Hybrid Beamforming for mm-Wave Massive MIMO Systems with Partially Connected RF Architecture
To satisfy the capacity requirements of future mobile systems, under-utilized millimeter wave frequencies can be efficiently exploited by employing massive multiple input-multiple output (MIMO) technology with highly directive beamforming. Hybrid ...
ABCNN-IDS: Attention-Based Convolutional Neural Network for Intrusion Detection in IoT Networks
This paper proposes an attention-based convolutional neural network (ABCNN) for intrusion detection in the Internet of Things (IoT). The proposed ABCNN employs an attention mechanism that aids in the learning process for low-instance classes. On ...
IoT6-MST: Moving to an IPv6-Based Internet of Things based on Multifarious Sym Teredo (MST) Implemented with Dependent Decision Device (P3D)
Internet of Things (IoT) and Machine to Machine (M2M) frameworks needs a straightforward admittance to data through a consistent incorporation into the Future Internet. The mentioned integration leads to improper foundation and administrations by ...
Investigation of Slotted Ground and M-Shaped DGS in Enhancing MIMO Antenna Isolation
MIMO antennas, due to their compact size, are widely used for wireless applications. The isolation or mutual coupling (MC) between MIMO elements is still a research problem. The spacing between the elements will be minimized to accomplish system ...
Design and Implementation of Smart IoT System Based Bidirectional Converter
In recent years, with depletion of fossil fuel and exponential increase of power demand meeting the customer needs become a significant challenge for service providers. In this paper, Internet of Things (IoT) based bidirectional converter (BC) is ...
Classification of Load Balancing Optimization Algorithms in Cloud Computing: A Survey Based on Methodology
- Elaheh Moharamkhani,
- Reyhaneh Babaei Garmaroodi,
- Mehdi Darbandi,
- Arezu Selyari,
- Salim EI khediri,
- Mohammad Shokouhifar
In this paper, a modern classification of load balancing strategies in cloud computing is presented that can help researchers and practitioners to better understand and select the most appropriate algorithms for their specific needs. Our ...
Congestion Management Using K-Means for Mobile Edge Computing 5G System
The congestion management mechanism is essential to manage the explosive evolution of data traffic associated with advanced applications and services in the 5G system. As a result, we suggest a novel methodology to manage congestion for mobile ...
Energy Efficient TDMA and Secure Based MAC Protocol for WSN Using AQL Coding and ASGWI Clustering
This work presents a Secure and Energy Efficient TDMA based MAC Protocol in Wireless Sensor Networks. The presented technique is handled in the following stages. In the initial phase, adaptable step size grey wolf inspired (ASGWI) clustering ...
VLC-FBMC Enabled Optical Wireless Data Centers
The ever-growing demand for speed and bandwidth in data-centric applications necessitates innovative solutions to overcome existing bottlenecks. Traditional data centers reliant on electronic infrastructure often face limitations in speed. While ...
Dataset Generation for Gujarati Language Using Handwritten Character Images
In pattern recognition, the handwritten character recognition (HCR) is considered as the classical challenge. In particular, the benchmark dataset for HCR in the Gujarati language is limited. To overcome this challenge, a proper dataset is ...
Enhancing Smart Home Security Using Deep Convolutional Neural Networks and Multiple Cameras
With the increasing use of smart homes and IoT devices, security has become a significant concern. This paper presents a method to enhance smart home security using Deep Convolutional Neural Networks (DCNN) and multiple cameras. In this approach, ...
Research Progress on Security and Privacy of Federated Learning: A Survey
Federated Learning (FL) is an emerging distributed machine learning paradigm designed to resolve the conflict between data sharing and privacy. It allows each client device to train shared models locally and perform global model aggregation on ...
Vehicular Fog Computing: A Survey of Architectures, Resource Management, Challenges and Emerging Trends
In response to the rise of sophisticated vehicular applications, there has been a surge in demand for strong communication and processing capabilities low in latency. Since cloud computing cannot meet these requirements, the focus becomes turned ...
Classification of Different Plant Species Using Deep Learning and Machine Learning Algorithms
In the present situation, a lot of research has been directed towards the potency of plants. These natural resources contain characteristics valuable in combat against a number of diseases. But due to lack of familiarity of these plants among ...
