MOHIT KUMAR

• PhD
• Professor (Assistant) at Dr. B. R. Ambedkar National Institute of Technology Jalandhar

The rapid dispersion of internet of things (IoT) applications demands real-time data processing with minimum latency and energy consumption, where cloud is not an optimal choice to deal with such types of applications. This led to the emergence of the edge paradigm, which places storage and computation in the vicinity of end devices, offloading dec...

In the burgeoning field of Federated Learning (FL), communication efficiency is pivotal for the practical deployment of collaborative machine learning models. The paper reviews the latest advancements aimed at reducing communication overhead in FL. We explore cutting-edge model compression techniques, including pruning and quantization, which minim...

The emergence of the Internet of Things (IoT) signifies a transformative wave of innovation, establishing a network of devices designed to enrich everyday experiences. Developing intelligent and secure IoT applications without compromising user privacy and the transparency of model decisions causes a significant challenge. Federated Learning (FL) s...

Nowadays, prevention control of message sharing as well as security enhancement in speech transmission which occurs due to users having a passion for novel inventions, communication system benefits. In this paper, the main objective is to design a speech steganography framework with covert message data transmission including speech. The secret mess...

Understanding the optimization landscape in deep neural networks is essential for evaluating model performance, especially in distributed environments like federated learning (FL). Recent studies highlight the importance of valley symmetry in the loss landscape, showing how factors such as dataset heterogeneity, network architecture, and initializa...

Due to explosion of Internet of Things (IoT), the attention of numerous researchers is moved towards the service distribution that requires reduced latency and higher efficiency. As a result, the concept of edge paradigm has been introduced which takes computation and storage in the vicinity of edge nodes. To ensure optimal performance, cost-effect...

The growing number of consumer Internet of Things (IoT) gadgets, including smart homes, fitness trackers, connected appliances, and home security systems, is transforming the way we live our daily lives. This has led to the emergence of a collaborative cloud-edge paradigm to leverage resources and services near the end-user, thereby providing promp...

Edge Artificial Intelligence (AI) incorporates a network of interconnected systems and devices that receive, cache, process, and analyse data in close communication with the location where the data is captured with AI technology. Recent advancements in AI efficiency, the widespread use of Internet of Things (IoT) devices, and the emergence of edge...

Recently, academics and the corporate sector have paid attention to serverless computing, which enables dynamic scalability and an economic model. In serverless computing, users only pay for the time they actually use resources, enabling zero scaling to optimise cost and resource utilisation. However, this approach also introduces the serverless co...

Yellow fever is a vigorous, phlebotomic, vector-borne disease that poses a significant public health threat in regions with high mosquito density and inadequate vaccination coverage. The disease's toxic phase is lethal, making prompt identification and control measures crucial. The emergence of the latest technologies and data analytics techniques...

Cloud computing is an emerging choice among businesses all over the world since it provides flexible and world wide web computer capabilities as a customizable service. Because of the dispersed nature of cloud services, security is a major problem. Since it is extremely accessible to intruders for any kind of assault, privacy and security are major...

The rapid advancement of mobile edge computing (MEC) has revolutionized the distributed computing landscape. With the help of MEC, the traditional centralized cloud computing architecture can be extended to the edge of networks, enabling real-time processing of resources and time-sensitive applications. Nevertheless, the problem of efficiently assi...

Cardiovascular diseases (CVDs) have emerged as the world’s most deadly disease in recent years and are the primary reason of death worldwide. An intelligent and improved system is required to detect heart disease in its early stages accurately, reliably, and in a faster way so that human life can be saved before reaching its critical stage. Many re...

The framework for existing legacy network architecture is massive and complex. It mainly relies on inflexible and expensive equipment, typically constructed from a massive number of switches, routers, firewalls, and hubs. Moreover, this vendor-specific network configuration and complex control protocols are not flexible enough to offer customized q...

The advent of cloud computing has made a global impact by providing on-demand services, elasticity, scalability, and flexibility, hence delivering cost-effective resources to end users in pay-as-you-go manner. However, securing cloud services against vulnerabilities, threats, and modern attacks remains a major concern. Application layer attacks are...

