An Efficient Collision Avoidance Scheme for Healthcare Application

P. Dash, M. Panda
{"title":"An Efficient Collision Avoidance Scheme for Healthcare Application","authors":"P. Dash, M. Panda","doi":"10.1109/ICICCSP53532.2022.9862491","DOIUrl":null,"url":null,"abstract":"Wireless Sensor Network (WSN) has been widely recognized as one of the most important technology for low power wireless communication and also used in variety of applications like medical, military, industrial, agricultural and environmental monitoring. Here, our approach resolve the issues like collision in healthcare application. In healthcare applications of WSN, normally, the generated information's like emergency, cardiac attack, accident etc. which are coming from Patient Body Sensor (PBS) and processed by the sink as soon as possible. It is very much essential to avoid congestion and provide immediate solution without delay. As sensor nodes are battery operated so in all routing protocols designed for WSN, energy should be one targeted parameter. Hence, our proposal is designed not only collect the information centrally but also manage using active queue management (AQM) technique. This technique focuses on queue assisted congestion control type and avoids congestion in the routing phase using multipath and also manages the queue in each node when packet reaches by packet loss probability.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICCSP53532.2022.9862491","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Wireless Sensor Network (WSN) has been widely recognized as one of the most important technology for low power wireless communication and also used in variety of applications like medical, military, industrial, agricultural and environmental monitoring. Here, our approach resolve the issues like collision in healthcare application. In healthcare applications of WSN, normally, the generated information's like emergency, cardiac attack, accident etc. which are coming from Patient Body Sensor (PBS) and processed by the sink as soon as possible. It is very much essential to avoid congestion and provide immediate solution without delay. As sensor nodes are battery operated so in all routing protocols designed for WSN, energy should be one targeted parameter. Hence, our proposal is designed not only collect the information centrally but also manage using active queue management (AQM) technique. This technique focuses on queue assisted congestion control type and avoids congestion in the routing phase using multipath and also manages the queue in each node when packet reaches by packet loss probability.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
医疗保健应用的有效避碰方案
无线传感器网络(WSN)已被广泛认为是低功耗无线通信的重要技术之一,并广泛应用于医疗、军事、工业、农业和环境监测等领域。在这里,我们的方法解决了医疗保健应用程序中的碰撞等问题。在无线传感器网络的医疗保健应用中,通常产生的信息如紧急情况、心脏病发作、事故等,这些信息都是来自病人身体传感器(PBS),并在第一时间经过sink处理。避免拥堵,及时提供解决方案是非常重要的。由于传感器节点是电池供电的,所以在为WSN设计的所有路由协议中,能量都应该是一个目标参数。因此,我们的建议不仅集中收集信息,而且还使用活动队列管理(AQM)技术进行管理。该技术侧重于队列辅助拥塞控制类型,利用多路径避免路由阶段的拥塞,并在数据包到达时根据丢包概率对每个节点的队列进行管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Impact on Electrical Distribution Networks with The Integration of Shunt Capacitor Model Using Exhaustive Search Based Load Flow Algorithm A Smart Solar Charge Controller Based on IOT Technology with Hardware Implementation Message from the Chairman, Sree Group Material Properties and Tool selection for Friction Stir Welding: A Review Adversarial Attacks against Machine Learning Classifiers: A Study of Sentiment Classification in Twitter
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1