HOSNA: Boosting Smart Agriculture Efficiency With The Hybrid Optimization-Based Sensor Node Activation Model

Journal of Machine and Computing, Journal Year: 2025, Volume and Issue: unknown, P. 509 - 522

Published: Jan. 3, 2025

Smart agriculture leverages Wireless Sensor Networks (WSNs) to monitor environmental parameters such as soil moisture, temperature, and humidity, enabling precision farming efficient resource utilization. The Hybrid Optimization-Based Node Activation (HOSNA) model designed enhance the efficiency lifespan of (WSN) in smart applications. HOSNA integrates clustering, energy-efficient activation, hybrid optimization algorithms, machine learning optimize sensor node operations while ensuring accurate real-time monitoring. employs Genetic Algorithm (GA) Particle Swarm Optimization (PSO) determine optimal activation schedules, reducing energy consumption prolonging network lifetime. Additionally, a Long Short-Term Memory (LSTM) neural predicts changes, allowing proactive activation. Simulation results demonstrate that achieves 94.0% data accuracy after 1000 operational rounds, surpassing LEACH (90.0%), PEGASIS (86.0%), Random Duty Cycling (RDC) (70.0%). Energy reduced by 24% compared LEACH, lifetime extended 32% over PEGASIS. These highlight HOSNA’s ability provide reliable, energy-efficient, scalable solutions for agriculture. Future improvements could involve adapting heterogeneous networks integrating solar-powered nodes sustainable energy.

Language: Английский

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Energy-efficient synchronization for body sensor network in the metaverse: an optimized connectivity approach

EURASIP Journal on Wireless Communications and Networking, Journal Year: 2025, Volume and Issue: 2025(1)

Published: Feb. 18, 2025

Wireless body sensor networks (WBSNs), or wireless area (WBANs), represent an advanced class of where small nodes are either implanted within attached to the human body. When these integrated with Internet Things (IoT) in healthcare sector, they collectively referred as Medical (IoMT). Body (BSNs) have become a pivotal technology modern systems, enabling continuous and real-time monitoring critical patient health metrics such blood pressure, heart rate, temperature, motion, movement. WBSNs face numerous major challenges that impact their efficiency performance. Energy consumption remains issue, operate on limited power sources, leading reduced network longevity. Signal path loss, caused by interference environmental factors, weakens communication reliability. Additionally, dual synchronization is vital for maintaining seamless communication, but managing between multiple increases complexity energy demand. Data latency can occur due transmission delays, impacting monitoring. Scalability arise expand, straining resources, while security privacy concerns persist sensitive nature medical data, requiring robust protection mechanisms. These issues focus ongoing research aimed at enhancing WBSN performance applications. In this paper, we introduce novel routing protocol, energy-efficient (EESBSN), overcoming challenges. The proposed EESBSN protocol incorporates mechanism designed minimize signal loss prevent rapid depletion nodes. Furthermore, it leverages multi-path strategies optimize extend operational life span network. By utilizing intelligent transponder node selection, ensures even distribution across network, thereby its overall stability. Simulation results demonstrate significantly outperforms existing protocols CRPBA, H-SAMER, HCEL, SEBA, WHOOPH, TSFIS-GWO terms stability findings highlight potential enhance effectiveness reliability BSN-based systems.

Language: Английский

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Comprehensive Review on Routing Protocols for Wireless Body Area Networks

International Journal of Mathematical Engineering and Management Sciences, Journal Year: 2025, Volume and Issue: 10(4), P. 797 - 855

Published: April 18, 2025

In today's era, the deployment of wearable and implantable devices sensor nodes is expanding, giving rise to new research directions in Wireless Body Area Networks (WBANs) address various challenges such as efficient routing, security, interoperability, power consumption, energy optimization, fault-tolerance, reliable communication, etc. Among all challenges, routing one most important factors that needs consideration for data transmission. With use (on-body) or implanted (in-body) sensors, WBANs are utilized e-healthcare systems retrieve physiological parameters from human body, systematically route them a remote server. High network performance effective communication depend on protocol's design. Consequently, primary objective this work provide comprehensive taxonomy advanced protocols used WBANs. This review paper discusses different WBAN recent years, reported 2019 2024. The categories related addressed while highlighting their objectives, problem specifications, advantages, disadvantages, simulation tools, metrics. These evaluated compared terms like energy, congestion control, priority, scalability, latency, Packet Delivery Ratio (PDR), node temperature, lifetime, throughput, path loss, Finally, gaps summarized reviewed protocols, future aspects discussed.

Language: Английский

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Energy-efficient and thermal-aware routing protocol for wireless body area networks based on ant colony optimization

Computing, Journal Year: 2025, Volume and Issue: 107(5)

Published: April 22, 2025

Language: Английский

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An Efficient Game Theory based Multi-objective Decision and Clustering (EGMDC) for Wireless Body Area Networks (WBANs)

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 163198 - 163223

Published: Jan. 1, 2024

Language: Английский

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