arXiv subjects

Navod Neranjan Thilakarathne

Publications and source records attributed to Navod Neranjan Thilakarathne.

3 recordsLinked to original sources

arXiv2021

Green Internet of Things: The Next Generation Energy Efficient Internet of Things

The Internet of Things (IoT) is seen as a novel technical paradigm aimed at enabling connectivity between billions of interconnected devices all around the world. This IoT is being served in various domains, such as smart healthcare, traffic surveillance, smart homes, smart cities, and various industries. IoT's main functionality includes sensing the surrounding environment, collecting data from the surrounding, and transmitting those data to the remote data centers or the cloud. This sharing of vast volumes of data between billions of IoT devices generates a large energy demand and increases energy wastage in the form of heat. The Green IoT envisages reducing the energy consumption of IoT devices and keeping the environment safe and clean. Inspired by achieving a sustainable next-generation IoT ecosystem and guiding us toward making a healthy green planet, we first offer an overview of Green IoT (GIoT), and then the challenges and the future directions regarding the GIoT are presented in our study.

cs.CY↗

arXiv2020

Smart Grid: A Survey of Architectural Elements, Machine Learning and Deep Learning Applications and Future Directions

The Smart grid (SG), generally known as the next-generation power grid emerged as a replacement for ill-suited power systems in the 21st century. It is in-tegrated with advanced communication and computing capabilities, thus it is ex-pected to enhance the reliability and the efficiency of energy distribution with minimum effects. With the massive infrastructure it holds and the underlying communication network in the system, it introduced a large volume of data that demands various techniques for proper analysis and decision making. Big data analytics, machine learning (ML), and deep learning (DL) plays a key role when it comes to the analysis of this massive amount of data and generation of valuable insights. This paper explores and surveys the Smart grid architectural elements, machine learning, and deep learning-based applications and approaches in the context of the Smart grid. In addition in terms of machine learning-based data an-alytics, this paper highlights the limitations of the current research and highlights future directions as well.

cs.AI↗

arXiv2020

The Adoption of ICT Powered Healthcare Technologies towards Managing Global Pandemics

Pandemic is an outbreak that happens over a large geographic area affecting a greater portion of the population as new pathogens appear for which people have less immune and no vaccines are available. It can spread from person to person in a very short time, and in fact, the health workers are at greater risk of infection because of the patients who carry the disease. In the 21st century, where everyone is connected through digital technologies, Information and Communication Technology (ICT) plays a critical role in improving health care for individuals and larger communities. ICT has currently been severed in a variety of application domains which signifies its importance as a major technological paradigm, and it has drawn higher attention for its potential to alleviate the burden on healthcare systems caused by a rise in chronic diseases, aging and increased population and pandemic situations. This paper surveys and offers substantial knowledge about how effective ICT Healthcare strategy can be used to manage global pandemics by presenting a four-phased framework, which can be deployed to alleviate the strain on healthcare during a pandemic. In addition, we discuss how ICT powered technologies can be used towards managing a pandemic during the transformation of simple disease outbreak into a global pandemic.

cs.CY↗