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A novel IoT-based health and tactical analysis model with fog computing
PeerJ Computer Science ( IF 3.5 ) Pub Date : 2021-02-03 , DOI: 10.7717/peerj-cs.342
Aykut Karakaya 1 , Sedat Akleylek 2
Affiliation  

In sports competitions, depending on the conditions such as excitement, stress, fatigue, etc. during the match, negative situations such as disability or loss of life may occur for players and spectators. Therefore, it is extremely important to constantly check their health. In addition, some strategic analyzes are made during the match. According to the results of these analyzes, the technical team affects the course of the match. Effects can have positive and sometimes negative results. In this article, fog computing and an Internet of Things (IoT) based architecture are proposed to produce new technical strategies and to avoid disabilities. Players and spectators are monitored with sensors such as blood pressure, body temperature, heart rate, location etc. The data obtained from the sensors are processed in the fog layer and the resulting information is sent to the devices of the technical team and club doctors. In the architecture based on fog computing and IoT, priority processes are computed with low latency. For this, a task management algorithm based on priority queue and list of fog nodes is modified in the fog layer. Authentication and data confidentiality are provided with the Federated Lightweight Authentication of Things (FLAT) method used in the proposed model. In addition, using the Software Defined Network controller based on blockchain technology ensures data integrity.

中文翻译:

基于雾的新型基于物联网的健康和战术分析模型

在体育比赛中,视比赛期间的刺激,压力,疲劳等情况而定,运动员和观众可能会遇到诸如残疾或丧失生命之类的负面情况。因此,不断检查其健康状况非常重要。此外,比赛期间还会进行一些战略分析。根据这些分析的结果,技术团​​队会影响比赛的进程。效果可能会带来积极的结果,有时还会带来消极的结果。在本文中,提出了雾计算和基于物联网(IoT)的体系结构以产生新的技术策略并避免残障。通过诸如血压,体温,心率,位置等传感器监控运动员和观众。从传感器获得的数据将在雾层中进行处理,并将所得信息发送到技术团队和俱乐部医生的设备。在基于雾计算和物联网的架构中,优先级流程的计算延迟低。为此,在雾层中修改了基于优先级队列和雾节点列表的任务管理算法。身份验证和数据机密性通过提议的模型中使用的联合轻量级身份验证(FLAT)方法提供。此外,使用基于区块链技术的软件定义网络控制器可确保数据完整性。在雾层中修改了基于优先级队列和雾节点列表的任务管理算法。身份验证和数据机密性通过提议的模型中使用的联合轻量级身份验证(FLAT)方法提供。此外,使用基于区块链技术的软件定义网络控制器可确保数据完整性。在雾层中修改了基于优先级队列和雾节点列表的任务管理算法。身份验证和数据机密性通过提议的模型中使用的联合轻量级身份验证(FLAT)方法提供。此外,使用基于区块链技术的软件定义网络控制器可确保数据完整性。
更新日期:2021-02-03
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