Applications of Wireless Sensor Networks in Healthcare

Kashyap, Ramgopal

doi:10.4018/978-1-5225-9004-0.ch002

Cited by 38 publications

(15 citation statements)

References 30 publications

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“…Therefore, it is assumed that the use of telemedicine applications will be constructive for both patients and physicians. Although literature revealed plethora of research in e-health domain, Mayoka et al (2012), Barlow et al (2007), Alaboudi et al (2016), Kashyap (2020), Hsu (2019), adoption of telemedicine applications during pandemic is yet to be studied (Zobair et al , 2019).…”

Section: Introductionmentioning

confidence: 99%

Assessing individual behavior towards adoption of telemedicine application during COVID-19 pandemic: evidence from emerging market

Rahi

2021

LHT

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PurposeThis study attempts to gain insight into what factors influence individual behavior towards the adoption of telemedicine application during coronavirus disease 2019 (COVID-19) pandemic. The research model incorporates two well-known theories namely the extended unified theory of acceptance and use of technology (UTAUT2) and DeLone and McLean information success model to examine individual behavior towards the adoption of telemedicine application.Design/methodology/approachThe research design of this study is based on quantitative research approach. During research survey, 350 valid responses were received from Pakistani citizens and examined to understand citizen's behavior towards the adoption of telemedicine applications. The research model was empirically tested with the latest statistical approach namely variance-based structural equation modeling (VB-SEM).FindingsThe results of the structural equation modeling have revealed that altogether performance expectancy, social influence, effort expectancy, facilitating condition, habit, hedonic motivation, price values, information quality, system quality and service quality explained 77.9% variance in determining user behavior towards adoption of telemedicine application. The predictive relevance of the research model was found substantial in measuring user behavior to adopt telemedicine applications. The research framework is further extended with moderating role of perceived severity between the relationship of user intention and actual usage behavior. Results confirmed that the positive relationship between intention to adopt telemedicine health application and usage behavior will be stronger when perceived severity is higher.Practical implicationsTheoretically, this study integrates extended UTAUT2 and DeLone and McLean information success model and contributes to e-health literature. Practically, this research suggests that by improving user performance expectancy and effort expectancy, managers and healthcare professionals can boost user confidence towards the adoption of telemedicine applications.Originality/valueThis study is unique as it integrates the extended UTAUT2 with DeLone and McLean information success model and perceived severity to investigate user behavior towards adoption of telemedicine application during COVID-19 pandemic. Additionally, the integration of theories contributes to information system literature in the context of the adoption of telemedicine applications.

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Section: Introductionmentioning

confidence: 99%

Assessing individual behavior towards adoption of telemedicine application during COVID-19 pandemic: evidence from emerging market

Rahi

2021

LHT

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“…It can be very helpful in making people's life easy and smooth. The Application mechanism of WSNs utilization is to install WSNs nodes at various locations at home and get control of various devices [4].…”

Section: B Domestic Usesmentioning

confidence: 99%

A Revolution in Health Sector using Wireless Body Area Networks

Hussain¹,

Ashraf²

2020

IJEW

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Our world has been changed a lot over the past few years. Only a few decades back and you will see that communication among people was not an easy task at all. Thanks to the advancement in technologies especially the networking techniques that have made the lives of the people so comfortable. Now due to these computer networks, communication with your family, friends, and colleagues is so easy all across the globe. This communication is not only limited to the entertainment or information anymore. Wireless Body Area Networks has made it possible for the doctors to keep in touch with their patients and check their health conditions while staying miles away from them physically. This application of Computer Networks is impacting so many lives in the world in a very positive way. This technology is helping people in getting better health services without taking the time to go to their doctor or changing their daily routine. This application has so many benefits but at the same time it is also facing challenges and secure transfer of the data is one of the challenges and researchers are working to make sure to keep data of the patients secure.

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“…This eliminates the need for time-consuming tasks like address creation, routing, and topology maintenance, and VANET data transport is hampered by broadcast storms, network splits, and capacity limits. With all these constraints, efficient and effective data distribution becomes a challenging and impressive task [7,8]. Most automakers are working on effective data delivery through VANETs.…”

Section: Introductionmentioning

confidence: 99%

Simulation of IoT-based Vehicular Ad Hoc Networks (VANETs) for Smart Traffic Management Systems

Rizwan

Karras

Dighriri

et al. 2022

Wireless Communications and Mobile Computing

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Nowadays, traffic congestion and increasing road accidents have become a major concern for both developed and developing countries. To overcome this challenge, an internet of things- (IoT-) based Vehicular Ad Hoc Network (VANET) system is proposed in which vehicles interact with other vehicles and infrastructure. These self-organized ad hoc vehicle networks not only boost traffic safety but also enhances the efficiency of traffic management systems. The VANET systems are beneficial in busy locations, where improved data dissemination protocols are used to categorize a vehicle’s transmission. However, the performance of these VANETs is also hampered by network splits and insufficient connections. Under these situations, the proposed simulation model reduces broadcast storms by minimizing redundancies, which is equally beneficial for both rural and urban settings. The suggested Next Forwarder Vehicle (NFV) protocol is based on three factors: position, distance, and orientation. Moreover, the DDP4V technique is used to analyse each of these features. Results indicate that DDP4V is compatible with 96% of all traffic scenarios and simulation durations. It can transport data packets 60% faster due to its broadcast suppression capabilities. Also, in comparison to AID and DBRS, DDP4V has fewer dispersed packets, which results into reduced retransmissions. For 200 automobiles/km2, all these techniques accomplish 35–40% of the needed cars. However, the coverage also faces some restrictions since data packets only reach vehicles on the same side as the originating vehicle. Similarly, DDP4V delivers 90% coverage for 400 vehicles/km2, which is 30% greater than prior techniques. It is observed that the proposed protocol reduces broadcast storms by employing a waggon wheel to choose the next forwarding vehicle. In high-traffic areas, it outperforms standard techniques. Similarly, it employs a patchwork of vehicles outside of the impacted region to convey data. The industrial IoT-based VANETs provide an effective tool to monitor and control traffic besides reducing the number of traffic accidents.

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Applications of Wireless Sensor Networks in Healthcare

Cited by 38 publications

References 30 publications

Assessing individual behavior towards adoption of telemedicine application during COVID-19 pandemic: evidence from emerging market

Assessing individual behavior towards adoption of telemedicine application during COVID-19 pandemic: evidence from emerging market

A Revolution in Health Sector using Wireless Body Area Networks

Simulation of IoT-based Vehicular Ad Hoc Networks (VANETs) for Smart Traffic Management Systems

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