Comprehensive study of wireless networks qos parameters and comparing their performance based on real time scenario

Manishankar, S; Srinithi, C R; Joseph, Dawn

doi:10.1109/iciiecs.2017.8275956

Cited by 17 publications

(4 citation statements)

References 10 publications

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“…For a wireless network to be considered to satisfy user requirements, its quality is measured as a collective effect of performance parameters related to the network, such as system throughput, end-to-end delay, and jitter and packet loss, which is known as the QoS [47]. Because 5G supports various services, there is an incentive for resource allocation to rely on QoS awareness [48,49].…”

Section: ) Qos and Qoementioning

confidence: 99%

Survey of Radio Resource Management in 5G Heterogeneous Networks

et al. 2020

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Radio resource management (RRM) for future fifth-generation (5G) heterogeneous networks (HetNets) has emerged as a critical area due to the increased density of small-cell networks and radio access technologies. Recent research has mostly concentrated on resource management, including spectrum utilization and interference mitigation, but the complexities of these resources have been given little attention. This paper provides an overview of the issues arising from future 5G systems and highlights their importance. The different approaches used in recently published surveys categorizing RRM schemes are discussed, and the survey method is presented. We report on a survey of HetNet RRM schemes that have been studied recently, with a focus on the joint optimization of radio resource allocation with other mechanisms. These RRM schemes were subcategorized according to their optimization metrics and qualitatively analyzed and compared. An analysis of the complexity of RRM schemes in terms of implementation and computation is presented. Several potential scopes of research for future RRM in 5G HetNets are also identified.

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Section: ) Qos and Qoementioning

confidence: 99%

Survey of Radio Resource Management in 5G Heterogeneous Networks

et al. 2020

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“…Manishankar.S et.al [15] [2017] In this work, the efficiency of the network is measured through a certain parameters such as time delay, jitter, end to end delay and packet loss.…”

Section: Literature Surveymentioning

confidence: 99%

A Protocol for the Effective Utilization of Energy in Wireless Sensor Network

Anand¹,

Radhakrishna²

2018

IJET

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In current technology Adhoc network is most commonly used in communication network. Major parts of the Adhoc network devices are based on the sensor nodes. Sensor devices operated on the battery so energy is vital constraint. Effective Utilization of the energy of the sensor nodes and sensor networks to the full extent is highly impracticable. Optimization of the network root and the load balancing in coverage helps to maximize the lifetime of the sensor network considerably. The research carry out on sensor network, deployment model is proposed which essentially finds the optimized roots with the help of neighbour discovery algorithm which find the neighbour and non neighbour nodes and analysis the load of the network based on Packet Retrieval in RREQ, throughput, average energy consumption, packet delivery ratio and packet drop.

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“…Other considerations defined as performance are load balancing, resource utilization, overhead, and computational time. This metric is necessary during all stages, including data collection, processing, and service delivery [ 36 ]. Scalability : This metric refers to the ability of the clinical laboratories to increase the total capacity when there is an increase in service demand without reducing the performance.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Systematic Review of Internet of Things in Clinical Laboratories: Opportunities, Advantages, and Challenges

Munir

Akbar

Ahmed

et al. 2022

Sensors

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The Internet of Things (IoT) is the network of physical objects embedded with sensors, software, electronics, and online connectivity systems. This study explores the role of IoT in clinical laboratory processes; this systematic review was conducted adhering to the PRISMA Statement 2020 guidelines. We included IoT models and applications across preanalytical, analytical, and postanalytical laboratory processes. PubMed, Cochrane Central, CINAHL Plus, Scopus, IEEE, and A.C.M. Digital library were searched between August 2015 to August 2022; the data were tabulated. Cohen’s coefficient of agreement was calculated to quantify inter-reviewer agreements; a total of 18 studies were included with Cohen’s coefficient computed to be 0.91. The included studies were divided into three classifications based on availability, including preanalytical, analytical, and postanalytical. The majority (77.8%) of the studies were real-tested. Communication-based approaches were the most common (83.3%), followed by application-based approaches (44.4%) and sensor-based approaches (33.3%) among the included studies. Open issues and challenges across the included studies included scalability, costs and energy consumption, interoperability, privacy and security, and performance issues. In this study, we identified, classified, and evaluated IoT applicability in clinical laboratory systems. This study presents pertinent findings for IoT development across clinical laboratory systems, for which it is essential that more rigorous and efficient testing and studies be conducted in the future.

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Comprehensive study of wireless networks qos parameters and comparing their performance based on real time scenario

Cited by 17 publications

References 10 publications

Survey of Radio Resource Management in 5G Heterogeneous Networks

Survey of Radio Resource Management in 5G Heterogeneous Networks

A Protocol for the Effective Utilization of Energy in Wireless Sensor Network

A Systematic Review of Internet of Things in Clinical Laboratories: Opportunities, Advantages, and Challenges

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