Pub Date : 2024-01-28DOI: 10.1109/ICEIC61013.2024.10457187
Patrick Danuor, Young-Bae Jung
This paper presents a control method to enhance the power transfer efficiency (PTE) of multi-coil wireless power transfer (WPT) via magnetic resonance coupling (MRC). The proposed method applies optimized phase-shifts and varying coil tilt angles at the transmit (TX) coils to ensure maximum power transfer. The experimental results demonstrate that the PTE is higher than 20% compared to the conventional one without such method, thereby ensuring high transfer efficiency needed for portable wireless charging applications.
{"title":"Efficiency Enhancement of Multi-Coil WPT Using Phase-Shift and Coil Tilt-Angle Control Method","authors":"Patrick Danuor, Young-Bae Jung","doi":"10.1109/ICEIC61013.2024.10457187","DOIUrl":"https://doi.org/10.1109/ICEIC61013.2024.10457187","url":null,"abstract":"This paper presents a control method to enhance the power transfer efficiency (PTE) of multi-coil wireless power transfer (WPT) via magnetic resonance coupling (MRC). The proposed method applies optimized phase-shifts and varying coil tilt angles at the transmit (TX) coils to ensure maximum power transfer. The experimental results demonstrate that the PTE is higher than 20% compared to the conventional one without such method, thereby ensuring high transfer efficiency needed for portable wireless charging applications.","PeriodicalId":518726,"journal":{"name":"2024 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"207 3","pages":"1-2"},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530076","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}
Pub Date : 2024-01-28DOI: 10.1109/ICEIC61013.2024.10457233
Hyunwook Lee, Chungyong Lee
This paper studies a downlink multiuser relay system. Especially, multi user is dropped inside the building, and relay MT antenna and RU antenna is deployed at the rooftop and the ceiling of indoor office, respectively. We formulate problem based on Rate-Splitting Multiple Access (RSMA) to achieve max-min fairness (MMF) amongst multiuser. In RSMA scheme, each user's desired message is split into a common part and a private part and the symbol streams are linearly precoded and transmitted. These process enable a flexible non-orthogonal transmission and to design beam that is robust to interference. In this paper, we use weighted minimum mean-square error (WMMSE) approach to solve MMF problem in relay system. The Simulation results show superiority of RSMA for multiuser relay system compared with conventional scheme.
{"title":"Rate-Splitting Approach for Downlink Multiuser Relay Systems","authors":"Hyunwook Lee, Chungyong Lee","doi":"10.1109/ICEIC61013.2024.10457233","DOIUrl":"https://doi.org/10.1109/ICEIC61013.2024.10457233","url":null,"abstract":"This paper studies a downlink multiuser relay system. Especially, multi user is dropped inside the building, and relay MT antenna and RU antenna is deployed at the rooftop and the ceiling of indoor office, respectively. We formulate problem based on Rate-Splitting Multiple Access (RSMA) to achieve max-min fairness (MMF) amongst multiuser. In RSMA scheme, each user's desired message is split into a common part and a private part and the symbol streams are linearly precoded and transmitted. These process enable a flexible non-orthogonal transmission and to design beam that is robust to interference. In this paper, we use weighted minimum mean-square error (WMMSE) approach to solve MMF problem in relay system. The Simulation results show superiority of RSMA for multiuser relay system compared with conventional scheme.","PeriodicalId":518726,"journal":{"name":"2024 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"346 6-9","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530491","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}
Pub Date : 2024-01-28DOI: 10.1109/ICEIC61013.2024.10457281
Youngjin Kim, Janghoo Lee, Seyong Choi, Hyekang Park, Seo Yun Kim, S. Moon, Byoung Seong Bae
Display is used in various electronic devices such as computer monitors, smartphones, and TVs. Numerous researchers have made significant advancements in display technologies, including liquid crystal displays, organic light-emitting diode displays, and micro light-emitting diode displays, which now play pivotal roles in everyday life and a wide range of industries. Although widely adopted, organic light-emitting diode displays exhibit susceptibility to oxygen and moisture, leading to luminance deterioration and degradation. Hence, researchers are exploring micro light-emitting diode displays as the next-generation solution to address these limitations. This study delves into the pixel circuit design for micro light-emitting diode displays, with the primary goal of implementing threshold voltage compensation.
