IoT‐Based UAV Platform Revolutionized in Smart Healthcare

Gera, Umesh Kumar; Saini, Dilip Kumar Jang Bahadur; Singh, Preeti; Siddharth, Dhirendra

doi:10.1002/9781119769170.ch15

Cited by 6 publications

(3 citation statements)

References 26 publications

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“…Recently, the literature has witnessed interoperability improvement in UAV using ontology [145,146]. Authors in [147] exploited SSN ontology to describe data generated by robots.…”

Section: Ontology For Unmanned Aerial Vehiclesmentioning

confidence: 99%

Applications of Ontology in the Internet of Things: A Systematic Analysis

et al. 2022

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Ontology has been increasingly implemented to facilitate the Internet of Things (IoT) activities, such as tracking and information discovery, storage, information exchange, and object addressing. However, a complete understanding of using ontology in the IoT mechanism remains lacking. The main goal of this research is to recognize the use of ontology in the IoT process and investigate the services of ontology in IoT activities. A systematic literature review (SLR) is conducted using predefined protocols to analyze the literature about the usage of ontologies in IoT. The following conclusions are obtained from the SLR. (1) Primary studies (i.e., selected 115 articles) have addressed the need to use ontologies in IoT for industries and the academe, especially to minimize interoperability and integration of IoT devices. (2) About 31.30% of extant literature discussed ontology development concerning the IoT interoperability issue, while IoT privacy and integration issues are partially discussed in the literature. (3) IoT styles of modeling ontologies are diverse, whereas 35.65% of total studies adopted the OWL style. (4) The 32 articles (i.e., 27.83% of the total studies) reused IoT ontologies to handle diverse IoT methodologies. (5) A total of 45 IoT ontologies are well acknowledged, but the IoT community has widely utilized none. An in-depth analysis of different IoT ontologies suggests that the existing ontologies are beneficial in designing new IoT ontology or achieving three main requirements of the IoT field: interoperability, integration, and privacy. This SLR is finalized by identifying numerous validity threats and future directions.

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“…Recently, the literature has witnessed interoperability improvement in UAV using ontology [145,146]. Authors in [147] exploited SSN ontology to describe data generated by robots.…”

Section: Ontology For Unmanned Aerial Vehiclesmentioning

confidence: 99%

Applications of Ontology in the Internet of Things: A Systematic Analysis

et al. 2022

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“…The result section compared the performance proposed to the existing routing protocols and the proposed anthoc routing protocol achieves high throughput and lesser delay. Gera et al (2021) present the IoT-based UAV platform for smart healthcare applications. This plays a major role in biomedical applications and it helps the patient in the fastest manner with the flying ad hoc networks.…”

Section: Related Workmentioning

confidence: 99%

“…Gera et al (2021) present the IoT-based UAV platform for smart healthcare applications. This plays a major role in biomedical applications and it helps the patient in the fastest manner with the flying ad hoc networks.…”

Section: Related Workmentioning

confidence: 99%

Optimal design of artificial bee colony based UAV routing (ABCUR) algorithm for healthcare applications

Ananthi

Jose

2022

IJIUS

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PurposeTo avoid this situation, the authors proposed an optimal artificial bee colony algorithm-based Unmanned Aerial Vehicle (UAV) routing algorithm for efficient data communication between doctors and patients. This proposed method worked in three stages.Design/methodology/approachIn recent decades, wireless body area networks have played an important role in health care applications. It facilitates the transmission of the patients' health data analysis report to the appropriate doctors.FindingsIn the first phase, biological sensors are connected to the human body via a controller node and collected data is transmitted via Bluetooth to the Personal Device Assistant (PDA). In the second phase, collected data will be transmitted via the Internet of things using an artificial bee colony algorithm. The second aids in determining the best route. In the third phase, unmanned aerial vehicles will use the best path to send collected data to doctors, caregivers, ambulances and cloud storage servers.Originality/valueThe simulation results show that the network's performance is superior when compared to existing approaches. The proposed algorithm achieves a high throughput, a lower delay, a higher link rate and a higher delivery rate.

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