Improved-TOPSIS based handover scheme for telemedicine service using heterogeneous wireless networks

Yew, Hoe Tung; Kheau, Chung Seng; Chin, Renee Ka Yin; Chekima, Ali; Satria, Muhammad Haikal

doi:10.1109/i2cacis.2017.8239050

Cited by 12 publications

(9 citation statements)

References 13 publications

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“…This is especially relevant in cases where a home quarantine is done instead of monitoring at quarantine centers or hospitals. Another noteworthy future implementation is to equip the proposed system with a heterogeneous wireless network [28]- [30] for more robust network connectivity.…”

Section: Discussionmentioning

confidence: 99%

Internet of things based real-time coronavirus 2019 disease patient health monitoring system

Ejin

Yew

Mamat

et al. 2022

IJECE

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<span lang="EN-US">The coronavirus disease (COVID-19) outbreak has led to many infected worldwide and has become a global crisis. COVID-19 manifests in the form of shortness of breath, coughing and fever. More people are getting infected and healthcare systems worldwide are overwhelmed as healthcare workers become exhausted and infected. Thus, remote monitoring for COVID-19 patients is required. An internet of things (IoT) based real-time health monitoring system for COVID-19 patients was proposed. It features monitoring of five physiological parameters, namely electrocardiogram (ECG), heart rate (HR), respiratory rate (RR), oxygen saturation (SpO2) and body temperature. These vitals are processed by the main controller and transmitted to the cloud for storage. Healthcare professionals can read real-time patient vitals on the web-based dashboard which is equipped with an alert service. The proposed system was able to transmit and display all parameters in real-time accurately without any packet loss or transmission errors. The accuracy of body temperature readings, RR, SpO2 and HR, is up to 99.7%, 100%, 97.97% and 98.34%, respectively. Alerts were successfully sent when the parameters reached unsafe levels. With the proposed system, healthcare professionals can remotely monitor COVID-19 patients with greater ease, lessen their exposure to the pathogen, and improve patient monitoring.</span>

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Section: Discussionmentioning

confidence: 99%

Internet of things based real-time coronavirus 2019 disease patient health monitoring system

Ejin

Yew

Mamat

et al. 2022

IJECE

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“…Yew et al [17] proposed an Improved-TOPSIS (I-TOPSIS) based handover for telemedicine applications. TOPSIS approach is used because of its multi-attribute decision analysis method that simultaneously estimates both the best and worst alternatives.…”

Section: Figure 15 Mt Trajectory Within Small Cell Networkmentioning

confidence: 99%

Vertical Handover Decision Making Algorithms for 5G Heterogeneous Networks: A Review

Goh¹,

Yew²,

Wen³

et al. 2022

IJETAE

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The wireless networks have been rapidly used in our daily lives, especially mobile wireless networks. An environment consisting of several networks such as WLAN, 4G-LTE, and 5G, is known as a heterogeneous network. Wireless networks are widely used to support various data services such as live video streaming, upload data, download data and cloud service depending upon their capacity and nature. When the mobile terminal is moving, the network availability will be changed. Therefore, the mobile terminal must perform handover from one network to another network in heterogeneous networks to maintain the call and quality of service (QoS). This process is known as Vertical Handover (VHO). A seamless handover is important to provide uninterrupted high quality service while performing the handover. To achieve this, various vertical handover decision making algorithms have been proposed and studied using advanced tools and proven concepts. This paper gives an overview of current research on handover decision making in fifth generation (5G) heterogeneous wireless networks. Keywords—Vertical Handover Decision Making, Heterogeneous Networks, Quality of Service, 5G, Seamless Handover

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“…Author in [1] presented an Improved-TOPSIS based algorithm for telemedicine application. TOPSIS approach is used because of its multi-attribute decision analysis method, which simultaneously estimates both the best and worst alternatives.…”

Section: Related Workmentioning

confidence: 99%

“…A telemedicine system that relies on a single network cannot guarantee that the user always connects to the healthcare centre. A telemedicine system that can connect to heterogeneous wireless networks is required to allow the users to connect to the network anywhere [1].…”

Section: Introductionmentioning

confidence: 99%

Vertical Handover Algorithm for Telemedicine Application in 5G Heterogeneous Wireless Networks

Diong¹,

Goh²,

Chung³

et al. 2021

IJACSA

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In this fast-paced technology era, the advancement of telecommunication systems has made many advanced technologies possible. With the help of the 5G technology, more technologies will become a reality and telemedicine is one of them. Numerous studies have shown that the fatal rate of ischemic heart disease cases can be reduced by sending the realtime patient health data from an ambulance to the medical centre so that healthcare professionals can make early preparation and give immediate treatment in the golden hour. 5G technology offers a high data rate and low latency. However, the coverage of 5G is small compared to 4G. It will induce a high number of unnecessary handovers when an ambulance traverses the 5G networks at high speed and lead to degradation of services quality. Therefore, a fast and accurate vertical handover decision-making algorithm is needed to minimize unnecessary handover in high-speed scenarios. This paper proposes a handover algorithm that integrates the Travelling Time Estimation, Fuzzy Analytic Hierarchy Process (FAHP) and Technique for order of preference by similarity to ideal solution (TOPSIS) algorithms to reduce unnecessary handover in 5G heterogeneous networks. The simulation results show that the proposed algorithm has successfully reduced up to 80.3% of handovers compared to FAHP-TOPSIS based handover algorithm in the high-speed scenario. The proposed handover algorithm can improve the quality of telemedicine services in high-speed scenarios.

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Improved-TOPSIS based handover scheme for telemedicine service using heterogeneous wireless networks

Cited by 12 publications

References 13 publications

Internet of things based real-time coronavirus 2019 disease patient health monitoring system

Internet of things based real-time coronavirus 2019 disease patient health monitoring system

Vertical Handover Decision Making Algorithms for 5G Heterogeneous Networks: A Review

Vertical Handover Algorithm for Telemedicine Application in 5G Heterogeneous Wireless Networks

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