A5035454333- IoT and Edge/Fog Computing
- Cloud Computing and Resource Management
- Distributed and Parallel Computing Systems
- IoT Networks and Protocols
- Privacy-Preserving Technologies in Data
- Energy Efficient Wireless Sensor Networks
- COVID-19 diagnosis using AI
- Blockchain Technology Applications and Security
- Stochastic Gradient Optimization Techniques
- Data Stream Mining Techniques
- Anomaly Detection Techniques and Applications
- Real-time simulation and control systems
- Context-Aware Activity Recognition Systems
- Software System Performance and Reliability
- Molecular Communication and Nanonetworks
- Artificial Intelligence in Healthcare
- Age of Information Optimization
- Scientific Computing and Data Management
- Brain Tumor Detection and Classification
- Caching and Content Delivery
- User Authentication and Security Systems
- Digital Transformation in Industry
- Machine Learning and ELM
- Cognitive Computing and Networks
- Wireless Body Area Networks
Indian Institute of Science Education and Research Thiruvananthapuram
2024-2025
Indian Institute of Information Technology Allahabad
2021-2023
Indian Institute of Management Lucknow
2021-2023
International Institute of Information Technology, Hyderabad
2023
University of Tartu
2019-2021
Indian Institute of Technology Dhanbad
2016-2020
Thapar Institute of Engineering & Technology
2019
Andalas University
2018
Budge Budge Institute of Technology
2017
Institute for Magnetospheric Physics
2014-2015
By providing the flexible and shared computing communication resources along with cloud services, fog became an attractive paradigm to support delay-sensitive tasks in Internet of Things (IoT). The existing researches for offloading a hierarchical fog-cloud environment mostly focused on minimizing overall delay. However, fair strategy selects suitable device terms node or server based resource requirements task while meeting deadline. In this article, we design new delay-dependent...
Nowadays, billions of Internet-of-Things devices generate various types delay-sensitive tasks to process within a limited time frame. By processing the at network edge using distributed fog can efficiently overcome deficiency centralized cloud data center (CDC), i.e., long latency and congestion. Moreover, inefficiency local devices, storage capabilities, we investigate collaboration between CDC, where preferably be offloaded on whereas resource-intensive are resource-rich CDC. However, one...
Seamless connectivity and ultra-reliable data transmission are among the ever increasing demands for a ubiquitous, smart, automated future digital society with 5G technology. However, substantial delay restricted applications always invoke problem beyond technologies due to long-distance communication service deployment in centralized cloud server. These limitations spur research initiatives coming generation of 6G technology that can concatenate voluminous assortment far-reaching terminal...
Fog computing has recently emerged to <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">in-situ</i> processing and energy-aware data offloading of Internet Things (IoT) applications in the industrial sensor networks. Besides that, increasing performance large-scale IoT by improving emergency response time become a critical issue To address above-mentioned challenges, this paper, we design novel Energy-aware Data Offloading ( <monospace...
In recent times, fog computing becomes an emerging technology that can exhilarate the cloud services towards network edge for increasing speeds up of various Internet-of-Things (IoT) applications. this context, integrating priority-aware scheduling and data offloading allow service providers to efficiently handle a large number real-time IoT applications enhance capability networks. But energy consumption has become skyrocketing, it gravely affects performance To address issue, in paper, we...
Fog computing has emerged as a promising paradigm that borrows the user-oriented cloud services to proximity of Internet-of-Things (IoT) users in sixth-generation (6G) networks. Currently, service providers establish proprietary fog architecture prolong specific group IoT by offering resources and edge level. However, this sort activity creates barrier limits development IoT-users. Keeping mind, we develop 6G-aware federation model for utilizing maximum providing demand across network while...
In the era of Internet Things (IoT), fog computing has become an enticing concept for supporting delay-sensitive tasks by offering versatile and convenient communication services to end users, in conjunction with cloud services. Most existing research mainly draws attention delay minimization completion time reduction hierarchical networks without giving priority select suitable device during failure or resource unavailability current devices. By motivating above-mentioned challenges, this...
With the exponential growth of Internet Things (IoT) devices in Maritime Transportation Systems (MTS), centralized cloud-centric framework can hardly meet requirements applications terms low latency and power consumption. By inventing distributed edge-centric framework, real-time IoT MTS by analyzing tasks at edge networks. However, one critical challenges is to provide security privacy between local nodes. Motivated that, this paper, we design a blockchain-enabled for data networks with...
Propelled by the growth of automotive industry, and ubiquity smart sensors, intelligent transport systems such as Internet Vehicles (IoV) have seen significant research interest in recent times. The emerging distributed IoV networks support real-time vehicular applications through on-device computing, communication-efficient data processing, edge cloud aggregation. While enriching user experience minimizing end-to-end latency efficient energy management, deployments face fundamental...