The escalating threat of easily transmitted diseases poses a huge challenge to government institutions and health systems worldwide. Advancements in information and communication technology offer a promising approach to effectively controlling infectious diseases. This article introduces a comprehensive framework for predicting and preventing zoono...

Edge Artificial Intelligence (AI) incorporates a network of interconnected systems and devices that receive, cache, process, and analyze data in close communication with the location where the data is captured with AI technology. Recent advancements in AI efficiency, the widespread use of Internet of Things (IoT) devices, and the emergence of edge...

Internet of Things (IoT) based sensor networks have been established as a pillar in intelligent communication systems for efficiently handling roadside congestion and accidents. These IoT networks sense, collect, and process data on a real‐time basis. However, IoT based sensor network clustering has various energy constraints such as inefficient ro...

The need for intelligence in today’s era has tremendously increased the demand for Internet of Things (IoT) devices implanted to collect and process diverse data. Cloud computing offers a plethora of services to computationally constrained internet of things devices, but latency degrades the performance of real-time applications. A few other comput...

The recent tragic events in Sikkim and other Himalayan regions highlight the urgent need for research on flash floods in steep channels. Catastrophic floods like those at Lhonak Lake in Sikkim, caused by heavy rainfall and a glacial lake burst, resulted in loss of life and extensive damage. Similar incidents in Solan and Shimla underscore the vulne...

Edge computing plays a crucial role in the processing of Consumer Internet of Things (IoT)-enabled latency-sensitive applications. In smart homes, dynamic action strategies based on multiple IoT objects with edge processing can be the best solution for handling adverse events. To overcome these challenges, the use of Stochastic Game Net (SGN) formi...

The proliferation of ubiquitous Internet of Things (IoT) sensors and smart devices in several domains embracing healthcare, Industry 4.0, transportation and agriculture are giving rise to a prodigious amount of data requiring ever-increasing computations and services from cloud to the edge of the network. Fog/Edge computing is a promising and distr...

Every year in the United States, the 4th Thursday of November is commemorated as Thanksgiving Day. The next day which is a Friday is known as Black Friday. This day is the busiest day in terms of shopping because all major retailers and e-commerce websites offer massive amounts of discounts and deals. Hence, this sale is termed the Black Friday Sal...

The prolonged 5G network deployment includes the Internet of Things (IoT) as a technological advancement toward the expansion of wireless communication. The Internet of Everything (IoE), a superset of IoT, acts as the proliferation that accelerated the outburst of data and sparked new disciplines. Nonetheless, the foundational and crucial elements...

Over the past few years, the demand for data traffic has experienced explosive growth thanks to the increasing need to stay online. New applications of communications, such as wearable devices, autonomous systems, drones, and the Internet of Things (IoT), continue to emerge and generate even more data traffic with vastly different performance requi...

Cardiovascular diseases (CVDs), also known as heart disease, are the leading cause of death globally in recent decades and have emerged as the most lethal disease globally. According to the WHO, heart disease causes 17.7 million deaths worldwide, or 31% of all deaths. Machine learning-based algorithms play a vital role in the field of heart disease...

The Internet of Things (IoT) enabled wireless sensor networks (WSNs) are used to collect data from various nodes in hostile environments, but it is essential to authenticate legitimate nodes to prevent malicious attacks. Traditional authentication schemes may be vulnerable to attack, necessitating the development of more secure authentication techn...

COVID-19 was one of the deadliest and most infectious illnesses of this century. Research has been done to decrease pandemic deaths and slow its spread. COVID-19 detection investigations have utilized Chest X-ray (CXR) images with deep learning techniques due to the sensitivity in identifying pneumonic alterations. However, CXR images are not publi...

Digitalisation, accelerated by the pandemic, has brought the opportunity for companies to expand their businesses beyond their geographic location and has considerably affected networks around the world. Cloud services have a better acceptance nowadays, and it is foreseen that this industry will grow exponentially in the following years. With more...

A cyber-physical system is considered to be a collection of strongly coupled communication systems and devices that poses numerous security trials in various industrial applications including healthcare. The security and privacy of patient data is still a big concern because healthcare data is sensitive and valuable, and it is most targeted over th...

