2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet)最新文献

A New IoT Power-Limited Wireless Sensor Networks Routing Protocol Utilizing Computational Intelligence 利用计算智能的新型物联网限电无线传感器网络路由协议

2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet) Pub Date : 2023-12-11 DOI: 10.1109/CommNet60167.2023.10365267

Reem Riyad Elyyan, Khalid A. Darabkh

{"title":"A New IoT Power-Limited Wireless Sensor Networks Routing Protocol Utilizing Computational Intelligence","authors":"Reem Riyad Elyyan, Khalid A. Darabkh","doi":"10.1109/CommNet60167.2023.10365267","DOIUrl":"https://doi.org/10.1109/CommNet60167.2023.10365267","url":null,"abstract":"Finding a cogent network architecture with efficient energy usage is essential given the rise of the Internet of Things (IoT), which poses a new barrier to the widespread use of IoT applications globally. This research investigates the suggested protocol in a novel simulation environment by dividing the network area into equal hexagonal cells and using the arithmetic optimization algorithm, a new meta-heuristic technique, to assist the cluster head assortment. The double mobile sinks are then deployed to travel along two constrained hexagonal itineraries in order to gather sensory data. Additionally, a cost-effective routing approach is suggested to prolong the lifespan of IoT sensor nodes. In the end, a comparison between the suggested protocol and the conventional techniques reveals a significant decrease in the average energy consumption of sensor nodes, hence extending the lifetime of the network. Particularly, as far as the mobility is concerned, the suggested protocol performs 372 times better than the energy-efficient geographic routing protocol and 669 times better than the rendezvous-based routing protocol in terms of the first node to die.","PeriodicalId":505542,"journal":{"name":"2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet)","volume":"25 2","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139183209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

David and Goliath: Asymmetric Advantage in MIoT 大卫与歌利亚：物联网的非对称优势

2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet) Pub Date : 2023-12-11 DOI: 10.1109/CommNet60167.2023.10365313

Gabriele Oligeri, Savio Sciancalepore, Alireza Sadighian

引用次数: 0

Channel Impulse Response Peak Clustering Using Neural Networks 利用神经网络进行信道脉冲响应峰聚类

2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet) Pub Date : 2023-12-11 DOI: 10.1109/CommNet60167.2023.10365265

Petr Horky, A. Prokeš, Radek Zavorka, Josef Vychodil, J. Kelner, C. Ziółkowski, A. Chandra

{"title":"Channel Impulse Response Peak Clustering Using Neural Networks","authors":"Petr Horky, A. Prokeš, Radek Zavorka, Josef Vychodil, J. Kelner, C. Ziółkowski, A. Chandra","doi":"10.1109/CommNet60167.2023.10365265","DOIUrl":"https://doi.org/10.1109/CommNet60167.2023.10365265","url":null,"abstract":"This paper introduces an approach to process channel sounder data acquired from Channel Impulse Response (CIR) of 60GHz and 80GHz channel sounder systems, through the integration of Long Short-Term Memory (LSTM) Neural Network (NN) and Fully Connected Neural Network (FCNN). The primary goal is to enhance and automate cluster detection within peaks from noised CIR data. The study initially compares the performance of LSTM NN and FCNN across different input sequence lengths. Notably, LSTM surpasses FCNN due to its incorporation of memory cells, which prove beneficial for handling longer series.Additionally, the paper investigates the robustness of LSTM NN through various architectural configurations. The findings suggest that robust neural networks tend to closely mimic the input function, whereas smaller neural networks are better at generalizing trends in time series data, which is desirable for anomaly detection, where function peaks are regarded as anomalies.Finally, the selected LSTM NN is compared with traditional signal filters, including Butterworth, Savitzky-Golay, Bessel/Thomson, and median filters. Visual observations indicate that the most effective methods for peak detection within channel impulse response data are either the LSTM NN or median filter, as they yield similar results.","PeriodicalId":505542,"journal":{"name":"2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet)","volume":"42 3","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139183514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Innovative Model for Predicting Soil Impact on Patch Antenna Directivity 预测土壤对贴片天线指向性影响的创新模型

