Impacting of the E- Platforms on the 4.0th Industrial Educational Revolution

Ali, Ahmed H.; Mohammad, Omer K. Jasim

doi:10.1145/3361570.3361608

Cited by 9 publications

(7 citation statements)

References 1 publication

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“…These have all been identified as barriers to the effective use of this technology in many places around the world. This is especially the case in peripheral and less developed countries 18 .…”

Section: Evolution Of the 'Idea' Of The Universitymentioning

confidence: 96%

2. Understanding the contributions of universities to regional development

Kempton¹,

Rego²,

Alves³

et al. 2021

Regional Studies Policy Impact Books

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Section: Evolution Of the 'Idea' Of The Universitymentioning

confidence: 96%

2. Understanding the contributions of universities to regional development

Kempton¹,

Rego²,

Alves³

et al. 2021

Regional Studies Policy Impact Books

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“…Proposals offer different ways to start links. They bring the best possible connected groups from general layouts, giving various spends of time and high quality [25][26].…”

Section: Multi-transmit-receive (Mtr) Networkmentioning

confidence: 99%

“…Additionally, heuristic algorithms tailored for multiple input multiple output (MIMO) or full-duplex models have been introduced to reduce superframe length. Considering this scenario, utilizing algorithms such as ABC and/or GA is proposed to solve scheduling problems in WMNs within the FD model, as no existing works have explored link scheduling for this specific FD model in WMNs [27][28][29][30][31][32].…”

Section: Full-duplex Networkmentioning

confidence: 99%

Sustainable optimizing WMN performance through meta-heuristic TDMA link scheduling and routing

Sekhar,

Abdulshaheed,

Penubadi

et al. 2024

Heritage and Sustainable Development

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Wireless mesh networks (WMNs) have become a popular solution for expanding internet service and communication in both urban and rural areas. However, the performance of WMNs depends on generating optimized time-division multiple access (TDMA) schedules, which distribute time into a list of slots called superframes. This study proposes novel meta-heuristic algorithms to generate TDMA link schedules in WMNs using two different interference/constraint models: multi-transmit-receive (MTR) and full-duplex (FD). The objectives of this study are to optimize the TDMA frame for packet transmission, satisfy the constraints, and minimize the end-to-end delay. The significant contributions of this study are: (1) proposing effective and efficient heuristic solutions to solve the NP-complete problem of generating optimal TDMA link schedules in WMNs; (2) investigating the new FD interference model to improve the network capacity above the physical layer. To achieve these objectives and contributions, the study uses two popular meta-heuristics, the artificial bee colony (ABC) and/or genetic algorithm (GA), to solve the known NP-complete problems of joint scheduling, power control, and rate control. The results of this study show that the proposed algorithms can generate optimized TDMA link schedules for both MTR and FD models. The joint routing and scheduling approach further minimizes end-to-end delay while maintaining the schedule's minimum length and/or maximum capacity. The proposed solution outperforms the existing solutions in terms of the number of active links, end-to-end delay, and network capacity. The research aims to improve the efficiency and effectiveness of WMNs in most applications that require high throughput and fast response time.

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“…5G-enabled IoMT offers low latency and wide connectivity. Machine learning and predictive analytics can also improve QoS in addition to reducing congestion on networks, improving resource allocation, and improving data transmission efficiency [2]. By enabling remote patient monitoring, telemedicine, and personalized care, IoMT might benefit healthcare.…”

Section: Introductionmentioning

confidence: 99%

5G-backed resilience and quality enhancement in internet of medical things infrastructure for resilient infrastructure

Ali,

Hamzah,

Radhi

et al. 2024

TELKOMNIKA

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The internet of medical things (IoMT) has transformed the healthcare sector by facilitating real-time monitoring, remote patient care, and tailored healthcare solutions. However, the challenge of upholding a high standard quality of service (QoS) in IoMT implementations remains a pressing issue. This article delves into the possibilities of utilizing 5G networks and smart techniques to optimize QoS within IoMT systems. By capitalizing on the capabilities of 5G networks, including substantial bandwidth, minimal latency, and extensive connectivity, in conjunction with intelligent methods such as machine learning and predictive analytics, this paper introduces novel strategies to enhance QoS in IoMT environments. The summary underscores the advantages of these methods in elevating network dependability, diminishing latency, enhancing data transmission efficiency, and enabling resource allocation efficiency in IoMT deployments. Additionally, it explores the potential ramifications of these developments on healthcare outcomes, patient contentment, and the overall effectiveness of the healthcare system. The conclusions propose that by maximizing QoS through 5G networks and intelligent techniques, IoMT holds the potential to significantly enhance the delivery of healthcare services, fostering a more interconnected and efficient healthcare ecosystem in the process innovation.

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Impacting of the E- Platforms on the 4.0th Industrial Educational Revolution

Cited by 9 publications

References 1 publication

2. Understanding the contributions of universities to regional development

2. Understanding the contributions of universities to regional development

Sustainable optimizing WMN performance through meta-heuristic TDMA link scheduling and routing

5G-backed resilience and quality enhancement in internet of medical things infrastructure for resilient infrastructure

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