{"title":"Micro LED Pixel Circuit with Threshold Voltage Compensation","authors":"Youngjin Kim, Janghoo Lee, Seyong Choi, Hyekang Park, Seo Yun Kim, S. Moon, Byoung Seong Bae","doi":"10.1109/ICEIC61013.2024.10457281","DOIUrl":"https://doi.org/10.1109/ICEIC61013.2024.10457281","url":null,"abstract":"Display is used in various electronic devices such as computer monitors, smartphones, and TVs. Numerous researchers have made significant advancements in display technologies, including liquid crystal displays, organic light-emitting diode displays, and micro light-emitting diode displays, which now play pivotal roles in everyday life and a wide range of industries. Although widely adopted, organic light-emitting diode displays exhibit susceptibility to oxygen and moisture, leading to luminance deterioration and degradation. Hence, researchers are exploring micro light-emitting diode displays as the next-generation solution to address these limitations. This study delves into the pixel circuit design for micro light-emitting diode displays, with the primary goal of implementing threshold voltage compensation.","PeriodicalId":518726,"journal":{"name":"2024 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"2 2","pages":"1-3"},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530195","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}
Pub Date : 2024-01-28DOI: 10.1109/ICEIC61013.2024.10457247
Injae Lee, Sanga Lee, Jinseop Kim, Hyeonjoon Choi, Sinyoung Park, Joonki Paik
Visual object tracking is a critical component of border surveillance technology, complementing object detection in its importance. Despite significant advancements enhancing tracking performance, challenges such as object drifting and discrimination among similar objects persist. This is particularly problematic in military settings where distinguishing between soldiers with matching attire is arduous. This paper introduces an innovative model capable of executing visual object tracking and segmentation in tandem. The model's update mechanism allows for sustained tracking, adeptly handling significant variances in the initial bounding box. Enhanced tracking of camouflaged soldiers was achieved through the incorporation of specialized learning datasets focused on camouflage patterns. Testing our model on both standard benchmarks and tailored military datasets yielded impressive results, affirming the model's efficacy.
{"title":"Enhanced Visual Object Tracking and Segmentation in Military Environments: Overcoming Camouflage and Deformation Challenges","authors":"Injae Lee, Sanga Lee, Jinseop Kim, Hyeonjoon Choi, Sinyoung Park, Joonki Paik","doi":"10.1109/ICEIC61013.2024.10457247","DOIUrl":"https://doi.org/10.1109/ICEIC61013.2024.10457247","url":null,"abstract":"Visual object tracking is a critical component of border surveillance technology, complementing object detection in its importance. Despite significant advancements enhancing tracking performance, challenges such as object drifting and discrimination among similar objects persist. This is particularly problematic in military settings where distinguishing between soldiers with matching attire is arduous. This paper introduces an innovative model capable of executing visual object tracking and segmentation in tandem. The model's update mechanism allows for sustained tracking, adeptly handling significant variances in the initial bounding box. Enhanced tracking of camouflaged soldiers was achieved through the incorporation of specialized learning datasets focused on camouflage patterns. Testing our model on both standard benchmarks and tailored military datasets yielded impressive results, affirming the model's efficacy.","PeriodicalId":518726,"journal":{"name":"2024 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"194 3","pages":"1-3"},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530081","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}
Pub Date : 2024-01-28DOI: 10.1109/ICEIC61013.2024.10457137
Byungnam Kim, Hyungjoo Jung, Kwanghoon Sohn
Image motion blur is a phenomenon that typically occurs due to the movement of dynamic objects or the shaking of a digital camera. These blurring problems have non-uniformity and non-directionality. Recent deblurring research aims to address the blur problems by employing self-attention and scale transformation approaches. The self-attention approach can be affected by the attributes of unrelated images in all spatial domains, and the multi-scale approach incurs high computational costs due to its own recurrent framework. In this paper, we propose a dilated deformable attention network (DDANet) that focuses on relevant blur attributes at all positions and handles significant variations in blur attributes distributed over different spatial domains. DDANet also utilizes a multi-scale architecture to leverage the correlation of blur attributes through progressive spatial variations in the input image. Extensive experimental results on the GoPro benchmarks demonstrate that the proposed DDANet effectively performs blurred image restoration in both subjective and objective evaluations.
