A Survey about WSN and IoT Based Health Care Applications and ADPLL Contribution for Health Care Systems

Rai, Dinesh; Marimuthu, R.

doi:10.1109/icawst.2019.8923167

Cited by 6 publications

(3 citation statements)

References 26 publications

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“…With the trend of Internet of Things, wireless sensor network has drawn intense interest in recent years. Capability of capturing fine-grained information from the physical world [1,2] enables wireless sensor networks to be widely used in applications like civil monitoring, agriculture, industrial, healthy surveillance et.al [3][4][5][6]. Efficient data delivery in wireless sensor network is limited by potential interference and limited bandwidth [7].…”

Section: Introductionmentioning

confidence: 99%

A Robust Reliable Low-power High Throughput Data Collection Wireless Sensor Network

Liu,

Jiang,

Lin

2024

Preprint

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This paper presents a robust data gathering protocol for wireless sensor network applications that require high throughput, reliability, and low-power. Insofar as high throughput is concerned, TDMA is more suitable than CSMA. Efficient TDMA protocols require solid synchronization and more optimized time slot scheduling. Reliable data collection calls for end-to-end packet retransmission. Such factors hinder the implementation of a comprehensive data collection protocol. In this paper, a heuristic TDMA scheduling algorithm is provided to achieve optimized time slot scheduling with multi-channel communication. The combination of TDMA and multi-channel communication affords to sustain high throughput and low-power communication. In addition, this paper leverages constructive interference based flooding to provide robust synchronization and efficient downward communication. Therefore, we are able to associate constructive interference based flooding with packet retransmission to implement collection reliability. The proposed protocol is implemented on self-made sensor node with Contiki operating system. Experimental results in a deployed network consisting of 29 self-made sensor nodes show that the protocol is able to maintain lasting operation and provide throughput as high as 14.74 KByte/s with 100\% data collection.

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Section: Introductionmentioning

confidence: 99%

A Robust Reliable Low-power High Throughput Data Collection Wireless Sensor Network

Liu,

Jiang,

Lin

2024

Preprint

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“…The statistical aspect of the explosive proliferation of H-IoT systems keeps on expanding. There are numerous comprehensive surveys [9,10] exploring this aspect; however, the surveys fail to address all of the significant aspects of H-IoT, resulting in important developments, technologies, and applications being overlooked, ultimately leading to inadequate comprehension of the subject matter. The omission of essential details could result in missed opportunities for understanding, decision-making, or meaningful contributions to the field.…”

Section: Introductionmentioning

confidence: 99%

Healthcare Internet of Things (H-IoT): Current Trends, Future Prospects, Applications, Challenges, and Security Issues

Kumar

Verma³

et al. 2023

Electronics

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Advancements in Healthcare Internet of Things (H-IoT) systems have created new opportunities and solutions for healthcare services, including the remote treatment and monitoring of patients. In addition, the security and privacy of personal health data must be ensured during data transfer. Security breaches in H-IoT can have serious safety and legal implications. This comprehensive review provides insights about secured data accession by employing cryptographic platforms such as H-IoT in big data, H-IoT in blockchain, H-IoT in machine learning and deep learning, H-IoT in edge computing, and H-IoT in software-defined networks. With this information, this paper reveals solutions to mitigate threats caused by different kinds of attacks. The prevailing challenges in H-IoT systems, including security and scalability challenges, real-time operating challenges, resource constraints, latency, and power consumption challenges are also addressed. We also discuss in detail the current trends in H-IoT, such as remote patient monitoring and predictive analytics. Additionally, we have explored future prospects, such as leveraging health data for informed strategic planning. A critical analysis performed by highlighting the prevailing limitations in H-IoT systems is also presented. This paper will hopefully provide future researchers with in-depth insights into the selection of appropriate cryptographic measures to adopt an energy-efficient and resource-optimized healthcare system.

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“…As a result of the rapid development of IoT, wireless sensor networks (WSNs) [1][2][3][4] are vital components of the IoT that has been applied in various domains. Unlike wired networks, WSNs are flexible to adapt to complex application scenarios, such as target detection, [5][6][7] military defense, 8,9 medical assistance, 10,11 and so forth. Sensor nodes in WSNs communicate with each other via wireless devices.…”

Section: Introductionmentioning

confidence: 99%

PSSPR: A source location privacy protection scheme based on sector phantom routing in WSNs

Chen

Sun

Yang

et al. 2021

Int J of Intelligent Sys

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A Survey about WSN and IoT Based Health Care Applications and ADPLL Contribution for Health Care Systems

Cited by 6 publications

References 26 publications

A Robust Reliable Low-power High Throughput Data Collection Wireless Sensor Network

A Robust Reliable Low-power High Throughput Data Collection Wireless Sensor Network

Healthcare Internet of Things (H-IoT): Current Trends, Future Prospects, Applications, Challenges, and Security Issues

PSSPR: A source location privacy protection scheme based on sector phantom routing in WSNs

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