Paper Info
Title
Enhancing battery efficiency for pervasive health-monitoring systems based on electronic textiles.
Abstract
Electronic textiles are regarded as one of the most important computation platforms for future computer-assisted health-monitoring applications. In these novel systems, multiple batteries are used in order to prolong their operational lifetime, which is a significant metric for system usability. However, due to the nonlinear features of batteries, computing systems with multiple batteries cannot achieve the same battery efficiency as those powered by a monolithic battery of equal capacity. In this paper, we propose an algorithm aiming to maximize battery efficiency globally for the computer-assisted health-care systems with multiple batteries. Based on an accurate analytical battery model, the concept of weighted battery fatigue degree is introduced and the novel battery-scheduling algorithm called predicted weighted fatigue degree least first (PWFDLF) is developed. Besides, we also discuss our attempts during search PWFDLF: a weighted round-robin (WRR) and a greedy algorithm achieving highest local battery efficiency, which reduces to the sequential discharging policy. Evaluation results show that a considerable improvement in battery efficiency can be obtained by PWFDLF under various battery configurations and current profiles compared to conventional sequential and WRR discharging policies.
Year
DOI
Venue
2010
10.1109/TITB.2009.2034972
IEEE Transactions on Information Technology in Biomedicine
Keywords
DocType
Volume
weighted fatigue degree,electronic textile,multiple battery,highest local battery efficiency,enhancing battery efficiency,pervasive health-monitoring system,accurate analytical battery model,search pwfdlf,various battery configuration,greedy algorithm,weighted battery fatigue degree,battery efficiency,monolithic battery,application software,ubiquitous computing,wearable computers,greedy algorithms,predictive models,clothing,computer applications,weighted round robin algorithm,patient monitoring,usability,algorithm design and analysis,textiles,algorithms,scheduling algorithm,weighted round robin
Journal
14
Issue
ISSN
Citations 
2
1558-0032
6
PageRank 
References 
Authors
0.55
29
4
Name
Order
Citations
PageRank
Nenggan Zheng114124.83
Zhaohui Wu23121246.32
Man Lin328518.80
Laurence Tianruo Yang4304.05