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DCNN-GA: A Deep Neural Net Architecture for Navigation of UAV in Indoor Environment
(2021 , Article)
The applications of unmanned aerial vehicles (UAVs) in military, intelligent transportation, agriculture, rescue operations, natural environment mapping, and many other allied domains has increased exponentially during the ...
Backscatter-Enabled Efficient V2X Communication with Non-Orthogonal Multiple Access
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Non-orthogonal multiple access (NOMA) and backscatter communications are considered to be promising technologies for beyond the fifth-generation (5G) due to their applications in large-scale Internet-of-things networks for ...
A Blockchain and Edge-Computing-Based Secure Framework for Government Tender Allocation
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Governments and public sector entities around the world are actively exploring new ways to keep up with technological advancements to achieve smart governance, work efficiency, and cost optimization. Blockchain technology ...
Block6Tel: Blockchain-based Spectrum Allocation Scheme in 60-envisioned Communications
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference)
The 6G-based spectrum bands allocation to telecom providers would guarantee ultra peak rates, high availability, and extremely low-latency for various user applications. However, the spectrum allocation still suffers from ...
Res6Edge: An Edge-AI Enabled Resource Sharing Scheme for C-V2X Communications towards 60
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference)
The paper proposes a sixth-generation (6G)-enabled cellular vehicle-to-anything (C-V2X)-based scheme, ResóEdge, that supports high-data ingestion rate through artificial intelligence (AI) models at edge nodes, or Edge-AI. ...
Smart stock exchange market: A secure predictive decentralized model
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference)
Stock exchanges around the world are exploring the best possible solution that can improve trading efficiency, lower the risks and tighten secu- rity levels. The working and functioning of a stock exchange involves very ...
Federated Learning Meets Human Emotions: A Decentralized Framework for Human-Computer Interaction for IoT Applications
(
IEEE Internet of Things Journal
, 2021 , Article)
As stated by Spock, 'change is the essential process of all existence,' which is reflected in everyday applications in our daily lives. We, as humans, just need to find a way to make the best use of the current technological ...
Federated Learning and Autonomous UAVs for Hazardous Zone Detection and AQI Prediction in IoT Environment
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Air pollution monitoring, finding the hazardous zone, and future air quality predictions have recently become a significant issue for many researchers. With the adverse effect of low air quality on human health, it has ...
A Hybrid Deep Reinforcement Learning for Autonomous Vehicles Smart-Platooning
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
The development of Autonomous Vehicles (AVs) envisions the promising technology of future Intelligent Transportation Systems (ITS). However, the complex road structures and increased vehicles cause traffic congestion and ...
A Vision on 6G-Enabled NIB: Requirements, Technologies, Deployments, and Prospects
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Network-in-a-box (NIB) aims to provide personalized private network services in mission-crit-ical situations. Innovation in business models in industry 4.0 would require NIB to get positioned anywhere and provision seamless ...