{"title":"DDANet: Dilated Deformable Attention Network for Dynamic Scene Deblurring","authors":"Byungnam Kim, Hyungjoo Jung, Kwanghoon Sohn","doi":"10.1109/ICEIC61013.2024.10457137","DOIUrl":"https://doi.org/10.1109/ICEIC61013.2024.10457137","url":null,"abstract":"Image motion blur is a phenomenon that typically occurs due to the movement of dynamic objects or the shaking of a digital camera. These blurring problems have non-uniformity and non-directionality. Recent deblurring research aims to address the blur problems by employing self-attention and scale transformation approaches. The self-attention approach can be affected by the attributes of unrelated images in all spatial domains, and the multi-scale approach incurs high computational costs due to its own recurrent framework. In this paper, we propose a dilated deformable attention network (DDANet) that focuses on relevant blur attributes at all positions and handles significant variations in blur attributes distributed over different spatial domains. DDANet also utilizes a multi-scale architecture to leverage the correlation of blur attributes through progressive spatial variations in the input image. Extensive experimental results on the GoPro benchmarks demonstrate that the proposed DDANet effectively performs blurred image restoration in both subjective and objective evaluations.","PeriodicalId":518726,"journal":{"name":"2024 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"405 5","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530025","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}
Pub Date : 2024-01-28DOI: 10.1109/ICEIC61013.2024.10457194
Dongyoung Kim, Dong-Kyu Kim, Jeong-Gun Lee
A transformer architecture has been employed effectively on many tasks such as natural language processing and vision recognition. The most important and general requirement of utilizing the transformer-based architecture is that the model has to be trained on a large-scale dataset before it can be fine-tuned for downstream tasks. However, in our experiments, we figure out that the transformer-based architecture has better generalization capability to extract features from data samples in sleep stage classification than CNN-based architectures, even with a small-scale dataset without any extra pretraining step. In this paper, we show the strength of the transformer architecture with regard to generalization capability over the conventional CNN architecture in sleep stage classification tasks specifically using a small-scale dataset.
{"title":"Improved Generalization from Limiting Attention in a Transformer for Sleep Stage Classification","authors":"Dongyoung Kim, Dong-Kyu Kim, Jeong-Gun Lee","doi":"10.1109/ICEIC61013.2024.10457194","DOIUrl":"https://doi.org/10.1109/ICEIC61013.2024.10457194","url":null,"abstract":"A transformer architecture has been employed effectively on many tasks such as natural language processing and vision recognition. The most important and general requirement of utilizing the transformer-based architecture is that the model has to be trained on a large-scale dataset before it can be fine-tuned for downstream tasks. However, in our experiments, we figure out that the transformer-based architecture has better generalization capability to extract features from data samples in sleep stage classification than CNN-based architectures, even with a small-scale dataset without any extra pretraining step. In this paper, we show the strength of the transformer architecture with regard to generalization capability over the conventional CNN architecture in sleep stage classification tasks specifically using a small-scale dataset.","PeriodicalId":518726,"journal":{"name":"2024 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"34 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530043","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}
Pub Date : 2024-01-28DOI: 10.1109/ICEIC61013.2024.10457235
Hyungsun Baek, In Kyu Park
Light field, known for capturing directional light rays, has garnered substantial interest owing to the growing demand for view synthesis in immersive media and recent advancements in deep learning techniques. However, existing light field synthesis methods focus on generating views with a limited baseline, which is the distance between sub-aperture images (SAIs). In this paper, we propose a novel method to compose a light field with an expanded baseline using successive frames from a monocular video. We create a synthetic light field dataset with a wide baseline derived from a video game, employing photorealistic rendering. This dataset consists of continuous light field frames and depth maps of the central sub-aperture images. The proposed network consists of two key steps, a preprocessing step that generates visible SAIs using RGBD images and a synthesis step that constructs a Neural Radiance Field with RGBD supervision.
