scholarly journals A Lightweight Slice-Based Quality of Service Manager for IoT

IoT ◽  
2020 ◽  
Vol 1 (1) ◽  
pp. 49-75
Author(s):  
Antonio Oliveira-Jr ◽  
Kleber Cardoso ◽  
Filipe Sousa ◽  
Waldir Moreira
Keyword(s):  
Quality Of Service ◽  
Industry 4.0 ◽  
Farming Systems ◽  
Smart Manufacturing ◽  
Network Slicing ◽  
Wide Range ◽  
The Internet Of Things ◽  
Service Manager ◽  
Digital Farming

Industry 4.0 and digital farming rely on modern communication and computation technologies such as the Internet of Things (IoT) to provide smart manufacturing and farming systems. Having in mind a scenario with a high number of heterogeneous connected devices, with varying technologies and characteristics, the deployment of Industry 4.0 and digital farming solutions faces innovative challenges in different domains (e.g., communications, security, quality of service). Concepts such as network slicing and Software-Defined Networking (SDN) provide the means for faster, simpler, scalable and flexible solutions in order to serve a wide range of applications with different Quality-of-Service (QoS) requirements. Hence, this paper proposes a lightweight slice-based QoS manager for non-3GPP IoT focusing on different use cases and their varying requirements and characteristics. Our focus in this work is on non-3GPP IoT unlicensed wireless technologies and not specifically the end-to-end network slice perspective as described in 5G standards. We implemented and evaluated different QoS models in distinct scenarios in a real experimental environment in order to illustrate the potential of the proposed solution.

scholarly journals Innovation Trajectories for a Society 5.0

Data ◽  
2021 ◽  
Vol 6 (11) ◽  
pp. 115
Author(s):  
Fabio De Felice ◽  
Marta Travaglioni ◽  
Antonella Petrillo
Keyword(s):  
Industry 4.0 ◽  
Well Being ◽  
Enabling Factors ◽  
Interpretive Structural Modeling ◽  
Main Driver ◽  
Increase Productivity ◽  
New Perspective ◽  
Hierarchy Process ◽  
The Internet Of Things

Big Data, the Internet of Things, and robotic and augmented realities are just some of the technologies that belong to Industry 4.0. These technologies improve working conditions and increase productivity and the quality of industry production. However, they can also improve life and society as a whole. A new perspective is oriented towards social well-being and it is called Society 5.0. Industry 4.0 supports the transition to the new society, but other drivers are also needed. To guide the transition, it is necessary to identify the enabling factors that integrate Industry 4.0. A conceptual framework was developed in which these factors were identified through a literature review and the analytical hierarchy process (AHP) methodology. Furthermore, the way in which they relate was evaluated with the help of the interpretive structural modeling (ISM) methodology. The proposed framework fills a research gap, which has not yet consolidated a strategy that includes all aspects of Society 5.0. As a result, the main driver, in addition to technology, is international politics.

scholarly journals Model-Based Cloud Service Deployment Optimisation Method For Minimisation of Application Service Operational Cost

2021 ◽  
Author(s):  
Ivana Stupar ◽  
Darko Huljenić
Keyword(s):  
Quality Of Service ◽  
Cloud Service ◽  
Operational Cost ◽  
Cloud Infrastructure ◽  
Application Service ◽  
Cloud Application ◽  
Wide Range ◽  
Service Deployment ◽  
Cloud Applications

Abstract Many of the currently existing solutions for cloud cost optimisation are aimed at cloud infrastructure providers, and they often deal only with specific types of application services, leaving the providers of cloud applications without the suitable cost optimization solution, especially concerning the wide range of different application types. In this paper, we present an approach that aims to provide an optimisation solution for the providers of applications hosted in the cloud environments, applicable at the early phase of a cloud application lifecycle and for a wide range of application services. The focus of this research is development of the method for identifying optimised service deployment option in available cloud environments based on the model of the service and its context, with the aim of minimising the operational cost of the cloud service, while fulfilling the requirements defined by the service level agreement. A cloud application context metamodel is proposed that includes parameters related to both the application service and the cloud infrastructure relevant for the cost and quality of service. By using the proposed optimisation method, the knowledge is gained about the effects that the cloud application context parameters have on the service cost and quality of service, which is then used to determine the optimised service deployment option. The service models are validated using cloud application services deployed in laboratory conditions, and the optimisation method is validated using the simulations based on proposed cloud application context metamodel. The experimental results based on two cloud application services demonstrate the ability of the proposed approach to provide relevant information about the impact of cloud application context parameters on service cost and quality of service, and use this information in the optimisation aimed at reducing service operational cost while preserving the acceptable service quality level. The results indicate the applicability and relevance of the proposed approach for cloud applications in the early service lifecycle phase since application providers can gain useful insights regarding service deployment decision without acquiring extensive datasets for the analysis.

