Search
10 articles for “Cross-layer approach”
-
Power and Congestion Control for M.A.N.E.T using Cross-Layer Design for Future Technology
Abstract: AbstractRouting in M.A.N.E.T is challenging due to its navigation feature. The main causes of link failure are mobility, interference, and congestion. Mobility means that each node is free to move within its transport range. Interference occurs due to collision and hidden node. A hidden node means two nodes outside the radio range of each, simultaneously try to transfer data to an intermediate node, which lies in the radio range of …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 6, Issue 3, 2019 · pp. 1–12 Read article
-
Power and Congestion Control Analysis for MANET in NS3
Abstract: AbstractRouting to MANET is difficult due to the navigation feature. The main causes of connection failure are mobility, interference, and congestion. Mobility means that each node is free to move within its transport area. The interference is due to a collision and a hidden node. A hidden node means two nodes outside the radio frequency range of each one while trying to transmit data to an intermediate node located in …
Published in Journal of Microwave Engineering and Technologies · Vol. 6, Issue 3, 2019 · pp. 31–43 Read article
-
Chitosan-Based Polymer Coatings for Antimicrobial Catheter Surfaces
Abstract: Catheter-associated infections (CAIs) remain a major clinical challenge. Microbial adhesion and subsequent biofilm formation on catheter surfaces significantly reduce the effectiveness of antimicrobial therapy, resulting in prolonged hospitalization, increased healthcare costs, and higher patient morbidity. Consequently, the development of antimicrobial polymer coatings has emerged as an effective strategy for minimizing catheter-associated infections while improving device performance. Among the various biomaterials investigated, chitosan has attracted considerable attention owing to its intrinsic …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
-
Intelligent automated railway crossing gate control system
Abstract: The high incidence of accidents at railway level crossings due to human errors and lack of proactive track monitoring is a challenge for rail safety in high-density networks. This paper proposes the development and validation of an intelligent automated railway crossing system- IARCS that leverages sensor fusion and IoT communication to eliminate human dependency and mitigate intrusion risks. The core system deploys an Arduino Uno for the purpose of primary …
Published in Journal of Microcontroller Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 20–28 Read article
-
Security Challenges and Solutions in Wireless Sensor Networks: a Case study of Afghanistan
Abstract: Due to their capability to collect and relay data from locations without supervision, Wireless Sensor Networks (WSNs) have become essential for numerous contemporary applications (such as environmental monitoring, smart cities, and healthcare). However, the open and resource-constrained nature of WSNs makes them particularly vulnerable to security threats. This paper reviews the key security Issue faced by WSNs and the solutions proposed in recent literature. We examine the unique constraints of …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 1, 2026 · pp. 27–35 Read article
-
Claiming the City: How India’s Urban Spaces Exclude Women and How to Fix Them, A Case Study of New Delhi
Abstract: This paper analyses the layered risks, vulnerabilities, and everyday negotiations faced by women in open public spaces in diverse sites across India, with New Delhi as a representative and highly stratified urban case. It examines how specific Urban design competences, planning attitudes, and governance mechanisms have in the past resulted in exclusionary and not safe environments for women. Based on crime reports, government statistics, academic literature, and field-based observations, the …
Published in International Journal of Urban Design and Development · Vol. 4, Issue 1, 2026 · pp. 25–41 Read article
-
LoRa and LoRaWAN in the IoT: Performance, Challenges, and Future Opportunities
Abstract: This paper provides a broad overview of both LoRa and LoRaWAN technologies in the context of Internet of Things (IoT). The market need for communication technology to be low-power and long-range continues to grow, and LoRa and LoRaWAN are emerging as viable options for enabling widespread IoT applications in a variety of applications. This review offers structured and comparative assessment of their functionality in different environments, such as urban, rural, …
Published in International Journal of Wireless Security and Networks · Vol. 4, Issue 2, 2026 Read article
-
Phisherman: A Phishing Email Detection Browser Extension
Abstract: Phishing attacks continue to pose significant security risks, exploiting email as a primary vector to deceive users and compromise sensitive information. To counter these threats, Phisherman presents a sophisticated, real-time phishing detection system that integrates both rule-based methods and deep learning for heightened accuracy. Built as a cross-browser extension, compatible with Chrome, Firefox, and Edge through the WebExtension API, Phisherman combines traditional verification checks, such as DNS blacklisting, SPF, DKIM, …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 99–105 Read article
-
Influence of Horizontal Crossflow on the Rayleigh-Taylor Instability: A Numerical Approach
Abstract: Rayleigh-Taylor Instability (RTI) is a typical occurrence in natural events, engineering, and industrial applications. When the lighter fluid (bottom medium) is forcing the heavier fluid (top medium) on top of the lighter fluid because of a gravitational field, then that phenomenon is called Rayleigh-Taylor instability (RTI). Despite extensive records of investigating this common phenomenon i.e., RTI with several unique boundary conditions, apparently, there are no prior investigations for the RTI …
Published in Research & Reviews : Journal of Physics · Vol. 14, Issue 1, 2025 · pp. 1–11 Read article
-
Enzyme Stability Prediction using BERT and CNN-A Deep Learning Approach for Enhanced Biocatalysis
Abstract: An important factor in determining the efficacy of industrial enzymes used in various biotechnological applications is their stability. The goal of this study is to develop a predictive model for industrial enzyme stability, which is essential to the efficiency of these enzymes in biotechnological applications. The research takes a comprehensive strategy to comprehend the parameters affecting enzyme stability by combining statistical analysis, deep learning algorithms (BERT and CNN), and molecular …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 2, 2024 · pp. 19–35 Read article