A three-dimensional network coverage optimization algorithm in healthcare system

2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom) Pub Date : 2014-10-01 DOI:10.1109/HealthCom.2014.7001862

Xiaoshuang Liu, Guixia Kang, Ningbo Zhang, Bingning Zhu, Congcong Li, Yi Chai, Yuncheng Liu

{"title":"A three-dimensional network coverage optimization algorithm in healthcare system","authors":"Xiaoshuang Liu, Guixia Kang, Ningbo Zhang, Bingning Zhu, Congcong Li, Yi Chai, Yuncheng Liu","doi":"10.1109/HealthCom.2014.7001862","DOIUrl":null,"url":null,"abstract":"This paper presents a healthcare monitoring architecture coupled with a wireless sensor network and wearable sensor systems which monitor chronic patients in nursing house or the elderly in their home. With this architecture, we investigate how sensor nodes are deployed in the three-dimension (3D) monitoring region to achieve uniform distribution, which directly determines the Quality of Service (QoS). Based on the existing two-dimension (2D) coverage-enhancing algorithms for wireless sensor networks, a 3D sensing model and a coverage optimization algorithm are proposed in this paper. Firstly, an intelligent optimization algorithm is utilized to adjust the position of sensor nodes. Then, we pick out the redundant nodes with the set coverage algorithm, and move them into the uncovered area to increase the coverage ratio. The simulation results show that the coverage ratio increased by the coverage optimization algorithm compared with the other coverage algorithms.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HealthCom.2014.7001862","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 7

Abstract

This paper presents a healthcare monitoring architecture coupled with a wireless sensor network and wearable sensor systems which monitor chronic patients in nursing house or the elderly in their home. With this architecture, we investigate how sensor nodes are deployed in the three-dimension (3D) monitoring region to achieve uniform distribution, which directly determines the Quality of Service (QoS). Based on the existing two-dimension (2D) coverage-enhancing algorithms for wireless sensor networks, a 3D sensing model and a coverage optimization algorithm are proposed in this paper. Firstly, an intelligent optimization algorithm is utilized to adjust the position of sensor nodes. Then, we pick out the redundant nodes with the set coverage algorithm, and move them into the uncovered area to increase the coverage ratio. The simulation results show that the coverage ratio increased by the coverage optimization algorithm compared with the other coverage algorithms.

查看原文本刊更多论文

医疗卫生系统三维网络覆盖优化算法

本文提出了一种结合无线传感器网络和可穿戴传感器系统的医疗监测架构，用于监测养老院的慢性患者或家中的老年人。利用这种架构，我们研究了传感器节点如何部署在三维(3D)监控区域以实现均匀分布，这直接决定了服务质量(QoS)。在现有无线传感器网络二维覆盖增强算法的基础上，提出了一种无线传感器网络三维感知模型和覆盖优化算法。首先，利用智能优化算法调整传感器节点的位置;然后，我们用集合覆盖算法挑选出冗余节点，并将其移动到未覆盖区域，以提高覆盖率。仿真结果表明，与其他覆盖算法相比，覆盖优化算法的覆盖率有所提高。

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分钟内获得全文求助全文

来源期刊

2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)

自引率

0.00%

发文量