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Enhancement in Reliability of ieee 802.15.4 WBAN Using Greedy Spider Monkey Algorithm

international JOURNAL OF networkED AND DISTRIBUTED computing 2025年第1期13卷 1-12页

作者： Pandey, Umashankar Chandra, Saroj Kumar Dewangan, Narendra Kumar OP Jindal Univ Raigarh Dept Comp Sci & Engn Raigarh 496005 Chhattisgarh India UPES Dehradun Sch Comp Sci Dehra Dun 248007 Uttaranchal India

Wireless Body Area networks (WBANs) hold immense potential in healthcare monitoring, but ensuring reliable data transmission is crucial. While the ieee 802.15.4 standard offers low-power operation and basic security, its Contention-Based Access (CBA) mechanism can lead to packet collisions and reduced reliability, especially in congested scenarios. This paper proposes a novel approach to enhance reliability in 802.15.4 WBANs by incorporating a Greedy Spider Monkey Optimization Algorithm (GSMA). The GSMA mimics the intelligent foraging behaviour of spider monkeys, enabling dynamic channel selection and optimal transmission scheduling. Our approach aims to minimize packet collisions by selecting channels with lower traffic based on historical data and real-time network conditions;the GSMA reduces the likelihood of collisions and data loss. Secondly, the algorithm prioritizes critical data packets based on their urgency and channel availability, ensuring the timely delivery of essential medical information. Finally, by reducing collisions and optimizing scheduling, the GSMA helps maintain efficient data flow within the WBAN. This paper presents the design and implementation of the GSMA-based approach within the 802.15.4 framework. Simulation results are presented to evaluate the effectiveness of the proposed method in improving reliability, reducing packet loss, and enhancing overall network performance in WBANs. The findings demonstrate the potential of the GSMA to address the limitations of 802.15.4 and contribute to developing more reliable and efficient WBAN solutions for healthcare applications.

关键词： GTS Reliability Greedy spider monkey optimization Algorithm ieee 802.15.4

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A Priori Loop Nest Normalization: Automatic Loop Scheduling in Complex applications 25

A Priori Loop Nest Normalization: Automatic Loop Scheduling ...

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23rd ACM/ieee international symposium on Code Generation and Optimization, CGO 2025

作者： Trümper, Lukas Schaad, Philipp Ates, Berke Calotoiu, Alexandru Copik, Marcin Hoefler, Torsten Daisytuner Darmstadt Germany ETH Zurich Zurich Switzerland

ISBN: (纸本)9798400712753

The same computations are often expressed differently across software projects and programming languages. In particular, how computations involving loops are expressed varies due to the many possibilities to permute and compose loops. Since each variant may have unique performance properties, automatic approaches to loop scheduling must support many different optimization recipes. In this paper, we propose a priori loop nest normalization to align loop nests and reduce the variation before the optimization. Specifically, we define and apply normalization criteria, mapping loop nests with different memory access patterns to the same canonical form. Since the memory access pattern is susceptible to loop variations and critical for performance, this normalization allows many loop nests to be optimized by the same optimization recipe. To evaluate our approach, we apply the normalization with optimizations designed for only the canonical form, improving the performance of many different loop nest variants. Across multiple implementations of 15 benchmarks using different languages, we outperform a baseline compiler in C on average by a factor of 21.13, state-of-the-art auto-schedulers such as Polly and the Tiramisu auto-scheduler by 2.31 and 2.89, as well as performance-oriented Python-based frameworks such as NumPy, Numba, and DaCe by 9.04, 3.92, and 1.47. Furthermore, we apply the concept to the CLOUDSC cloud microphysics scheme, an actively used component of the Integrated Forecasting System, achieving a 10% speedup over the highly-tuned Fortran code. © 2025 Copyright held by the owner/author(s).

关键词： Program compilers

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Security Considerations for 5G network Slicing 21st

Security Considerations for 5G Network Slicing

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21st international symposium on Distributed computing and Artificial Intelligence, DCAI 2024

作者： Aguilar-Mora, Carlos D. Merino-Vivanco, Rodolfo P. Universidad Nacional de Loja Av. Pío Jaramillo Alvarado Loja Ecuador Centro de Investigación Innovación Desarrollo de Prototipos Tecnológicos y Pruebas Electroenergéticas I2TEC Universidad Nacional de Loja Av. Pío Jaramillo Alvarado Loja Ecuador

ISBN: (纸本)9783031809453

5G network slicing is an emerging technology that enables the sharing of physical resources for various purposes, used in multiple sectors, such as robotics, medicine, agriculture, mining, media, as well as applications such as IoT, Industry 4.0, among others. This article presents an overview of the potential security threats in the field of network Slicing, the components that make up its physical infrastructure (RAN, CORE, and transport network slicing), as well as its lifecycle, which consists of the preparation, commissioning, operation, and decommissioning phases. Due to the risk of denial-of-service (DoS) attacks, misconfiguration attacks and man-in-the-middle (MITM) attacks, it is of paramount interest to propose and apply artificial intelligence-based frameworks as the main proposal to mitigate the impact of the constant threats that the 5G network could have. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： 5G mobile communication systems

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Analysis of optimization Techniques for Dynamic Neural networks 3

Analysis of optimization Techniques for Dynamic Neural Netwo...

