![]() One of the most prominent services was Localization where several algorithms have been utilized for different localization issues and based on different measurement methods. The Internet of Things (IoT) has been known to have several applications which have a significant and direct effect on our everyday life as an emerging services such as tracking, monitoring and positioning services. Experimental results show that localization error was less than 2.5 m, about 80% of the time, which can satisfy the outpatients’ requirements for wayfinding. All possible positions in which the target may appear have been comprehensively investigated, and the corresponding solutions were proven to be the same. ![]() The target position can be determined by a mobile device, like a smartphone, through an efficient geometric calculation with two known APs coordinates and the angles of the incident radios. In this paper, we investigated the AoA-based wireless indoor localization for outpatients’ wayfinding in a hospital, where Wi-Fi access points (APs) are deployed, in line, on the ceiling. Many different schemes are being developed to meet the increasing demand for indoor localization services. Unlike wireless outdoor localization that is dominated by the global positioning system (GPS), wireless indoor localization is still an open issue. The motivation of this work is to help outpatients find their corresponding departments or clinics, thus, it needs to provide indoor positioning services with a room-level accuracy. This paper describes a platform that conceals continuous monitoring with energy-efficient applications in favor of e-health control of wandering patients. Through the platform functionality, caregivers (and patients) can receive notifications and suggestions in response to emergency, contingency situations, or deviations from health and mobility patterns of the wandering patients. In turn, the web service provides e-health control services for patients and caregivers. Due to battery limitations of smart devices with sensors, the mobile application includes energy-efficient handling and transmission policies to make more efficient the transmission of medical information from the sensor-based smart device to the web service. The platform includes a configurable mobile application for heart rate and stress level monitoring based on Bluetooth Low Energy technology (BLE), and a web service for monitoring and control of the wandering patients. This paper presents the design and implementation of a platform aimed at providing support in e-health control and provision of location services for wandering patients through real-time medical and mobility information analysis. However, sensor-based applications are highly energy demanding and as such, they can be unaffordable in mobile e-health control due to battery constraints. These applications have been widely accepted, due to the availability of smart devices that include sensors. Mobile applications that focus on health care have received special interest from medical specialists. ![]() These could be jeopardized by their wandering behavior. Wandering patients frequently have diseases that demand continuous health control, such as taking pills at specific times, constant blood pressure and heart rate monitoring, temperature and stress level checkups, and so on.
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