QoS in Body Area Networks

Author:

Razzaque M. A.1,Hira Muta Tah2,Dira Mukta3

Affiliation:

1. Trinity College Dublin & Biomedical Research Foundation, Bangladesh

2. University Technology Malaysia, Skudai, Johor Bahru, Malaysia

3. Community Based Medical College Bangladesh, Mymensingh, Bangladesh

Abstract

Body Area Networks (BANs) are becoming increasingly popular and have shown great potential in real-time monitoring of the human body. With the promise of being cost-effective and unobtrusive and facilitating continuous monitoring, BANs have attracted a wide range of monitoring applications, including medical and healthcare, sports, and rehabilitation systems. Most of these applications are real time and life critical and require a strict guarantee of Quality of Service (QoS) in terms of timeliness, reliability, and so on. Recently, there has been a number of proposals describing diverse approaches or frameworks to achieve QoS in BANs (i.e., for different layers or tiers and different protocols). This survey put these individual efforts into perspective and presents a more holistic view of the area. In this regard, this article identifies a set of QoS requirements for BAN applications and shows how these requirements are linked in a three-tier BAN system and presents a comprehensive review of the existing proposals against those requirements. In addition, open research issues, challenges, and future research directions in achieving these QoS in BANs are highlighted.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications

Reference246 articles.

1. 2014. BSN node v3. Retrieved from http://ubimon.doc.ic.ac.uk/bsn/a1875.html. 2014. BSN node v3. Retrieved from http://ubimon.doc.ic.ac.uk/bsn/a1875.html.

2. A cross-layer QoS-aware optimization protocol for guaranteed data streaming over wireless body area networks

3. A Survey on Ambient Intelligence in Healthcare

Cited by 21 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3