Weather Forecasting using Machine Learning

2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON), Journal Year: 2023, Volume and Issue: unknown, P. 226 - 230

Published: Dec. 1, 2023

Weather forecasting is a critical task that requires an accurate and reliable method. The goal of weather to foresee future changes the atmosphere. Ground-based observations, ship-based airborne radio signals, Doppler radar, satellite data are all employed ascertain present atmospheric conditions. In recent years, machine learning (ML) techniques have shown great potential in Data analysis, including prediction. Through this paper, we represent comprehensive evaluation modern for using learning. We also propose new approach combines multiple ML upgrade perfection efficiency meteorological

Language: Английский

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Enhanced Energy-Aware Routing Protocol with Mobile Sink Optimization for Wireless Sensor Networks

Computer Networks, Journal Year: 2025, Volume and Issue: unknown, P. 111100 - 111100

Published: Feb. 1, 2025

Language: Английский

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Sine Cosine–Reptile Search–Based CH Selection and Optimized Routing in WSN‐Assisted IoT to Mitigate Hotspot Problem

International Journal of Communication Systems, Journal Year: 2025, Volume and Issue: 38(7)

Published: March 20, 2025

ABSTRACT Because of technological advances in the Internet Things (IoT), IoT surveillance applications powered by wireless sensor networks (WSN) play an important role spreading dangerous and nonhazardous data. When using such application, devices must connect multihop (Multi‐H) communication, which overloads relay nodes (RNs). This tends to cause hotspot problems becomes a major problem for network lifetime as RNs use their power more extensively. To address this issue, proposed study introduces novel hybrid‐optimized clustering–based routing protocol (HOC‐RP) issues WSN‐enabled IoT. The is distributed into numerous clusters fuzzy K‐medoid clustering model (Fuzz‐KMC). A new hybrid optimization recognized sine cosine–reptile search (SC‐RSO) algorithm employed optimal CH selection resolve WSN. In addition, enhanced gannet (EGOA) used define route effective data transmission. simulation HOC‐RP carried out Matlab platform, performance evaluated different evaluation metrics. As result, has obtained better 44,768 rounds scenario 1 44,721 2 than existing protocols.

Language: Английский

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Clustering for Lifetime Enhancement in Wireless Sensor Networks

Telecom, Journal Year: 2025, Volume and Issue: 6(2), P. 30 - 30

Published: May 7, 2025

Wireless sensor networks face challenges such as energy consumption, scalability, security vulnerabilities, and communication range limitations, impacting their overall performance reliability. To resolve these problems, energy-efficient protocols adaptive sleep modes are implemented in wireless (WSNs). Actually, LEACH clustering is widely regarded one of the primary strategies to extend lifetime WSNs. However, does not always guarantee optimal performance. In this paper, we demonstrate that effectiveness contingent on specific conditions related several key parameters, including cluster density distance nodes from base station. Our research presents a mathematically validated analysis, supported by simulation results, illustrates how can enhance WSN performance, particularly terms network lifetime, throughput, timing first, middle, last node deaths. findings indicate inefficient when within 80 m Furthermore, clusters’ densities directly Specifically, for distances less than m, should send data individually; between 83 123 two most effective; 149 increases three nodes.

Language: Английский

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Improving wireless sensor network lifespan with optimized clustering probabilities, improved residual energy LEACH and energy efficient LEACH for corner-positioned base stations

Heliyon, Journal Year: 2024, Volume and Issue: 10(14), P. e34382 - e34382

Published: July 1, 2024

The goal of this paper's novel energy-conscious routing method is to optimize energy usage and extend network lifespans using a new clustering probability. Versatile arrangements longer lifespan (until the last node dies) are achieved through cluster-based strategies. Existing algorithms, such as low adaptive hierarchy (LEACH), residual LEACH (RES-EL), distributed (DIS-RES-EL), have been compared newly proposed algorithms: improved (IMP-RES-EL) efficient (EEL). IMP-RES-EL EEL outperform all other stated algorithms by extending lifespan, enhancing stability, increasing number aggregated data packets transmitted from cluster heads base station (BS), selecting with efficiency optimal within network. approaches existing particularly when every corner-located BS considered in wireless sensor (WSN). rounds increased 36 %, 44 BSs 20 %. Extensive simulations on five distinct topologies were reviewed three techniques listed above, demonstrating superiority algorithms.