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3rd international Conference on Intelligent and Innovative Technologies in computing, Electrical and Electronics, IITCEE 2025

作者： Mallegowda, M. Nair, Saanvi Khirwal, Sahil Animesh, Manik Mishra, Vasuman Kanavalli, Anita Ms Ramaiah Institute of Technology Department of Computer Science and Engineering Bengaluru India Ramaiah Institute of Technology Dept. of Cse Bengaluru India

ISBN: (纸本)9798331515911

Models based on dynamic neural networks such as DeBERTa and Vision Transformers ViT have disrupted the two fields. However, there is one complication - their performance requires so much computation which limits its realistic applications. The aim of this study is to propose advanced optimization techniques that can increase the efficiency of these models without compromising their performance. We adopt approaches such as DistilBERT, DeBERTa and Vision Transformer models. Then we carry out detailed empirical analysis of the consequences of these techniques on the model accuracy, time performance, throughput as well as resources consumption. The findings show enhancement models, where some methods improved the throughput by 29% and reduced the GPU usage by 61% at the same or higher accuracy. This reveals the capacity of dynamic neural networks in resource-constrained settings and enhances the overall vision of the use of such models in practice. © 2025 ieee.

关键词： Neural network models

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Comparison of an Equivalent Circuit and Data Driven Battery Model for EV applications

Comparison of an Equivalent Circuit and Data Driven Battery ...

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2025 international Conference on Intelligent Control, computing and Communications, IC3 2025

作者： Bedwal, Kavita Moulik, Bedatri Amity Institute of technology Amity University Uttar Pradesh Uttar Pradesh Noida India

ISBN: (纸本)9798331527495

Both electric and hybrid vehicles (HEVs and EVs) employ high-voltage battery packs, so a robust and dependable battery management system (BMS) is necessary to ensure a vehicle's safe and dependable operation. For proper functioning of the BMS, battery state estimation is a key challenge. This paper presents an equivalent circuit and a data driven model, evaluating and contrasting their appropriateness in terms of accuracy as compared to an experimental battery. Furthermore, the state of charge (SOC) of battery is estimated, first with the help of the 2RC equivalent circuit model (ECM), then with the help of an artificial neural network (ANN). A pulsed discharge test is carried out and the SOC and voltage values are noted. The parameters of the 2RC model are tuned for improving the accuracy. The model with different parameters is compared with an experimental battery. With the data driven model, a better accuracy is achieved in comparison with experimental data. With the ANN the mean square error (MSE) of 0.8715% is achieved, whereas with the ECM an MSE of 2.87% is achieved. © 2025 ieee.

关键词： Lithium-ion batteries

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Implementation of RFID System for Industrial applications 24

Implementation of RFID System for Industrial Applications

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24th international symposium INFOTEH-JAHORINA, INFOTEH 2025

作者： Todorov, Todor Tonkov, Valentin St. Cyril and St. Methodius University of Veliko Tarnovo Bulgaria Bulgarian Academy of Sciences Institute of Mathematics and Informatics Sofia Bulgaria St. Cyril and St. Methodius University of Veliko Tarnovo Veliko Tarnovo Bulgaria

ISBN: (纸本)9798331515799

The industrial sector increasingly relies on innovative technologies to optimize workflows and improve traceability. The paper presents the development of an Ultra-High Frequency (UHF) RFID-based system designed for seamless tracking and management of physical objects in industrial environments. The proposed device reads RFID tags, collects supplementary data, and transmits it to a central server for integration into the company's digital systems. The system was implemented in a grain processing company, where it demonstrated high reliability, adaptability, and operational benefits. By automating tasks like inventory tracking and production monitoring, the RFID system streamlined processes, minimized errors, and provided real-time insights. Additionally, the flexibility of the device's configuration and its integration with existing systems underscore its scalability for various industrial applications. © 2025 ieee.

关键词： automation industrial applications Internet of Things(IoT) RFID

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Case study of performance degradation on the Xen hypervisor-based virtualization related to the native host 24

Case study of performance degradation on the Xen hypervisor-...

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24th international symposium INFOTEH-JAHORINA, INFOTEH 2025

作者： Dordević, Borislav Janjić, Kristina Kraljević, Nenad Davidović, Nikola Institute Mihailo Pupin Belgrade Serbia Academy of Technical and Art Applied Studies School of Electrical and Computing Engineering of Applied Studies Belgrade Serbia University of East Sarajevo Faculty of Electrical Engineering East Sarajevo Bosnia and Herzegovina School of Electrical and Computing Engineering of Applied Studies Belgrade Serbia

ISBN: (纸本)9798331515799

This paper conducts a comparative analysis of file system performance between a native operating system and Xen hypervisor-based virtualization. The study uses CentOS Stream 9 as both the native and guest operating system and employs Filebench for benchmarking purposes. Performance tests were carried out on the native operating system and within the Xen virtual environment, accommodating one to four virtual machines. A mathematical model was established for both the native and virtual environments, predicting that the native operating system would significantly outperform the virtualized one. The findings of this paper corroborate the model's predictions, demonstrating a substantial decline in file system performance due to virtualization. © 2025 ieee.