光场以捕捉定向光线而闻名，由于身临其境媒体对视图合成的需求日益增长，以及深度学习技术的最新进展，光场合成技术受到了广泛关注。然而，现有的光场合成方法侧重于生成基线有限的视图，即子孔图像（SAI）之间的距离。在本文中，我们提出了一种新方法，利用单目视频中的连续帧来合成具有扩展基线的光场。我们创建了一个具有宽基线的合成光场数据集，该数据集来自一款视频游戏，并采用了逼真渲染技术。该数据集由连续光场帧和中央子孔径图像的深度图组成。拟议的网络由两个关键步骤组成，一个是利用 RGBD 图像生成可见 SAI 的预处理步骤，另一个是利用 RGBD 监督构建神经辐射场的合成步骤。
{"title":"Light Field Synthesis from a Monocular Video Using Neural Radiance Fields","authors":"Hyungsun Baek, In Kyu Park","doi":"10.1109/ICEIC61013.2024.10457235","DOIUrl":"https://doi.org/10.1109/ICEIC61013.2024.10457235","url":null,"abstract":"Light field, known for capturing directional light rays, has garnered substantial interest owing to the growing demand for view synthesis in immersive media and recent advancements in deep learning techniques. However, existing light field synthesis methods focus on generating views with a limited baseline, which is the distance between sub-aperture images (SAIs). In this paper, we propose a novel method to compose a light field with an expanded baseline using successive frames from a monocular video. We create a synthetic light field dataset with a wide baseline derived from a video game, employing photorealistic rendering. This dataset consists of continuous light field frames and depth maps of the central sub-aperture images. The proposed network consists of two key steps, a preprocessing step that generates visible SAIs using RGBD images and a synthesis step that constructs a Neural Radiance Field with RGBD supervision.","PeriodicalId":518726,"journal":{"name":"2024 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"229 3","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530061","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}
Pub Date : 2024-01-28DOI: 10.1109/ICEIC61013.2024.10457250
Seunghyon Lee, Sung-Hak Lee
Recent advancements in artificial intelligence technology have propelled extensive research in the field of autonomous driving vehicles. Artificial intelligence's application in lane detection has effectively addressed challenges that were previously difficult to overcome with conventional techniques. This paper reduced the number of U-Net parameters required for learning to achieve faster processing. Additionally, it generates directional Edge images and incorporates them into the training to prioritize lane detection during ongoing driving. To ensure stable detection even in adverse conditions such as low-light situations, it employs a Bilateral Filter to suppress noise and increases the image's contrast using MSR (Multi Scale Retinex). The proposed method demonstrates greater stability, faster learning, and superior results compared to simple U-Net or 3-channel approaches.
{"title":"U-Net Based Enhanced Lane Detection Learning With Directional Lane ROIs for Harsh Environments","authors":"Seunghyon Lee, Sung-Hak Lee","doi":"10.1109/ICEIC61013.2024.10457250","DOIUrl":"https://doi.org/10.1109/ICEIC61013.2024.10457250","url":null,"abstract":"Recent advancements in artificial intelligence technology have propelled extensive research in the field of autonomous driving vehicles. Artificial intelligence's application in lane detection has effectively addressed challenges that were previously difficult to overcome with conventional techniques. This paper reduced the number of U-Net parameters required for learning to achieve faster processing. Additionally, it generates directional Edge images and incorporates them into the training to prioritize lane detection during ongoing driving. To ensure stable detection even in adverse conditions such as low-light situations, it employs a Bilateral Filter to suppress noise and increases the image's contrast using MSR (Multi Scale Retinex). The proposed method demonstrates greater stability, faster learning, and superior results compared to simple U-Net or 3-channel approaches.","PeriodicalId":518726,"journal":{"name":"2024 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"31 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530260","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}
Pub Date : 2024-01-28DOI: 10.1109/ICEIC61013.2024.10457234
Soomin Kim, Seongjae Cho
In this work, the effects of misalignment between gate and channel edges on performances of an ultra-thin vertical-pillar MOSFET are investigated by a series of device simulations. The operation characteristics of the device as a function of degree of misalignment that might frequently exist between the gate and channel edges, in the actual device fabrication, have been quantitatively analyzed. In case of gate-drain overlap, there is little change in current characteristics but significant decrease in Ion and increase in Ioff were observed, when an excessive underlap was established, accompanying non-ideal effects including subthreshold swing (S) degradation and drain-induced barrier lowering (DIBL). Based on the results, the process margin can be figured.
