Packet Scheduling for Internet of Remote Things (IoRT) devices in Next Generation Satellite Networks

Author(s):  
Gbolahan Aiyetoro ◽  
Pius Owolawi

Background: The massive amount of deployment of Internet of Things (IoT) devices via wireless communications has presented a new paradigm in next generation mobile networks. The rapid growth in the deployment of the IoT devices can be linked to the diverse use of several IoT applications for home automations, smart systems, and other forms of innovations in businesses and industry 4.0. Methods: There is need for a robust network infrastructure to actualize the huge traffic demand of the IoT communications in this new paradigm across the globe including rural and remote areas. However, due to technical and economical constraints, the terrestrial network infrastructure is not able to fulfil this requirement. Hence, the need for satellite network infrastructure. This solution will be of inmense benefit to the provision of remote health care, disaster management, remote sensing, and asset tracking and environmental monitoring to name a few. While this remain an interesting solution, the packet scheduling which is one of the key radio resource management functions is still a challenging issue that remains undefined especially in a satellite network scenario that has its own peculiarities and challenges. Results: Hence, the goal of this research work is to design a new packet scheduling scheme that will be suitable for machine type communications and also mixed use case scenario in satellite network scenario. The performance evaluation of the proposed packet scheduler is conducted through simulations. Conclusion: The newly proposed packet scheduling scheme provides at an improvement of approximately 7 Mbps and 0.5 bps/Hz in terms of throughput and spectral efficiency performances respectively in mixed use case scenario, when compared to known throughput optimal packet schedulers, without serious compromise to other performance metrics.

2021 ◽  
Author(s):  
Elvira Noelly Bonilla Tamez

The need for having a mechanism to automatically interpret content available on the Web without a human intervention has lead to the development of a new vision for the next generation of the Web, known as the Semantic Web. This new paradigm advocates the use of ontologies to achieve a common language for communication among humans, computers, and programs. In this thesis, a novel Semantic Web-based solution called SCOW-Q (Semantic Capability Discovery With QoS) model, is proposed, which provides an architectural basis for representing trust and trust management in Opportunistic Networks. The model is validated by means of a Use Case Scenario using a well-defined Semantic Web Service framework.


2021 ◽  
Author(s):  
Elvira Noelly Bonilla Tamez

The need for having a mechanism to automatically interpret content available on the Web without a human intervention has lead to the development of a new vision for the next generation of the Web, known as the Semantic Web. This new paradigm advocates the use of ontologies to achieve a common language for communication among humans, computers, and programs. In this thesis, a novel Semantic Web-based solution called SCOW-Q (Semantic Capability Discovery With QoS) model, is proposed, which provides an architectural basis for representing trust and trust management in Opportunistic Networks. The model is validated by means of a Use Case Scenario using a well-defined Semantic Web Service framework.


Network ◽  
2021 ◽  
Vol 1 (1) ◽  
pp. 28-49
Author(s):  
Ehsan Ahvar ◽  
Shohreh Ahvar ◽  
Syed Mohsan Raza ◽  
Jose Manuel Sanchez Vilchez ◽  
Gyu Myoung Lee

In recent years, the number of objects connected to the internet have significantly increased. Increasing the number of connected devices to the internet is transforming today’s Internet of Things (IoT) into massive IoT of the future. It is predicted that, in a few years, a high communication and computation capacity will be required to meet the demands of massive IoT devices and applications requiring data sharing and processing. 5G and beyond mobile networks are expected to fulfill a part of these requirements by providing a data rate of up to terabits per second. It will be a key enabler to support massive IoT and emerging mission critical applications with strict delay constraints. On the other hand, the next generation of software-defined networking (SDN) with emerging cloudrelated technologies (e.g., fog and edge computing) can play an important role in supporting and implementing the above-mentioned applications. This paper sets out the potential opportunities and important challenges that must be addressed in considering options for using SDN in hybrid cloud-fog systems to support 5G and beyond-enabled applications.


2009 ◽  
Vol 55 (4) ◽  
pp. 641-658 ◽  
Author(s):  
Karl V Voelkerding ◽  
Shale A Dames ◽  
Jacob D Durtschi

Abstract Background: For the past 30 years, the Sanger method has been the dominant approach and gold standard for DNA sequencing. The commercial launch of the first massively parallel pyrosequencing platform in 2005 ushered in the new era of high-throughput genomic analysis now referred to as next-generation sequencing (NGS). Content: This review describes fundamental principles of commercially available NGS platforms. Although the platforms differ in their engineering configurations and sequencing chemistries, they share a technical paradigm in that sequencing of spatially separated, clonally amplified DNA templates or single DNA molecules is performed in a flow cell in a massively parallel manner. Through iterative cycles of polymerase-mediated nucleotide extensions or, in one approach, through successive oligonucleotide ligations, sequence outputs in the range of hundreds of megabases to gigabases are now obtained routinely. Highlighted in this review are the impact of NGS on basic research, bioinformatics considerations, and translation of this technology into clinical diagnostics. Also presented is a view into future technologies, including real-time single-molecule DNA sequencing and nanopore-based sequencing. Summary: In the relatively short time frame since 2005, NGS has fundamentally altered genomics research and allowed investigators to conduct experiments that were previously not technically feasible or affordable. The various technologies that constitute this new paradigm continue to evolve, and further improvements in technology robustness and process streamlining will pave the path for translation into clinical diagnostics.


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