Sudeep Tanwar

Nirma University | NU · Institute of Technology

It has been observed that the agriculture sector has picked exponential growth with the help of the integration of advanced technology like wireless sensor networks (WSNs), the Internet of Things (IoT), and machine learning (ML). They have not only created new opportunities but also boosted the efficiency and productivity in the sector. Out of so m...

In this paper, we propose a novel approach for visible light communication (VLC) employing non-orthogonal multiple access (NOMA) with successive interference cancellation (SIC) in the context of DC coupled Filter Bank Multicarrier (DCO-FBMC) systems. Our proposed scheme, termed “DCO-FBMC-Based VLC NOMA with SIC Cancellation,” aims to enhance the ef...

With the advent of the Internet of Things (IoT), the conventional healthcare system has evolved into a smart healthcare system, offering intelligent prognosis and diagnosis services. However, as the healthcare sector embraces technological advances, concerns about the privacy and security of critical patient data have become more prevalent. Due to...

Traceability in the food industry has become essential to ensuring safety, quality, and regulatory compliance. Traditional traceability methods often lack transparency, efficiency, and security, leading to challenges in verifying product quality and adherence to health regulations. This paper addresses these challenges by presenting a unique blockc...

In smart communities, Electric vehicles (EVs) have grown in popularity as a key component of the energy ecosystem where the focus has turned to the generation of clean, sustainable energy. The integration of EVs, charging stations (CS), and smart grids (SG), however, poses significant challenges in terms of energy trading (ET) optimization and prof...

Federated Learning is a decentralized machine learning method that allows collaborative model training across several devices or institutions while maintaining the privacy and localization of data. Since the raw data is used locally, this collaborative method enables the development of a strong and precise global model without jeopardizing the priv...

The paper presents a scheme, Quant-Jack, which employs Quantum Machine Learning (QML) to combat the cryptojacking threat in Industrial Internet-of-Things (IIoT) networks. We propose a dual-layered QML architecture, based on Quantum Neural Networks (QNN) architecture. The first layer is the QNN detection layer that operates via a weighted sum approa...

In this paper, we propose MetaEd, which is a metaverse enabled virtual classroom and content generation framework, with networking services employed over fifth generation (5G) network. The framework is designed for Education 5.0 space, and presents two key functions- a virtual classroom setup, where the teacher and the student avatars can interact...

Integration of device-to-device (D2D) communication has gained significant attention within cellular networks as a means to enhance their capacity, coverage, and performance. Despite these advantages, D2D communication encounters various challenges, such as high interference, resource allocation, energy efficiency, and security. In this paper, we i...

The rapid advancement of healthcare in the digital age has ushered in a new era known as Healthcare 4.0, which is defined by the incorporation of the Internet of Things (IoT) into medical systems, also known as the internet of medical things (IoMT). This chapter provides an in-depth examination of IoMT, with a focus on its significance in the conte...

In today's era, the pharmaceutical industry has integrated blockchain to secure the sensitive information of medicines, wherein public and private blockchains are used to preserve the security and privacy of the medicine supply chain data. However, conventional blockchains often limit scalability due to limited storage. Moreover, blockchain has loo...

With the advent and popularity of electric vehicles (EVs), the intelligent transportation system has adopted them as an alternative to fossil fuel or gasoline vehicles owing to their benefits of reduced greenhouse gas emissions. However, it becomes critical to schedule the vast EVs at the charging station (CS) efficiently while maintaining security...

Parkinson Disease (PD) is most common diseases from majority of disease encountered all over the world, with more than 7 million individuals being affected. PD is a type of progressive nervous system disease, causing deterioration in health or function. The timely identification of PD is a significant challenge because it rarely shows symptoms in t...

This book provides the introduction of federated learning integration in the Internet-of-Medical Things (IoMT) based ecosystems. the rising concerns of privacy-preservation compliances worldwide, Federated learning (FL) simplifies the healthcare data privacy and allows local devices to collaboratively form shared prediction models, and thus ensures...

Artificial intelligence (AI) and machine learning (ML) have emerged as revolutionary fields with immense potential as technology continues to influence our world. Automation has been transformed by AI and ML, increasing productivity and efficiency for enterprises. Automation increases productivity and reduces operating costs by streamlining operati...

The Internet of Vehicles (IoV) revolutionizes vehicle communication in dynamic networks. Message dissemination in IoV involves sharing critical information for the safety and convenience of the IoV network. It is very crucial to secure message dissemination due to potential cyber‐attacks, traffic disruptions, and privacy breaches. Data integrity, a...

Several decades ago, the medicine supply chain (MSC) transferred the medicines from the manufacturer to the end‐consumer and kept all records in a manual register. The manual intermediary management of MSC and medicine data often leads to issues like unauthorized third parties participating in the process and illegally tempering medicine data. As a...

Recently, blockchain-based IoT solutions have been proposed that address trust limitation by maintaining data consistency, immutability, and chronology in IoT environments. However, IoT ecosystems are resource-constrained and have low bandwidth and finite computing power of sensor nodes. Thus, the inclusion of blockchain requires an effective polic...

Blockchain is emerging as a solution to secure healthcare records but faces certain shortcomings like transaction time, execution time, gas consumption, etc. The current article designed an extensive blockchain-based healthcare system (MyEasyHeathcare) with reduced gas consumption and execution time, along with enhanced security at three levels. At...

The widespread use of networked, intelligent, and adaptable devices in various domains, such as smart cities and home automation, climate control, manufacturing and logistics, healthcare, education, and agriculture, has been hastened by recent developments in hardware and software technologies. In all these application domains, the concept of the I...

Deep learning has seen significant growth recently and is now applied to a wide range of conventional use cases, including graphs. Graph data provides relational information between elements and is a standard data format for various machine learning and deep learning tasks. Models that can learn from such inputs are essential for working with graph...

Healthcare is undeniably a paramount concern for both individuals and nations alike. Its significance extends beyond just individual well-being, as the state of healthcare plays a pivotal role in the overall growth and stability of a nation’s economy. Recognizing this, industry and academics have embarked on various pioneering initiatives aimed at...

Electric vehicles (EVs) have become a prominent alternative to fossil fuel vehicles in the modern transportation industry due to their competitive benefits of carbon neutrality and environment friendliness. The tremendous adoption of EVs leads to a significant increase in demand for charging infrastructure. But, the scarcity of charging stations (C...

Water quality degradation has turned out to be of crucial importance due to various factors over the past decade. Pollution, climate change, and population growth are the factors that affect water quality. Contaminations such as microorganisms, heavy metals, and excessive nitrogen and phosphorous disrupt water pH levels, posing significant health r...

To address the challenges posed by a large number of disaster-waiver-affected users and the complexities of scaling centralized algorithms for rapidly restoring emergency communication services, the paper proposes a distributed intent-based optimization architecture based on multi-agent reinforcement learning. This approach aims to mitigate service...