Mobile Internet services are developing rapidly for several applications based on computational ability such as augmented/virtual reality, vehicular networks, etc. The mobile terminals are enabled using mobile edge computing (MEC) for offloading the task at the edge of the cellular networks, but offloading is still a challenging issue due to the dy...

Task scheduling in cloud paradigm brought attention of all researchers as it is a challenging issue due to uncertainty, heterogeneity, and dynamic nature as they are varied in size, processing capacity and number of tasks to be scheduled. Therefore, ineffective scheduling technique may lead to increase of energy consumption SLA violations and makes...

The Internet of Things (IoT) has revolutionized the industrial field with numerous facilities and advancements. The industrial IoT system demands delay-aware workload execution with the aid of a fog computing platform, and precise resource allocation is required in fog nodes (FNs) to execute the fluctuating industrial IoT workloads with minimal cos...

Due to changing lifestyles, human physical exercise has dropped rapidly which leads to several health-related problems. It is not easy to detect heart-related diseases, but with the emergence and advancement in technologies like Edge, Fog computing, Machine learning, Cloud computing, and the Internet of Things (IoT), it’s a cinch to track heart dis...

Digitalisation, accelerated by the pandemic, has brought the opportunity for companies to expand their businesses beyond their geographic location and has considerably affected networks around the world. Cloud services have a better acceptance nowadays, and it is foreseen that this industry will grow exponentially in the following years. With more...

Cloud service providers are aggressively expanding their data centers to meet end-user demand, resulting in increased power and energy consumption. As a result, it becomes extremely important to implement server consolidation solutions in the context of cloud computing. One of the difficult problems in cloud data centers is efficient server consoli...

Medical cyber–physical systems (MCPS) firmly integrate a network of medical objects. These systems are highly efficacious and have been progressively used in the Healthcare 4.0 to achieve continuous high-quality services. Healthcare 4.0 encompasses numerous emerging technologies and their applications have been realized in the monitoring of a varie...

A cyber-physical system is considered to be a collection of strongly coupled communication systems and devices that poses numerous security trials in various industrial applications including healthcare. The security and privacy of patient data is still a big concern because healthcare data is sensitive and valuable, and it is most targeted over th...

Heart disease is one among the critical human diseases as well as healthcare issue, that affects human very severely. It occurs when heart is unable to supply appropriate amount of blood to the parts of body. It is the most fatal issue which cannot be seen with naked eye. At the exact time, it requires accurate diagnosis. For preventing heart failu...

Microservices is a structural approach, where multiple small set of services are composed and processed independently with lightweight communication mechanism. To accomplish the end‐user demand in minimum delay and cost without violating the service level agreement (SLA) constraints and overhead is a challenging issue in cloud computing. In additio...

Resource management in computing is a very challenging problem that involves making sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse nature of workload, and the unpredictability of fog/edge computing environments have made resource management even more challenging to be considered in the fog landscape. Recentl...

The adoption of Internet of Things (IoT) applications is growing rapidly in various sectors to create a smart atmosphere like automobiles, medicine, smart cities, agriculture, etc. Each IoT device produces enormous data that requires the resources for processing, but these devices have resource constraints. However, the cloud platform executes such...

COVID‐19 is highly contagious in nature. It marked a grievous impact on the world's social and economic status and disrupted the other related domains as well. Global mental health is debatable in present scenario. Travel and Tourism industry is one of the hardly hit sectors which clearly and badly influenced the aviation industry. In this article,...

The cloud paradigm is one of the most trending areas in today’s era due to its rich profusion of services. However, it fails to serve the latency-sensitive Industrial Internet of Things (IIoT) applications associated with automotives, robotics, oil and gas, smart communications, Industry 5.0, etc. Hence, to strengthen the capabilities of IIoT, fog...

The profound era of cloud computing (CC) is revolutionizing Industry 5.0in which users have online access to network services including better, transparent user management and the capacity to gather and analyze data. The services of the cloud paradigm have been adopted by academia, industries, healthcare, smart homes, and other areas due to cost-ef...

The rapid integration of Internet of Things (IoT) services and applications across various sectors is primarily driven by their ability to process real-time data and create intelligent environments through artificial intelligence for service consumers. However, the security and privacy of data have emerged as significant threats to consumers within...

