journal
Keywords
DocType
Volume
Data frame length,energy efficient,quality of service (QoS),sampling start time,wireless body area networks (WBAN)
Journal
15
Issue
ISSN
Citations 
1
1932-8184
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Gang Sun146336.98
Long Luo200.34
Kai Wang31734195.03
Hongfang Yu467962.42