Language: Английский

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ZTSA: Zero Trust Security Architecture a Comprehensive Survey

Published: May 9, 2024

Language: Английский

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Deep Learning Approaches for Enhanced Audio Quality Through Noise Reduction

Published: May 9, 2024

Language: Английский

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UX/UI - Companion App Using Data Science

2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON), Journal Year: 2023, Volume and Issue: unknown, P. 231 - 234

Published: Dec. 1, 2023

Heart disease and stroke are on the rise worldwide, even among children. To avoid early stroke, prediction process must be completed for detection of symptoms. Predicting is a complex task that requires detailed prior knowledge. The plan to predict heart attacks using data from Kaggle. A predictive model estimates person's risk based factors such as age, gender, diabetes, smoking, body weight, occupation, location. It classifies various machine learning techniques Random Forest, Decision Trees, Naive Bayes, Support Vector Machines(SVM), Logistic Regression, K Nearest Neighbors (KNN) were employed assessed identify most effective algorithm. Upon analysis, Trees algorithm emerged optimal method, exhibiting unparalleled accuracy at rate 100%.

Language: Английский

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Enhancing Wireless Sensor Network Lifespan with Optimized Clustering Probabilities, Improved Residual Energy LEACH and Energy Efficient LEACH for Corner-Positioned Base Stations

Published: Jan. 1, 2024

The goal of this paper's novel energy-conscious routing method is to optimize energy usage and extend network lifespans using a new clustering probability. Versatile arrangements longer lifespan (until the last node die) are achieved through cluster-based strategies. Existing algorithms, such as low adaptive hierarchy (LEACH), residual LEACH (RES-EL), distributed (DIS-RES-EL), have been compared newly proposed algorithms: improved (IMP-RES-EL) efficient (EEL). IMP-RES-EL EEL outperform all other stated algorithms by extending lifespan, enhancing stability, increasing number aggregated data packets transmitted from cluster heads base station, selecting with efficiency optimal within network. approaches existing particularly when every corner-located station (BS) considered in wireless sensor (WSN). rounds increased 36%, 44%, stations 20%. Extensive simulations on five distinct topologies were reviewed three techniques listed above, demonstrating superiority algorithms.

Language: Английский

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Optimized Cluster Routing Protocol With Energy-Sustainable Mechanisms for Wireless Sensor Networks

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 99661 - 99671

Published: Jan. 1, 2024

Clustering algorithms have a key role in decreasing energy consumption and increasing network longevity wireless sensor networks. This work advances on previous homogeneous heterogeneous algorithms, including low-energy adaptive clustering hierarchical routing protocol (LEACH), distributed residual LEACH (DIS-RES-EL), (RES-EL), efficient (EEL), stable election (SEP), by introducing novel methodologies. It introduces improved (IMP-RES-EL) (EE-SEP) to improve the efficiency of savings for The simulation result shows that, addition prolonging lifetime optimal routing, these methods transported more data packets from cluster nodes then base stations than other techniques. When compared proposed energy-efficient influences number bunch heads formed over their lifetime, organization's stability, shipped off station each head, overall lifetime. comparing two current EE-SEP LEACH, various topologies, findings demonstrate that is most directing convention extending previously described qualities. attribute has not been discussed thus far. results also show IMP-RES-EL algorithm successfully increases lifespan while minimizing dissipation transmissions between or (CHs). For all suggested rounds rose 36%, aggregated CHs BS increased 44%, total BSs 20%.

Language: Английский

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