Internet of Things: Underwater routing based on user’s health status for smart diving

Sarah E. Shukri, Rizik Al-Sayyed, Hamed Al-Bdour, Esraa Alhenawi, Tamara Almarabeh, Hiba Mohammad
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引用次数: 1

Abstract

Technological advancements affect everyday life; they benefited our daily routines, habits, and activities. Underwater diving is one of the most interesting and attractive activities for tourists worldwide but could be risky and challenging. When paths are not clear, diving might take additional time and effort leading to some health problems. Thus, providing divers with proper direction information to surf underwater can be useful and helpful. Also, monitoring diverse health statuses and alerting them in case of any undesirable condition can increase their safety. Smart devices such as mobiles, watches, sensor devices, cellular networks along with the Internet of Things (IoT) can all provide location-based services. Such services can help in providing the best path for the divers and monitor their health status during diving. This paper proposes a new underwater routing approach, called Underwater Routing for Smart Diving “URSD”, which provides divers with routing information to visit underwater cultural or natural resources and monitors their health status during the diving period. The URSD approach was simulated and compared with the shortest path. Results showed that the URSD helped divers to route within paths that have a larger number of nodes, furthermore, it could enhance and improve divers experience and help them mitigate underwater risks.
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物联网:基于用户健康状态的水下路由,实现智能潜水
科技进步影响日常生活;它们有益于我们的日常生活、习惯和活动。对世界各地的游客来说,水下潜水是最有趣、最具吸引力的活动之一,但也可能存在风险和挑战。当路径不清晰时,潜水可能会花费额外的时间和精力,导致一些健康问题。因此,为潜水员提供正确的水下冲浪方向信息是有用的。此外,监测各种健康状况并在出现任何不良状况时发出警报可以提高他们的安全性。智能设备,如手机、手表、传感器设备、蜂窝网络以及物联网(IoT)都可以提供基于位置的服务。这些服务可以帮助为潜水员提供最佳的路径,并在潜水期间监测他们的健康状况。本文提出了一种新的水下路由方法,称为智能潜水水下路由(URSD),该方法为潜水者提供访问水下文化或自然资源的路由信息,并在潜水期间监测其健康状况。对URSD方法进行了仿真,并与最短路径方法进行了比较。结果表明,URSD可以帮助潜水员在具有更多节点的路径中行走,并且可以增强和改善潜水员的体验,帮助他们减轻水下风险。
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来源期刊
CiteScore
5.80
自引率
0.00%
发文量
163
审稿时长
8 weeks
期刊最新文献
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