2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet) Pub Date : 2023-12-11 DOI: 10.1109/CommNet60167.2023.10365308

Mounir El Mejjatti, Ahmed Habbani

{"title":"Innovative Model for Predicting Soil Impact on Patch Antenna Directivity","authors":"Mounir El Mejjatti, Ahmed Habbani","doi":"10.1109/CommNet60167.2023.10365308","DOIUrl":"https://doi.org/10.1109/CommNet60167.2023.10365308","url":null,"abstract":"The radiation pattern of an antenna is heavily contingent upon its physical attributes and the surroundings it operates within. However, the permanent integration of devices into the ground introduces inherent instability into the propagation medium, reliable to spatial and temporal fluctuations in dielectric permittivity. This research introduces a multivariable method that adeptly captures patterns within datasets, facilitating precise prognostication of maximum directivity deviations, reaching approximately 70%. This technique leans on the principles of multiple linear analysis and takes into account soil parameter values. Moreover, our study’s outcomes illustrate that among the four pivotal variables, volumetric moisture wields a pronounced impact on the main lobe magnitude, boasting a noteworthy correlation coefficient of -0.702. In contrast, temperature and bulk density exhibit coefficients of 0.106 and -0.133, respectively. Conversely, the influence of specific density seems to be of minor import. The results obtained fulfill the established aims of this investigation, furnishing designers with indispensable insights to tackle the predicaments that transmitters might confront in such scenarios.","PeriodicalId":505542,"journal":{"name":"2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet)","volume":"452 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139183624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analysis of Blockchain Integration in the e-Healthcare Ecosystem 电子医疗生态系统中的区块链整合分析

2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet) Pub Date : 2023-12-11 DOI: 10.1109/CommNet60167.2023.10365182

Abdellah Ouaguid, Mohamed Hanine, Z. Chiba, N. Abghour, Hassan Ghazal

{"title":"Analysis of Blockchain Integration in the e-Healthcare Ecosystem","authors":"Abdellah Ouaguid, Mohamed Hanine, Z. Chiba, N. Abghour, Hassan Ghazal","doi":"10.1109/CommNet60167.2023.10365182","DOIUrl":"https://doi.org/10.1109/CommNet60167.2023.10365182","url":null,"abstract":"No one can dispute the disruptive impact of blockchain technology, which has long been considered one of the major revolutions of contemporary times. Its integration into the healthcare ecosystem has helped overcome numerous difficulties and constraints faced by healthcare systems. This has been notably demonstrated in the meticulous management of electronic health records (EHR) and their access rights, as well as in its capabilities in terms of security, scalability, flexibility, and interoperability with other systems. This article undertakes the study and analysis of the most commonly adopted approaches in healthcare data management systems using blockchain technology. An evaluation is then conducted based on a set of observed common characteristics, distinguishing one approach from the others. The results of this analysis highlight the advantages and limitations of each approach, thus facilitating the choice of the method best suited to the readers’ specific case study. Furthermore, for effective implementation in the context of ehealth, we emphasize the existence of crucial challenges, such as the incomplete representation of major stakeholders in the blockchain network, the lack of regulatory flexibility to ensure legal interoperability by country, and the insufficient integration of an official regulatory authority ensuring compliance with ethical and legal standards. To address these challenges, it is necessary to establish close collaboration between regulators, technology developers, and healthcare stakeholders.","PeriodicalId":505542,"journal":{"name":"2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet)","volume":"73 2","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139183896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

CommNet 2023 Preface CommNet 2023 前言

2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet) Pub Date : 2023-12-11 DOI: 10.1109/commnet60167.2023.10365285