scholarly journals PERBANDINGAN QUALITY OF SERVICE PROTOKOL KOMUNIKASI DATA PADA SISTEM DETEKSI ASAP ROKOK BERBASIS INTERNET OF THINGS

2020 ◽  
Vol 16 (1) ◽  
pp. 19-24
Author(s):  
Pether V B Romony ◽  
Lanny Sitanayah ◽  
Junaidy B Sanger
Keyword(s):  
Quality Of Service ◽  
Internet Of Things ◽  
Transmission Control Protocol ◽  
The Internet ◽  
Data Loss ◽  
Transmission Control ◽  
User Datagram Protocol ◽  
Control Protocol ◽  
The Internet Of Things

Asap rokok adalah salah satu asap beracun yang berbahaya bagi kesehatan manusia dari sisi biologis maupun sisi kimiawi. Pada penelitian ini, penulis mengimplementasikansebuah sistem deteksi asap rokok berbasis The Internet of Things menggunakan sensor MQ135, Arduino board dan NodeMCU. Kemudian, penulis melakukan perbandingan Quality of Service dari dua protokol komunikasi data, yaitu Transmission Control Protocol dan User Datagram Protocol pada sistem tersebut. Parameter Quality of Service yang dibandingkan saat proses pengiriman data adalah delay dan data loss. Untuk setiap protokol, simulasi dilakukan selama 1 jam dengan pengiriman data setiap 5 detik, 10 detik, sampai 1 menit. Hasil yang diperoleh adalah data loss dengan Transmission Control Protocol lebih rendah dari pada data loss dengan User Datagram Protocol, sedangkan delay dengan User Datagram Protocol lebih rendah dari pada delay dengan Transmission Control Protocol.

scholarly journals Quality of service performances of video and voice transmission in universal mobile telecommunications system network based on OPNET

2021 ◽  
Vol 10 (6) ◽  
pp. 3202-3210
Author(s):  
Sameer A. S. Lafta ◽  
Mohaned Mahdi Abdulkareem ◽  
Raed Khalid Ibrahim ◽  
Marwah M. Kareem ◽  
Adnan Hussein Ali
Keyword(s):  
Quality Of Service ◽  
Video Transmission ◽  
Mobile Telecommunications ◽  
Voice Transmission ◽  
Wide Range ◽  
Universal Mobile Telecommunications System ◽  
Video And Audio ◽  
Qos Performance ◽  
Umts Networks

The universal mobile telecommunications system (UMTS) has distinct benefits in that it supports a wide range of quality of service (QoS) criteria that users require in order to fulfill their requirements. The transmission of video and audio in real-time applications places a high demand on the cellular network, therefore QoS is a major problem in these applications. The ability to provide QoS in the UMTS backbone network necessitates an active QoS mechanism in order to maintain the necessary level of convenience on UMTS networks. For UMTS networks, investigation models for end-to-end QoS, total transmitted and received data, packet loss, and throughput providing techniques are run and assessed and the simulation results are examined. According to the results, appropriate QoS adaption allows for specific voice and video transmission. Finally, by analyzing existing QoS parameters, the QoS performance of 4G/UMTS networks may be improved.

An Initial Framework for Implementation of Industry 4.0 in the High Technological Manufacturing Sector in Southern California

2019 ◽  
Author(s):  
Sagil James ◽  
Anupam Shetty
Keyword(s):  
Industry 4.0 ◽  
Southern California ◽  
Industrial Revolution ◽  
Manufacturing Sector ◽  
Smart Manufacturing ◽  
New Paradigm ◽  
Manufacturing Sectors ◽  
Southern California Region ◽  
The Internet Of Things ◽  
Initial Framework

Abstract The fourth industrial revolution, also known as Industry 4.0 is a new paradigm that is significantly influencing several manufacturing industries across the globe. Industry 4.0 synchronizes concepts such as Smart Manufacturing, Smart Factory, and the Internet of Things with existing factory automation technologies in order to improve value in manufacturing by monitoring key performance indicators and creates value in all manufacturing related aspects. Currently, several industries have started early initiatives of implementing these technologies. As the industries are evaluating their readiness for implementing the Industry 4.0 concepts, there are several challenges which need to be addressed including high initial investment, lack of standardization, data security and lack of skilled labor. A strategic roadmap towards implementing the Industry 4.0 paradigms is still unclear in the industry as well as in academia. This research develops an initial framework for the effective implementation of Industry 4.0 in the high technology manufacturing sectors in the Southern California region. The results of this study are expected to provide a platform to expand the opportunities of Industry 4.0 further and facilitate worldwide adoption.

scholarly journals Slice Management for Quality of Service Differentiation in Wireless Network Slicing

Sensors ◽  
2019 ◽  
Vol 19 (12) ◽  
pp. 2745 ◽  
Author(s):  
Namwon An ◽  
Yonggang Kim ◽  
Juman Park ◽  
Dae-Hoon Kwon ◽  
Hyuk Lim
Keyword(s):  
Quality Of Service ◽  
Random Network ◽  
Service Differentiation ◽  
Traffic Flows ◽  
Average Throughput ◽  
Average Delay ◽  
Network Slicing ◽  
Management Scheme ◽  
Simulation Results

