The Predicting Water Interference in Wireless Networks Through Path Loss Modeling DOI
Tarun M. Kapoor

Published: Dec. 29, 2023

To account for the effects of surface water reflection and building diffraction on LOS NLOS transmission in UWSN spectrum urban water-land settings, this research presents a route loss model. Extensive measurements are taken at 28 GHz pond university campus. We also do thorough analysis other channel characteristics, not only power delay profiles rootmean-square spread. Results show that networks may be reliably predicted using suggested This might utilized to better install wireless land environments.

Language: Английский

Advancements in Neighboring-Based Energy-Efficient Routing Protocol (NBEER) for Underwater Wireless Sensor Networks DOI Creative Commons

Sayyed Mudassar Shah,

Zhaoyun Sun, Khalid Zaman

et al.

Sensors, Journal Year: 2023, Volume and Issue: 23(13), P. 6025 - 6025

Published: June 29, 2023

Underwater wireless sensor networks (UWSNs) have gained prominence in technology, featuring resource-limited nodes deployed challenging underwater environments. To address challenges like power consumption, network lifetime, node deployment, topology, and propagation delays, cooperative transmission protocols co-operative (Co-UWSN) energy-efficient routing (CEER) been proposed. These utilize broadcast capabilities neighbor head (NHN) selection for routing. This research introduces NBEER, a novel neighbor-based protocol tailored UWSNs. NBEER aims to surpass the limitations of Co-UWSN CEER by optimizing NHNS mechanisms achieve load balancing enhance performance. Through comprehensive MATLAB simulations, we evaluated against CEER, demonstrating its superior performance across various metrics. significantly maximizes end-to-end delay, reduces energy improves packet delivery ratio, extends enhances total received packets analysis compared existing protocols.

Language: Английский

Citations

39

A Cluster-Based Energy-Efficient Secure Optimal Path-Routing Protocol for Wireless Body-Area Sensor Networks DOI Creative Commons

D. Ruby,

Manikandan Narayanan,

Gayathri Ananthakrishnan

et al.

Sensors, Journal Year: 2023, Volume and Issue: 23(14), P. 6274 - 6274

Published: July 10, 2023

Recently, research into Wireless Body-Area Sensor Networks (WBASN) or (WBAN) has gained much importance in medical applications, and now plays a significant role patient monitoring. Among the various operations, routing is still recognized as resource-intensive activity. As result, designing an energy-efficient system for WBAN critical. The existing algorithms focus more on energy efficiency than security. However, security attacks will lead to consumption, which reduce overall network performance. To handle issues of reliability, efficiency, WBAN, new cluster-based secure protocol called Secure Optimal Path-Routing (SOPR) been proposed this paper. This algorithm provides by identifying avoiding black-hole one side, sending data packets encrypted form other side strengthen communication WBANs. main advantages implementing include improved performance increasing packet-delivery ratio reducing attack-detection overheads, detection time, delay.

Language: Английский

Citations

23

Selection of a smart and secure education school system based on the internet of things using entropy and TOPSIS approaches DOI Creative Commons
Habib Ullah Khan, Muhammad Zahid Abbas, Omar Alruwaili

et al.

Computers in Human Behavior, Journal Year: 2024, Volume and Issue: 159, P. 108346 - 108346

Published: June 21, 2024

The Internet of Things (IoT) is playing an important role in the development cars, smart homes and schools. Schools are using IoT technology to enhance student learning, digitize traditional learning improve academic performance. rapidly replacing school system with a modern, safe system. Several modern education systems presented literature. difficulty choosing while evaluating respective merits different has long been concern for educators. In this study we proposed hybrid multi-criteria decision-making method (MCDM) address selection Problem. To rank evaluate value required parameter, two MCDM-based methods used: Entropy TOPSIS (Technique Preference Ordering by Similarity Ideal Solution). Twelve beneficial features were considered that represent fundamental positive characteristics create intelligent Ten educational as alternatives order carry out evaluation. used measure importance each criterion systems. paper, propose how concepts can be challenge selecting based on IoT. Our investigation selected IoT-based was found smartest safest set Finally, discuss evaluation research.