Industrial Internet of Things (IIoT) is a very effective and efficient way to track products during their production, packaging, storage, and shipments. It can also help in monitoring their real‐time conditions such as location, speed of moments, and temperature. Presently most of the supply chain management systems are not effective due to their i...

The cloud services demand has increased exponentially in the last decade due to its plethora of services. It becomes a significant platform to compute large and diverse applications over the internet. On the contrary, on‐demand resource allocation to a variety of applications becomes a serious issue due to dynamic workload conditions and uncertaint...

The scheduling of applications is one of the prominent challenges in cloud computing, due to run time mapping by task scheduler between upcoming workload and cloud resources. An efficient scheduling algorithm is needed to schedule the diverse workload and improve the performance metrics by minimizing makespan and maximizing resource utilization. Ma...

With the advent of the Internet of Things (IoT) paradigm, the cloud model is unable to offer satisfactory services for latency‐sensitive and real‐time applications due to high latency and scalability issues. Hence, an emerging computing paradigm named as fog/edge computing was evolved, to offer services close to the data source and optimize the qua...

Cloud computing is gaining popularity around the globe over the last decade due to offering various types of services to end-users. Virtual machines (VM) Configuration is an imperative part of the Cloud which has turned into the focal point of attraction for many researchers nowadays. The objective of VM placement is to find an optimal physical hos...

In modern militaries the Unmanned Aerial Vehicles (UAVs) are used for war fighting and also for certain civilian applications such as law enforcement, content for news outlets, situational awareness for emergency services and data collection for researchers. In UAVs, due to their ad-hoc nature, limited battery life, it needs better energy consumpti...

The eruption of COVID-19 pandemic has led to the blossoming usage of face masks among individuals in the communal settings. To prevent the transmission of the virus, a mandatory mask-wearing rule in public areas has been enforced. Owing to the use of face masks in communities at different workplaces, an effective surveillance seems essential becaus...

Cloud computing proved itself a powerful and popular platform for providing computing services. It offers on-demand services to users with highly efficient resources over the internet. With the exponential increase in the number of internet users and due to the high acceptance rate to use the cloud services in everything, the demand for cloud platf...

Recent years have seen a rise in interest in peer-to-peer applications because of their scalability, fault tolerance, and other noteworthy benefits. The main benefit of P2P technology is the reduction of central server resources used by ensuring that computing resources, bandwidth resources, content resources, and so on, are consumed effectively by...

In recent years, 5G network systems start to offer communication infrastructure for Internet of Things (IoT) applications, especially for health care service providers. In smart health care systems, edge computing enabled Internet of Medical Things (IoMT) is an innovative technology to provide online health care monitoring facility to patients. Her...

Applications of the Internet of Things (IoT) are used in several areas to create a smart environment such as healthcare, smart agriculture, smart cities, transportation, and water management, etc. Due to the high pace of IoT technology adoption, Big Data generation is increasing excessively, requiring an efficient platform like cloud computing to p...

In today's era, the IoT (Internet of Things) introduced a new way to create a bond between devices and humans for enhancing and making life quite easy. The main purpose of attraction toward improving the healthcare industry with the latest technology is because IoT has proven great opportunity in smart offices, warehouses, smart homes, etc. So, IoT...

The Internet of Things (IoT) is a rising technology where real-world physical objects are connected to the network and trying to make the smart environment solve some real-life problems automatically in an efficient way. These IoT devices generate a large amount of data at a constant rate and demand high storage and computational resources. The clo...

5G networks offer novel communication infrastructure for Internet of Things applications, especially for healthcare applications. There, edge computing enabled Internet of Medical Things provides online patient status monitoring. In this contribution, a Chicken Swarm Optimization algorithm, based on Energy Efficient Multi-objective clustering is ap...

The objective of cloud computing is to provide seamless services using virtualization technology over the Internet to serve the Quality of Service (QoS)-driven end users requirements. In order to provide various services like Software as a Service, Platform as a Service, Infrastructure as a Service, the cloud server’s datacenters are kept active, w...