Network slicing is a technology that virtualizes a single infrastructure into multiple logical networks (called slices) where resources or virtualized functions can be flexibly configured by demands of applications to satisfy their quality of service (QoS) requirements. Generally, to provide the guaranteed QoS in applications, resources of slices are isolated. In wired networks, this resource isolation is enabled by allocating dedicated data bandwidths to slices. However, in wireless networks, resource isolation may be challenging because the interference between links affects the actual bandwidths of slices and degrades their QoS. In this paper, we propose a slice management scheme that mitigates the interference imposed on each slice according to their priorities by determining routes of flows with a different routing policy. Traffic flows in the slice with the highest priority are routed into shortest paths. In each lower-priority slice, the routing of traffic flows is conducted while minimizing a weighted summation of interference to other slices. Since higher-priority slices have higher interference weights, they receive lower interference from other slices. As a result, the QoS of slices is differentiated according to their priorities while the interference imposed on slices is reduced. We compared the proposed slice management scheme with a naïve slice management (NSM) method that differentiates QoS among slices by priority queuing. We conducted some simulations and the simulation results show that our proposed management scheme not only differentiates the QoS of slices according to their priorities but also enhances the average throughput and delay performance of slices remarkably compared to that of the NSM method. The simulations were conducted in grid network topologies with 16 and 100 nodes and a random network topology with 200 nodes. Simulation results indicate that the proposed slice management increased the average throughput of slices up to 6%, 13%, and 7% and reduced the average delay of slices up to 14%, 15%, and 11% in comparison with the NSM method.

Reduction of HARQ Latency for URLLC 5G Services Based on Network Slicing and Massive MIMO Hybrid Beamforming

2020 ◽  
Vol 12 (7) ◽  
Author(s):  
Mohammad Emad Alolaby ◽  
Keyword(s):  
Quality Of Service ◽  
Data Streams ◽  
Massive Mimo ◽  
Low Latency ◽  
Major Contributor ◽  
Radio Network ◽  
Network Slicing ◽  
Hybrid Beamforming ◽  
Mimo Beamforming

Ultra-Reliable and Low-Latency Communications (URLLC) is one of the three generic 5G services and probably the most challenging one, with strict quality of service requirements of 99.999% or more reliability and less than 1 milliseconds (ms) radio latency. To achieve latency targets, contributors to latency need to be addressed. Hybrid automatic repeat request (HARQ) retransmissions are major contributor to latency and need to be limited. The objective of this paper is to study the benefit of using Massive MIMO (M-MIMIO) along with radio network slicing to reduce number of HARQ retransmissions. A practical type of M-MIMO beamforming named hybrid beamforming is used. The performance of the proposed system is evaluated with slicing, without slicing and by alternating number of data streams per user. This work highlights the importance of technology enablers, such as M-MIMO and network slicing, in addressing quality-of-service (QoS) latency requirements for URLLC applications.

Algorithms Optimization for Intelligent IoV Applications

2021 ◽  
pp. 1-25
Author(s):  
Elmustafa Sayed Ali Ahmed ◽  
Zahraa Tagelsir Mohammed ◽  
Mona Bakri Hassan ◽  
Rashid A. Saeed
Keyword(s):  
Quality Of Service ◽  
Internet Of Things ◽  
Network Topology ◽  
Clustering Algorithm ◽  
Clustering Algorithms ◽  
The Internet ◽  
Internet Of Vehicles ◽  
Topology Changes ◽  
The Internet Of Things

Internet of vehicles (IoV) has recently become an emerging promising field of research due to the increasing number of vehicles each day. It is a part of the internet of things (IoT) which deals with vehicle communications. As vehicular nodes are considered always in motion, they cause frequent changes in the network topology. These changes cause issues in IoV such as scalability, dynamic topology changes, and shortest path for routing. In this chapter, the authors will discuss different optimization algorithms (i.e., clustering algorithms, ant colony optimization, best interface selection [BIS] algorithm, mobility adaptive density connected clustering algorithm, meta-heuristics algorithms, and quality of service [QoS]-based optimization). These algorithms provide an important intelligent role to optimize the operation of IoV networks and promise to develop new intelligent IoV applications.

Time-slotted software-defined Industrial Ethernet for real-time Quality of Service in Industry 4.0

2019 ◽  
Vol 99 ◽  
pp. 1-10 ◽  
Author(s):  
Peng Zeng ◽  
Zhaowei Wang ◽  
Zhengyi Jia ◽  
Linghe Kong ◽  
Dong Li ◽  
...  
Keyword(s):  
Quality Of Service ◽  
Real Time ◽  
Industry 4.0 ◽  
Industrial Ethernet
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