关键词： Virtualization

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Multi-Modal Incomplete Brain Tumor Segmentation with Mamba 24

Multi-Modal Incomplete Brain Tumor Segmentation with Mamba

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5th international symposium on Artificial Intelligence for Medicine Science, ISAIMS 2024

作者： Li, Yudan Zhang, Xiaozhi Xiong, Dongping Ouyang, Lijun School of Electrical Engineering University of South China Hunan Hengyang China School of Computing/Software University of South China Hunan Hengyang China

ISBN: (纸本)9798400717826

Accurately segmenting brain tumors from multimodal MRI sequences is a key prerequisite for brain tumor diagnosis, prognosis assessment, and surgical treatment. However, in practical applications, one or more modal data is often missing due to image corruption, different acquisition protocols, artifacts, contrast agent allergies, or cost considerations. To address the challenges of brain tumor segmentation under modality loss, this paper proposes an innovative tumor feature perception strategy. The core of this strategy is to introduce a Mamba-based Encoder (MBE) architecture, which effectively improves the feature expression ability of each modality encoder under limited data conditions. In view of the irregularity of tumor morphology, a Modulation and Demodulation Fusion Block (MDFB) is designed to accurately capture the semantic features of the tumor from the missing multimodal image data, providing strong guidance for the network to locate the tumor area. Experimental results on the widely used BraTS2020 dataset demonstrate the effectiveness of MMITS, and the brain tumor segmentation effect under various incomplete modalities is better than the state-of-the-art methods. © 2024 Copyright held by the owner/author(s).

关键词： Multicarrier modulation

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Security Challenges and Mitigation Strategies for CAN-Based Protocols: A Comprehensive Survey 24

Security Challenges and Mitigation Strategies for CAN-Based ...

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24th international symposium INFOTEH-JAHORINA, INFOTEH 2025

作者： Popic, Srdjan Ramic, Bojan Bojanic, Sasa RT-RK Institute for Computer Based Systems Novi Sad Serbia

ISBN: (纸本)9798331515799

The Controller Area network (CAN) protocol is the backbone of many critical communication systems in automotive, industrial, and embedded applications. Despite its widespread adoption, CAN-based protocols, such as J1939, CANopen, NMEA 2000, and others, face inherent security vulnerabilities due to their lack of robust authentication and encryption mechanisms. This research examines the security challenges associated with CAN and its derivative protocols, focusing on potential exploits such as message spoofing, eavesdropping, denial-of-service (DoS) attacks, and unauthorized data access. Unlike previous studies, this work comprehensively reviews defense strategies, techniques, and countermeasures across multiple CAN-based protocols, aiming to identify all possible security solutions in a unified analysis. In addition, it evaluates current industry solutions, including encryption overlays, intrusion detection systems (IDS), and protocol enhancements, while considering trade-offs between security and performance metrics, such as network traffic load, latency, and scalability. By analyzing existing approaches, this research identifies gaps in current implementations and explores innovative strategies to enhance security while maintaining network efficiency. The findings contribute to developing more resilient communication frameworks in CAN networks. © 2025 ieee.

关键词： network intrusion

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Intelligent Energy Management Strategies for Renewable Energy Sources 1

Intelligent Energy Management Strategies for Renewable Energ...

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1st international Conference on AIML-applications for Engineering and Technology, ICAET 2025

作者： Patil, Sangita Deotale, Disha Mali, Ramesh MIT School of Computing MIT ADT University Department of Electrical & Electronics Engineering Pune412201 India MIT School of Computing MIT ADT University Department of Computer Science & Engineering Pune412201 India

ISBN: (纸本)9798350355611

There have been several developments in renewable resources, standby sources of energy, and storage technologies. Because renewable sources are inconsistent, the best method to ensure supply continuity is to combine them with traditional energy to serve mini-grids or the isolated loads that are not linked to the main grid. In hybrid power system, many different energy sources are blended. Every time, effective and efficient Energy Management Strategies (EMS) are necessary when more than a source of energy is employed to supply a given load. This strategy directs the energy flow via the supply chain. This is necessary not just for standalone hybrid systems, but for hybrid power system that are linked to the main network. The intelligent control of hybrid MG has been the subject of a large number of serious research projects. A comprehensive assessment of the approaches used by a number of writers in their research work on applying energy management approaches is conducted. Standalone hybrid energy systems and the hybrid systems those are linked to the electrical grids are examples of these solutions. The aim of this paper is to give summary of various energy management schemes utilized in sustainable hybrid systems. Brief study is conducted for a number of freestanding and grid-linked hybrid system designs in order to make sure and find that which energy management technique that works well and will be applied for one renewable source is not always the best for another. © 2025 ieee.

关键词： Hybrid power

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