Wireless Communications and Mobile Computing

Energy Efficiency and Secure 5G-oriented Network Solutions for Personalised Healthcare Systems


Publishing date
01 Jul 2021
Status
Closed
Submission deadline
12 Mar 2021

1Vellore Institute of Technology, Vellore, India

2Macau University of Science and Technology, Macau, Macau

3University of Missouri, Saint Louis, USA

This issue is now closed for submissions.
More articles will be published in the near future.

Energy Efficiency and Secure 5G-oriented Network Solutions for Personalised Healthcare Systems

This issue is now closed for submissions.
More articles will be published in the near future.

Description

Rapid technological revolution has entirely changed the shape of the current world. The Internet of Medical Things (IoMT) plays a vital role in improving personalised health care systems. The Internet of Medical Things (IoMT) builds an ecosystem of integrated sensors, wearable devices, and medical systems capable of improving the quality of healthcare with reduced cost and timely delivery of responses.

Massive amounts of data with high processing power and fewer resource requirements are required, and this creates a number of challenges in developing the IoMT. As the amount of data handled by IoMT devices grows exponentially, this means higher exposure of sensitive data. Therefore, managing security and preventing intruders is one of the key challenges for efficient, authorised, and authenticated communication between Internet of Things (IoT) devices. The deployment of IoT wearable devices in a medical context, with the support of digital technologies, i.e., 5G, is creating a significant impact in the medical industry. The IoMT requires high speed and energy efficient battery life alongside reliable connectivity, and this can be provided mostly by state-of-the-art 5G technologies, as their advanced capabilities and support enable effective and economical treatment. Therefore, energy-efficient and secure 5G-oriented networks for smart healthcare applications must be widely adopted to enable the IoMT to facilitate the medical healthcare platform.

The aim of this Special Issue is to attract papers from both academia and industry with original research on new trends and solutions in the development of 5G-enabled energy efficient and secure applications for IoMT. We welcome submissions describing energy efficiency and security features in IoT devices, and models of the importance of IoMT services in personalised healthcare systems. Original research and review articles are both welcome.

Potential topics include but are not limited to the following:

  • Energy efficiency and security in 5G applications of IoMT
  • Secure and energy-efficient protocols for smarter healthcare
  • Privacy preservation techniques for medical data in 5G networks
  • Security and access controls in IoT wearable devices with 5G
  • Blockchain for healthcare security in IoMT
  • Resilience models for advanced threats in IoMT
  • Low-power communication frameworks in 5G and sensor networks for IoMT
  • Key management and privacy-enhancing cryptographic techniques in IoMT
  • Hybrid energy efficient intelligent models using artificial intelligence in IoMT
  • Energy efficient meta-heuristic algorithms for IoT and wearable computing
  • Nature-inspired smart energy-efficient hybrid systems for IoMT context-aware systems
  • Energy efficient hybrid IoMT systems for ambient living

Articles

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A Novel Security Authentication Protocol Based on Physical Unclonable Function for RFID Healthcare Systems

He Xu | Xin Chen | ... | Peng Li
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An Improved Algorithm to Enhance the Performance of FAST TCP Congestion Control for Personalized Healthcare Systems

Jiyang Ye | Bowen Huang | Xiaolong Chen
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  • - Article ID 6696205
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Named Entity Recognition of Traditional Chinese Medicine Patents Based on BiLSTM-CRF

Na Deng | Hao Fu | Xu Chen
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  • - Volume 2021
  • - Article ID 9932091
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A Study on Smart Healthcare Monitoring Using IoT Based on Blockchain

SoonHyeong Jeong | Jun-Hong Shen | Byeongtae Ahn
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  • - Article ID 5556635
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A Lightweight Deep Learning-Based Pneumonia Detection Approach for Energy-Efficient Medical Systems

Bandar Almaslukh
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  • - Volume 2021
  • - Article ID 8886763
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Improved Lightweight Cloud Storage Auditing Protocol for Shared Medical Data

Haibin Yang | Zhengge Yi | ... | Xiaoyuan Yang
  • Special Issue
  • - Volume 2020
  • - Article ID 8811962
  • - Research Article

An Efficient ECG Denoising Method Based on Empirical Mode Decomposition, Sample Entropy, and Improved Threshold Function

Dengyong Zhang | Shanshan Wang | ... | Rongrong Gong
Wireless Communications and Mobile Computing
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Acceptance rate33%
Submission to final decision81 days
Acceptance to publication37 days
CiteScore4.300
Impact Factor2.336
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