引用次数: 0

Point Cloud Streaming over HTTP/2 通过 HTTP/2 传输点云流

2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet) Pub Date : 2023-12-11 DOI: 10.1109/commnet60167.2023.10365247

Estabraq H. Makiyah, Nassr N. Kliamees

引用次数: 0

Developing Mask R-CNN Framework for Real-Time Object Detection 开发用于实时物体检测的掩码 R-CNN 框架

2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet) Pub Date : 2023-12-11 DOI: 10.1109/CommNet60167.2023.10365298

Hmidani Oussama, Ismaili Alaoui El Mehdi

{"title":"Developing Mask R-CNN Framework for Real-Time Object Detection","authors":"Hmidani Oussama, Ismaili Alaoui El Mehdi","doi":"10.1109/CommNet60167.2023.10365298","DOIUrl":"https://doi.org/10.1109/CommNet60167.2023.10365298","url":null,"abstract":"In the field of computer vision, achieving real-time object detection through deep learning holds significant importance. Notable strides have been made in real-time object detection methods, particularly due to the rapid progress of deep convolutional neural networks (CNNs) compared to traditional approaches. It has been observed that existing real-time deep CNN-based object detectors face performance limitations, primarily stemming from the architecture of the underlying base network. This study introduces an improved framework for real-time object detection based on the Mask R-CNN model. To address the challenge of enhancing performance under stricter localization criteria, we replace the original Mask R-CNN’s Region of Interest Align (RoIAlign) with spatial interpolation. Additionally, in the final phase of the Mask R-CNN framework, we utilize the depthwise separable convolution architecture from EfficientNet-B7 to construct a classifier for proposal categorization and to adjust bounding boxes for detected objects. Experimental findings on both the COCO dataset and the ImageNet dataset demonstrate that our proposed approach surpasses the original Mask R-CNN in terms of detection accuracy and inference speed. Categorically, our method outperforms the original Mask R-CNN framework by 51.5% on the COCO test set and 46.2% on the ImageNet test set.","PeriodicalId":505542,"journal":{"name":"2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet)","volume":"21 6","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139183994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimal DU placement in an O-RAN multi-band system O-RAN 多频段系统中的最佳 DU 布局

2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet) Pub Date : 2023-12-11 DOI: 10.1109/CommNet60167.2023.10365282

Amath Ndao, Xavier Lagrange, Nicolas Huin, Géraldine Texier, L. Nuaymi

{"title":"Optimal DU placement in an O-RAN multi-band system","authors":"Amath Ndao, Xavier Lagrange, Nicolas Huin, Géraldine Texier, L. Nuaymi","doi":"10.1109/CommNet60167.2023.10365282","DOIUrl":"https://doi.org/10.1109/CommNet60167.2023.10365282","url":null,"abstract":"Open Radio Access Network (O-RAN) is the most promising solution for future RAN deployments. This attractive and efficient solution presents complex and new challenges w.r.t to cost, energy consumption and other performance indicators. In this work, we study function placement in the Open Radio Access Network (O-RAN) architecture. Our objective it to minimize the operating costs, while respecting other network constraints. We consider a RAN load that varies over the day and we study the ORAN-DUs (ORAN-Distributed Units) placement for different frequency bands. We use data obtained from real topology. First, we analyze the percentage of utilization, throughput and Modulation and Coding Scheme (MCS) selections of each frequency band for each hour of the day. Based on our analysis, we propose an Integer Linear Programming (ILP) model whose objective is to minimize computing and routing cost while respecting the delay and capacity constraints of ORAN interfaces. Our results analyse the cost savings of the proposed model w.r.t the DRAN (Distributed RAN), the solution prevailing before ORAN, during off-peak and peak hours.","PeriodicalId":505542,"journal":{"name":"2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet)","volume":"43 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139183999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Copyright Page 版权页

2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet) Pub Date : 2023-12-11 DOI: 10.1109/commnet60167.2023.10365301

引用次数: 0