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557 articles for “Network”
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Design of Wireless Sensor Network (WSN) for Underwater Communication–survey
Abstract: ABSTRACTGenerally, we know that Communication field occupy most of the applications in the world. And also, we know the fact that ¾th part of the earth’s surface is covered by the water. Thus in order to utilize our natural resources still more efficiently, we made a survey on underwater communication. Communication and monitoring of underwater environment have been long standing challenges in a vast range of applications that are enabled …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 5, Issue 2, 2019 · pp. 32–35 Read article
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Performance Analysis of Hybrid Signal Processing Methods in Modern Communication Networks
Abstract: Modern communication networks require high-speed, reliable, and energy-efficient signal transmission for applications such as wireless communication, satellite systems, Internet of Things (IoT), smart healthcare, and next-generation 5G/6G networks. Traditional signal processing techniques often face limitations in dynamic communication environments due to interference, noise, latency, and bandwidth constraints. Hybrid signal processing methods combine multiple techniques including analog-digital processing, adaptive filtering, beamforming, machine learning, and intelligent optimization to enhance communication performance and …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 22–35 Read article
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A Review on Cognitive Radio Sensor Networks for Internet of Things
Abstract: Cognitive radio sensor networks (CRSNs) can effectively manage communication through clustering. This paper examines Internet of Things Cognitive Radio Sensor Networks. An important step towards a world of smart technology is the Internet of Things (IoT) system based on Cognitive Radio (CR). Many frameworks for creating CR-based IoT systems have been put forth. IoT frameworks based on CR are the main topic of the survey. One possible approach to improving …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 · pp. 29–33 Read article
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A Review on Cognitive Radio Sensor Networks for Internet of Things
Abstract: Cognitive radio sensor networks (CRSNs) can effectively manage communication through clustering. This paper examines Internet of Things Cognitive Radio Sensor Networks. An important step towards a world of smart technology is the Internet of Things (IoT) system based on Cognitive Radio (CR). Many frameworks for creating CR-based IoT systems have been put forth. IoT frameworks based on CR are the main topic of the survey. One possible approach to improving …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 · pp. 30–34 Read article
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Adaptive Clustering Strategies for 5G-IoT Wireless Sensor Networks: Insights into Neuro-Fuzzy Approaches
Abstract: The new cellular network standard is 5G. The Internet of Things, or IoT, is growing and changing quickly. Massive cellular bandwidth increases brought about by 5G make it much simpler for the Internet of Things to connect many devices. Current LTE networks will be ten times slower than 5G. This increase in speed will allow IoT devices to communicate and share data faster than ever. In this research, we have …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 1, 2025 · pp. 33–55 Read article
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Network Intrusion Detection Using Wireshark and Machine Learning
Abstract: The growth of networked devices has highlighted the desire for advanced intrusion detection (IDS) tools to protect digital systems from evolving cyber threats. Traditional IDS systems are often difficult to adapt to the threat environment because they rely on predefined signature lists. This study presents a new approach that combines Wireshark, a widely used network packet analysis tool, with advanced machine learning for intrusion detection. Our system leverages Wireshark's data …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 10, Issue 1, 2024 · pp. 23–31 Read article
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Implementation of Energy Efficient Protocol in Wireless sensor Network
Abstract: Wireless sensor network (WSNs) are network of sensor nodes one of current concerns is developing a stable clustered heterogeneous protocol prolonging the network lifetime with minimum consumption of battery power. In the recent times, many routing protocols have been proposed increasing the network lifetime, stability in short advising a reliable and robust routing protocol. In this paper we examine the impact of hierarchical clustered network with sensor nodes of two-level …
Published in International Journal of Analog Integrated Circuits · Vol. 6, Issue 2, 2020 · pp. 21–29 Read article
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Design and Assessment of Energy Efficient Improved LEACH Protocol for Wireless Sensor Network
Abstract: The recognition of wireless sensor networks has increased enormously due to the enormous possibility of the sensor networks to connect the physical world with the virtual world. While these devices rely on battery power and may be placed in unfriendly environments replacing them becomes a tedious task. Therefore, improving the energy of these networks becomes essential. This work provides methods for clustering and cluster head selection to WSN to improve …
Published in International Journal of Analog Integrated Circuits · Vol. 6, Issue 2, 2020 · pp. 30–37 Read article
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Network Security and Cryptography
Abstract: Its end is to offer a comprehensive review of network security and cryptography, with a particular focus on Steganography. Network security and cryptography encompass a vast and complex field that involves securing digital information and furnishing security services. In this paper, we aim to give a general overview of network security and cryptography and bandy various encryption algorithms. In the moment's digital age, the appearance of web-commerce platforms, and social …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 9, Issue 2, 2023 · pp. 16–28 Read article
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A Comprehensive Study On Optimization Of Neural Networks And Global Minimization
Abstract: The neural network toolbox is one of the commonly used, powerful, commercially available software tools for the constructing new networks and forms a inter linkage between each other. The software is user-friendly, permits flexibility and convenience in interfacing with other toolboxes in the same environment to develop a full application the wide range of applications and has a wide range of scope in making models with linear and non-linear functionalities …
Published in International Journal of Manufacturing and Materials Processing · Vol. 2, Issue 1, 2016 · pp. 11–18 Read article