Blockchain-as-a-Service for the Security Challenges and Solutions in the Internet of Things Environment
The Internet of Things and blockchain, as important technology foundations to enable Web 3.0, have greatly impacted the living and production patterns of people. When they meet together, blockchain services can be used to solve some IoT challenges ...
BCEWN: Design of a Hybrid Bioinspired Clustering Model for Deployment of Energy-Aware Wireless Networks
A low-power wireless network design is an iterative process that integrates multiple optimization techniques to identify and mitigate redundant network operations. Existing power-aware models either showcase higher complexity or require larger ...
Design and Development of Quad Port MIMO Antenna with Metamaterial for C, X, Ku, K, Ka Bands and 6G Applications
A four elements MIMO (Multiple Input Multiple Output) antenna with improved isolation and compact size of 32 × 32 × 0.8 mm3 is proposed for C, X, Ku, K & Ka bands applications. This antenna also covering a band proposed for 6G communication (7–20 ...
Implementation of Low Cost, Automated, Mobile Monitoring Module by Means of IoT for Container Gardening in Urban Areas
In the global context, food and resource utilization have been significant interests in the enduring sustainable production. Sri Lanka being a country where agricultural sector contributes significantly to its economy and it is very crucial to ...
A Symmetrical 32 × 1 and 16 × 1 Elements Antenna Array Failure Correction with Nulls Using Brain Storm Optimization
In an antenna array, the radiations characteristics may be disturbed by some failed elements out of total antenna elements that caused increase of side lobe level power and ultimately reduces the efficiency or performance of an antenna system. In ...
Sum Rate Maximization in STAR-RIS-Assisted Uplink AmBC-CR Networks with NOMA
In this paper, we investigate a network of backscatter devices (BDs) empowered with cognitive radio (CR) that uses non-orthogonal multiple access (NOMA) to communicate with the backscatter receiver. The presence of dual fading in backscatter ...
A Non-Radiative Wireless Power Transfer System for Medical Implant Deployment: An Experimental Validation
Wireless Power Transfer (WPT) systems employing magnetic resonance technology offer a compelling solution for providing seamless power delivery in scenarios where conventional electrical connections are impractical. This research focuses on ...
Improved Initial Alignment Algorithm of SINS on Shaking Base Based on Kalman Filter
In the initial alignment of shaking base, Kalman filter is easy to diverge, and the alignment result is poor. Many scholars introduce various nonlinear filtering methods to solve this problem, but these filtering methods not only have large amount ...
Low Cost Implementation of Authenticated Encryption Using Spongift
The security of information being transmitted through wireless communication is of vital importance. Authenticated encryption aims to provide security through the confidentiality, integrity, and authentication of data transmitted. Wireless sensor ...
System Modeling for Prognostic Reasoning and Insight Exploration of Arecanut Crop Using Data Analytics and Formal Statistical Approach
Agriculture is the primary source of income for the majority of the Indian farming community. Plantation crops play a significant part in improving the farmers' economic condition. The proposed work aims to develop a system model for prognostic ...
BUSA Deep Learning Model for EEG Signal Analysis
Depression, a debilitating mental illness, profoundly impacts an individual’s cognition, behaviour, and emotions. Despite efforts to quantify depression rates through electro-encephalo-gram (EEG) signal analysis, classification remains challenging ...
Blockchain-Enabled Federated Reinforcement Learning (B-FRL) Model for Privacy Preservation Service in IoT Systems
The rapid explosion of Internet of Things (IoT) devices has resulted in extraordinary data generation, necessitating advanced methods for data processing and privacy preservation. The IoT seeks to enable seamless communication between any object ...
Soft Computing Based Comparative Model for the Classification of Facial Expression Recognition
Classification is a significant step in many applications like image classifications, text recognition, categorization of speech, facial expression classification and so on. And the features fed to the classifier affects the accuracy or ...
Radio Resource Allocation Fairness in Cooperative Cognitive Radio Relay Networks
Imbalance and unfairness in resource allocation and utilization can lead to a degraded network environment where wireless network users experience poor quality of service (QoS) within the wireless networks. In multi-user wireless radio networks ...