Design of Cognitive Radio Network for Hospital Management System

Bharatula, Sitadevi; Meenakshi, M.

doi:10.1007/s11277-016-3280-2

Cited by 10 publications

(6 citation statements)

References 15 publications

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“…Yet, challenges like efficient frequency spectrum usage and longer gadget lifespans are thought to be the most urgent ones right now [76]. MBANs are now being used in unlicensed frequency bands, where there is a high risk of cross-interference with other electronic devices [77]. Feng, et al, colleagues (2010) investigated the effectiveness of enabling telemedicine traffic a CRN to address the aforementioned issue.…”

Section: Cognitive Radio-based Telemedicine Network Designmentioning

confidence: 99%

Maximizing network capacity, control and management in designing a telemedicine network: A review and recent challenges

Sadiq,

Zakariyya,

Buhari

et al. 2024

Nig. J. Tech.

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Telemedicine networks have seen significant changes in their capacity, monitoring, management, and control framework during the previous decades. The evolution of network capacity, control, and management for Unmanned Aerial Vehicle (UAV) & Software-Defined Networks (SDN) as support to telemedicine, artificial intelligence in telemedicine networks, and capabilities in designing a telemedicine network with respect to its performance and customization is presented in this study, with a historical history and a future view. The first section of the article goes over the history of traffic and capacity expansion, as well as future projections. By introducing a medical and image data communication protocol for telemedicine, the second section examines the technological constraints of expanding capacity in the era of UAV & softwaredefined networking. The third section discusses ways to maximize network capacity by considering quality of service (QoS) capacity issues. Finally, the article explores how to construct a telemedicine network that can provide performance, customization, and capabilities to keep up with increased traffic in the coming decades. Research gaps and future directions were presented in the last section.

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Section: Cognitive Radio-based Telemedicine Network Designmentioning

confidence: 99%

Maximizing network capacity, control and management in designing a telemedicine network: A review and recent challenges

Sadiq,

Zakariyya,

Buhari

et al. 2024

Nig. J. Tech.

View full text Add to dashboard Cite

show abstract

“…The second domain is environment management. Some studies focused on managing the data collection process of elderly people within hospitals [130,131]. Another study focused on helping physicians to improve management and reveal the issue of overcrowding [132].…”

Section: Server Based (Tier 3)mentioning

confidence: 99%

Real-Time Remote-Health Monitoring Systems: a Review on Patients Prioritisation for Multiple-Chronic Diseases, Taxonomy Analysis, Concerns and Solution Procedure

et al. 2019

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Remotely monitoring a patient's condition is a serious issue and must be addressed. Remote health monitoring systems (RHMS) in telemedicine refers to resources, strategies, methods and installations that enable doctors or other medical professionals to work remotely to consult, diagnose and treat patients. The goal of RHMS is to provide timely medical services at remote areas through telecommunication technologies. Through major advancements in technology, particularly in wireless networking, cloud computing and data storage, RHMS is becoming a feasible aspect of modern medicine. RHMS for the prioritisation of patients with multiple chronic diseases (MCDs) plays an important role in sustainably providing high-quality healthcare services. Further investigations are required to highlight the limitations of the prioritisation of patients with MCDs over a telemedicine environment. This study introduces a comprehensive and inclusive review on the prioritisation of patients with MCDs in telemedicine applications. Furthermore, it presents the challenges and open issues regarding patient prioritisation in telemedicine. The findings of this study are as follows: (1) The limitations and problems of existing patients' prioritisation with MCDs are presented and emphasised. (2) Based on the analysis of the academic literature, an accurate solution for remote prioritisation in a large scale of patients with MCDs was not presented. (3) There is an essential need to produce a new multiple-criteria decisionmaking theory to address the current problems in the prioritisation of patients with MCDs.

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“…The link layer of Bluetooth can only be in one of the above 5 states at the any time, and at least supports the advertising state or scanning state. The link layer cannot execute master device and slave unit at the same time [12,13]. The link layer which execute the master device can simultaneously execute the advertising state or scanning state or initiating state.…”

Section: The Design Of Softwarementioning

confidence: 99%

Intelligent Access Control System for Vulnerable Group Based on Bluetooth Low Energy

Hong¹,

Zhang²,

Su³

2017

Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)

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Abstract-Nowadays, intelligent application has been widely used which has an ever-increasing effect on our daily life. However, some applications are too complex to operate especially for vulnerable group. This article aims at designing an use-friendly door lock for vulnerable group when they are home. Bluetooth Low Energy (BLE) has been widely used in intelligent applications because of its stability and rapidity. This paper studies on designing an intelligent access control system for vulnerable group so that they can open the door by using an electronic key or keyboard password. The hardware and software are both optimized in this system. The experiment shows that the improved intelligent access control system can not only reduce the energy consumption and cost, but also decrease the operating difficulty. This system has a high efficiency on energy conversion efficiency and a vast prospect as well.

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Design of Cognitive Radio Network for Hospital Management System

Cited by 10 publications

References 15 publications

Maximizing network capacity, control and management in designing a telemedicine network: A review and recent challenges

Maximizing network capacity, control and management in designing a telemedicine network: A review and recent challenges

Real-Time Remote-Health Monitoring Systems: a Review on Patients Prioritisation for Multiple-Chronic Diseases, Taxonomy Analysis, Concerns and Solution Procedure

Intelligent Access Control System for Vulnerable Group Based on Bluetooth Low Energy

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