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Application of Artificial Neuron Network in roughness prediction: A case study in turning of stainless steel
Abstract: - Artificial neural networks offer a practical and efficient way to choose the best machining parameters for the turning process in order to reduce surface roughness, the resulting cutting forces, and maximize tool life. Surface roughness is a significant aspect in the evaluation of cutting performance and plays a significant role in the manufacturing process. The goal of this project is to create a model based on an Artificial Neural …
Published in International Journal of Computer Aided Manufacturing · Vol. 8, Issue 1, 2022 · pp. 21–26 Read article
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Deep Learning Techniques for Optimizing Resource Allocation and Sustainability in the Next Generation of 6G Wireless Networks
Abstract: The upcoming sixth generation (6G) of wireless communication networks aims to meet challenging requirements such as ultra-reliable low-latency services, massive connectivity for billions of smart devices, and intelligent automation across highly diverse environments. Along with these goals, the issues of energy efficiency and environmental sustainability are becoming equally important, as the rising number of users and traffic volumes will directly increase power demand and carbon emissions. To lower total energy …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 Read article
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Investigation of FSO Communication System Using Various Neural Networks
Abstract: A prospective method for high-speed data transfer via light propagation in free space, such as between buildings, satellites, or metropolitan areas, is Free Space Optics (FSO) communication. FSO systems have great promises, but their performance can be severely hampered by atmospheric disturbances. Problems like fog, rain, and turbulence cause the optical signal to be absorbed and scattered, increasing BER. To address these challenges, various Neural Network (NN) techniques such as …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 · pp. 12–20 Read article
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Character Recognition with Neural Network
Abstract: In this project artificial neural network has been called for its application as characters recognizing network. The network is made to learn as per the requirement by training them with some specific patterns that corresponds to the character. The number of input and output layer neurons is chosen. The training patterns and testing patterns are designed using matrices 0’s and 1’s.The weights in the network are adjusted using back propagation …
Published in International Journal of Software Computing and Testing · Vol. 3, Issue 2, 2017 · pp. 32–37 Read article
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Congestion Control by Transmission power in Ad-Hoc Network using Fuzzy Logic
Abstract: As a result of the growth in communication technologies, mobile ad hoc network boosting its capability in terms of ad hoc communication between the mobile nodes. The mobile ad hoc networks do not have any predefined infrastructure so the mobile nodes which want to communicate with each other immediately form the network topology and initiates the request for data packets to transmit or receive. But in mobile ad hoc networks …
Published in International Journal of Broadband Cellular Communication · Vol. 2, Issue 2, 2016 · pp. 27–34 Read article
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Fuzzy Basis based Network Model
Abstract: ABSTRACT Fuzzy basis is applied to develop a new network model. This network model performs compactly, efficiently and securely. The new protocol is proposed in this paper. This protocol lies with the said advantages. The formulation of the network comprises with the group theory and its generalization based on the fuzzy classification. The fuzzy basis follows the subgroup properties over the divisibility theory. The proposed model achieves the said goals …
Published in International Journal of Digital Communication and Analog Signals · Vol. 5, Issue 1, 2019 · pp. 8–12 Read article
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NEURAL NETWORK APPROACH FOR PROCESSING SUBSTATION ALARMS
Abstract: This paper studies the method of processing of alarms in an electric substation using artificial neural networks (ANN) as a tool. Whenever there is a fault in the power system, or there is a significant change in the network, alarms are issued to the substation operators, with each alarm being associated with a message. This is the driving force for research and experiments regarding innovations of more sophisticated methods of …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 1, Issue 1, 2015 · pp. 21–28 Read article
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Communication Channel Model between Two Neighbors in UAV Networks
Abstract: Unmanned Aerial Vehicle "UAV" networking is evolving as a major state of the art research field, thanks to the foreseen revolution in its applications. Enhancing the performance of such networks requires developing a channel model between any couple of neighbors within the UAV network. In this paper, we present a statistical signal reception model for the shadowed communication channel between two neighbors in a UAV network. In this model, we …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 1, Issue 2, 2015 · pp. 11–27 Read article
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Issues and Challenges in Using Metro Network for WorkCommute in Pune & PCMC Area: A Study Towards Sustainable Urban Mobility
Abstract: Urban mobility within Pune and PCMC has rapidly transformed due to fast- growing urbanisation and ongoing metro network development project. Though the metro is envisioned as a sustainable mass transit system to reduce traffic congestion, fuel consumption, and environmental impacts, its network pattern are creating challenges for daily work commutes. Both metro network connectivity and existing public transport networks affect commuting efficiency and travel choices. In several metro corridors, these …
Published in International Journal of Landscape Planning and Architecture · Vol. 12, Issue 2, 2026 Read article
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Autonomous Multi-Agent Sensor Network for Distributed Environmental Instrumentation
Abstract: Environmental monitoring requires intelligent, scalable, and autonomous instrumentation systems capable of continuously sensing, processing, and communicating heterogeneous data under dynamic conditions. This study proposes an Autonomous Multi-Agent Sensor Network for Distributed Environmental Instrumentation, integrating distributed sensor nodes, edge computing, multi-agent collaboration, adaptive data fusion, and intelligent decision-making to achieve reliable real-time monitoring of environmental parameters. Each sensor agent autonomously performs local sensing, anomaly detection, energy-aware communication, and cooperative information exchange …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 2, 2026 Read article