Pragmatic Analysis of IoMT Network Modelling Techniques from a Statistical Perspective

Fuke, Radhika P.; Mahajan, R. P.

doi:10.1109/icears53579.2022.9751848

Cited by 2 publications

(3 citation statements)

References 30 publications

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“…IoMT network design needs constant validation because of the broad range of performance, which extends the time to market and raises implementation costs. In [18], they offered a statistical study of models for IoMT network design that aims to reduce the number of validations. The three important algorithms applied in the MEC's resource allocation management process are the DPSO, ACO, and basic PSO, according to [19,20].…”

Section: Literature Surveymentioning

confidence: 99%

Reliable Fuzzy-Based Multi-Path Routing Protocol Based on Whale Optimization Algorithm to Improve QOS in 5G Networks for IOMT Applications

Al-Mukhtar

Jaaz

Hamad

2023

Int. J. Interact. Mob. Technol.

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The Internet of Medical Things (IoMT) faces stiff competition from the 5th Generation (5G) communication standard, which includes attributes like short and long transmission ranges, Device to Device (D2D) connectivity, low latency, and high node density. To function in the linked ecosystem, IoMT based on 5G is anticipated to have a diversity of energy and mobility. It is currently difficult to create an IoMT routing system based on 5G that maximizes energy efficiency, lowers transmission latency, and increases network lifespan. The "Quality of Services (QoS)" in 5G-based IoMT is improved by the Reliable Fuzzy-based Multi-path routing system shown in this study. The Whale Optimization Algorithm (WOA) enhances the routing protocol performance. The residual energy-based Cluster Head (CH) selection strategy rotates the CH location among nodes with greater energy levels than the others. The method chooses the following set of CHs for the network that is suitable for IoMT applications by considering initial energy, residual energy, and an ideal value of CHs. According to the simulation results, our suggested routing technique enhances QoS in comparison to current approaches.

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Section: Literature Surveymentioning

confidence: 99%

Reliable Fuzzy-Based Multi-Path Routing Protocol Based on Whale Optimization Algorithm to Improve QOS in 5G Networks for IOMT Applications

Al-Mukhtar

Jaaz

Hamad

2023

Int. J. Interact. Mob. Technol.

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“…Researchers applied the cryptography techniques of symmetric and asymmetric algorithms to define different authentication keys, encryption, and decryption information to support the security of transferring data between the IoMT nodes and layers [9][10][11][12][13]. By providing trust-based services, the studies tried to solve the security and privacy problems via defining a hard limitation to provide or dedicate a server to a requester when correctness has a highlighter role than availability [14,15]. The trust-based approaches lead to the high limitations of providing a service.…”

Section: Introductionmentioning

confidence: 99%

“…Sustainability 2022, 14, x FOR PEER REVIEW 13 of 31 15. ServiceSecurity assesses the application security based on the number of correct services received (CorrectServicet) and the total number of services (TotalServicet) at t time.…”

mentioning

confidence: 99%

Flexible-Clustering Based on Application Priority to Improve IoMT Efficiency and Dependability

Rahmani

Mirmahaleh

2022

Sustainability

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The Internet of Medical Things (IoMT) has overcome the privacy challenges of E-healthcare-based Internet of Things (IoT) systems to protect the joined people’s private records to IoMT infrastructures and support their information security in different layers. By deploying various medical applications, security and privacy are challenging for the IoMT via rising communications between its layers and nodes. Some case studies aimed to solve the issues and provided various methods and protocols to identify the malicious data and information, which had almost overlooked application and service priority to targeting the research and satisfying security. We addressed the dependability and privacy problems of IoMT-based applications by presenting an intelligent algorithm for node mapping and flexible clustering (NFC) via defining a graph and employing a neural network (NN). This work proposes a flexible clustering method to categorize the healthcare service providers for timely detecting faults and identifying the proper servers to join the cluster by considering service and application priority. We improve the application dependability and privacy by about 77.3–83.2% via pruning the defective nodes and employing the neighbor components to support faulty devices’ role. By removing the failed or faulty nodes, the study reduces communication delay and energy consumption, approximately 19.3–21.7% and 10.3–11.8%, respectively.

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Pragmatic Analysis of IoMT Network Modelling Techniques from a Statistical Perspective

Cited by 2 publications

References 30 publications

Reliable Fuzzy-Based Multi-Path Routing Protocol Based on Whale Optimization Algorithm to Improve QOS in 5G Networks for IOMT Applications

Reliable Fuzzy-Based Multi-Path Routing Protocol Based on Whale Optimization Algorithm to Improve QOS in 5G Networks for IOMT Applications

Flexible-Clustering Based on Application Priority to Improve IoMT Efficiency and Dependability

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