Language: Английский

Citations

7

Energy-efficient aware and predicting bandwidth estimation routing protocol for hybrid communication in wireless body area networks DOI
Ako Muhammad Abdullah

Cluster Computing, Journal Year: 2024, Volume and Issue: 27(4), P. 4187 - 4206

Published: Feb. 7, 2024

Language: Английский

Citations

6

CR-NBEER: Cooperative-Relay Neighboring-Based Energy Efficient Routing Protocol for Marine Underwater Sensor Networks DOI Creative Commons
Altaf Hussain, Tariq Hussain, Inam Ullah

et al.

Journal of Marine Science and Engineering, Journal Year: 2023, Volume and Issue: 11(7), P. 1474 - 1474

Published: July 24, 2023

This paper proposes a Cooperative-Relay Neighboring-Based Energy-Efficient Routing (CR-NBEER) protocol with advanced relay optimization for MUSN. The utilization of the nodes, among all other sensor makes it possible to achieve node-to-node deployment. proposed method focuses only on cooperation and schemes. Both schemes have previously been implemented, thus represents extended version (NBEER) protocol. Path loss, end-to-end delay, packet delivery ratio, energy consumption parameters were considered as part performance evaluation. average was revealed based simulations, where overall EED Co-UWSN measured be 35.5 ms, CEER 26.7 NBEER 27.6 CR-NBEER 19.3 ms. Similarly, EC 10.759 j, 8.694 8.309 7.644 j. PDR calculated 79.227%, 66.73.464%, 85.82%, 94.831%. PL at 137.5 dB, 230 173.8 79.9 dB. Based simulations evaluations, observed that scheme outperformed previous

Language: Английский

Citations

12

Faster RCNN based robust vehicle detection algorithm for identifying and classifying vehicles DOI Creative Commons
Md Khorshed Alam, Asif Ahmed, Rania Salih

et al.

Journal of Real-Time Image Processing, Journal Year: 2023, Volume and Issue: 20(5)

Published: July 30, 2023

Abstract Deep convolutional neural networks (CNNs) have shown tremendous success in the detection of objects and vehicles recent years. However, when using CNNs to identify real-time vehicle a moving context remains difficult. Many obscured truncated cars, as well huge scale fluctuations traffic photos, provide these issues. To improve performance findings, we used multiscale feature maps from CNN or input pictures with numerous resolutions adapt base network match different scales. This research presents an enhanced framework depending on Faster R-CNN for rapid recognition which better accuracy fast processing time. Research results our custom dataset indicate that recommended methodology performed terms efficiency time, especially comparison earlier age models.

Language: Английский

Citations

12

Energy-efficient synchronization for body sensor network in the metaverse: an optimized connectivity approach DOI Creative Commons
Altaf Hussain, Tariq Hussain, Razaz Waheeb Attar

et al.

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

Citations

0

Comprehensive Review on Routing Protocols for Wireless Body Area Networks DOI

Swati Goel,

Kalpna Guleria, Surya Narayan Panda

et al.

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

Citations

0

Energy aware clustering and routing using cauchy operator based gorilla troops optimization for WBAN DOI

SankaraSrinivasaRao Illapu,

Padmaja Malarowthu,

Aswini Mula

et al.

Computers & Electrical Engineering, Journal Year: 2025, Volume and Issue: 124, P. 110408 - 110408

Published: May 1, 2025

Language: Английский

Citations

0

WBNN: a weight-based next neighbor selection algorithm for wireless body area network DOI

Yuejuan Jing,

Han Peng,

Zhouzhou Liu

et al.

Soft Computing, Journal Year: 2023, Volume and Issue: 28(2), P. 1803 - 1818

Published: Dec. 27, 2023

Language: Английский

Citations

4