With Cloud computing becoming mainstream for the execution of various applications, the multi-objective scheduling algorithms for providing the most suitable services to users have gained much attention. As provisioning Cloud services that satisfy end-users quality of service (QoS) requirements is complex and challenging, scheduling algorithms for...

Device-to-device communication attracts the research community due to its diversifying range of applications. Device-to-device communication occurs between two devices without any aid from the base station. Thus, it helps in providing connectivity in low connectivity areas. In this article, authors proposed a new technique named as Clustering Based...

Internet of Things (IoT) is a new buzzword in information technology where real-world physical objects are made smart by integrating them with internet-enabled technologies. The things can sense information around them, communicate the sensed information over some protocol and employ the information to solve real-life problems. In IoT, several tech...

We investigate that resource provisioning and scheduling is a prominent problem due to heterogeneity as well as dispersion of cloud resources. Cloud service providers are building more and more datacenters due to demand of high computational power which is a serious threat to environment in terms of energy requirement. To overcome these issues, we...

Cloud computing provides infinite resources and various services for the execution of variety of applications to end users, but still it has various challenges that need to be addressed. Objective of cloud users is to select the optimal resource that meets the demand of end users in reasonable cost and time, but sometimes users pay more for short t...

We investigate that resource provisioning and scheduling is a prominent problem due to heterogeneity as well as dispersion of cloud resources. Cloud service providers are building more and more datacenters due to demand of high computational power which is a serious threat to environment in terms of energy requirement. To overcome these issues, we...

Cloud computing provides infinite resources and various services for the execution of variety of applications to end users, but still it has various challenges that need to be addressed. Objective of cloud users is to select the optimal resource that meets the demand of end users in reasonable cost and time, but sometimes users pay more for short t...

Cloud computing is a new paradigm which offers the unlimited number of resources to users for executing the applications (tasks) simultaneously. Fluctuating demand of users and diverse nature of applications, invites the load balancing (over-load and under-load) problems of virtual machines in cloud data center that directly degrade the performance...

The main goal of cloud service provider is to maximize the profit from cloud infrastructure, while cloud users want to execute their applications in minimum execution cost and time. The rapid growth in demand of computational power invites the massive growth in cloud data centers and requirement of large amount of energy consumption in cloud data c...

There are many load balancing algorithm has been proposed for cloud computing in last decade but none of algorithm provides the elasticity with load balancing. We proposed a cloud architecture that is capable of handling the maximum user request before meet to deadline and provides an elasticity mechanism with the help of threshold based trigger st...

Cloud computing is now dominated in the area of high performance distributing computing and it provides resource polling and on demand services through internet. Therefore task scheduling becomes an important research area in the field of cloud environment because user’s services demand change dynamically. Heterogeneous Earliest Finish Time (HEFT)...

Performance of the cloud infrastructure is highly depends upon the task scheduling and load balancing. Therefore number of load balancing algorithms and technique are proposed by researchers throughout the world whose aim is to distribute the workload fairly among all the virtual machine while attaining the objective. We developed a load balancing...

There are many load balancing algorithm has been proposed for cloud computing in last decade but none of algorithm provides the elasticity with load balancing. We proposed a cloud architecture that is capable of handling the maximum user request before meet to deadline and provides an elasticity mechanism with the help of threshold based trigger st...

Cloud computing is a service model in which users get on-demand service pay per use basis over the internet through some well-formed web-based tool and application. Number of applications and users are increasing frequently in cloud environment, due to which load balancing has become a critical problem for cloud service provider. There are many loa...

The most challenging problem for a cloud service provider is maintaining the quality of service parameters like reliability, elasticity, keeping the deadline and minimizing the makespan time as also the task rejection ratio. Therefore, the cloud service provider needs a dynamic task scheduling algorithm that reduces the makespan time while increasi...

Cloud computing provides the different types of services (availability, scalability, on demand service etc.) to the user on the basis of pay per use basis over the internet. Number of users and application are increasing day by day in cloud environment due to which assignment of task to best virtual machine among the available virtual machine becom...

Distribution of work load (job) among the virtual machine is one of the challenging issues in cloud environment. It is very difficult to predict the execution time of job in cloud computing. So Cloud job scheduler should be dynamic in nature and distribute the job among the virtual machine in such a manner, no virtual machine should be in overloade...