本研究通过一系列器件模拟，研究了栅极和沟道边缘错位对超薄垂直支柱 MOSFET 性能的影响。在实际器件制造过程中，栅极和沟道边缘之间可能经常出现错位，本文定量分析了错位程度对器件工作特性的影响。在栅-沟道重叠的情况下，电流特性几乎没有变化，但当出现过大的欠间隙时，Ion 值会显著下降，Ioff 值会显著上升，并伴随着非理想效应，包括亚阈值摆幅 (S) 下降和漏极诱导势垒降低 (DIBL)。根据这些结果，可以计算出工艺裕度。
{"title":"Effects of Misaligned Gate Lapping Over the Channel on Performances of Ultra-Thin Vertical-Pillar MOSFET","authors":"Soomin Kim, Seongjae Cho","doi":"10.1109/ICEIC61013.2024.10457234","DOIUrl":"https://doi.org/10.1109/ICEIC61013.2024.10457234","url":null,"abstract":"In this work, the effects of misalignment between gate and channel edges on performances of an ultra-thin vertical-pillar MOSFET are investigated by a series of device simulations. The operation characteristics of the device as a function of degree of misalignment that might frequently exist between the gate and channel edges, in the actual device fabrication, have been quantitatively analyzed. In case of gate-drain overlap, there is little change in current characteristics but significant decrease in Ion and increase in Ioff were observed, when an excessive underlap was established, accompanying non-ideal effects including subthreshold swing (S) degradation and drain-induced barrier lowering (DIBL). Based on the results, the process margin can be figured.","PeriodicalId":518726,"journal":{"name":"2024 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"370 2-3","pages":"1-2"},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530451","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}
Pub Date : 2024-01-28DOI: 10.1109/ICEIC61013.2024.10457141
Poom Somwong, Yuthapong Somchit
Software-Defined Networking (SDN) decouples the control and data planes, enhancing both network management and programmability. SDN switches in the data plane communicate with controllers, generating controller loads. However, dynamic network load changes can result in controller overloads. Some switches may need to be migrated to other controllers to solve the problem. With the growing focus on energy efficiency in networking, minimizing energy consumption from communications between switches and controllers becomes important. Thus, a load distribution strategy that also accounts for energy consumption is needed. This paper presents the Energy-aware Controller Load Distribution (ECLD) algorithm. It addresses the controller overload issue and aims to reduce the overall energy consumption associated with switch loads. It considers hop counts and energy costs, as well as the effect where a switch migration causes others to migrate to further controllers, increasing energy consumption. Evaluation results indicate that the ECLD algorithm achieves lower energy consumption compared to existing solutions.
软件定义网络（SDN）将控制平面和数据平面分离开来，增强了网络管理和可编程性。数据平面的 SDN 交换机与控制器通信，产生控制器负载。然而，网络负载的动态变化会导致控制器过载。一些交换机可能需要迁移到其他控制器上才能解决问题。随着人们对网络能效的日益关注，最大限度地减少交换机和控制器之间的通信能耗变得非常重要。因此，需要一种同时考虑能耗的负载分配策略。本文介绍了能量感知控制器负载分配（ECLD）算法。它解决了控制器过载问题，旨在减少与交换机负载相关的总体能耗。该算法考虑了跳数和能耗成本，以及交换机迁移导致其他交换机迁移到更多控制器从而增加能耗的影响。评估结果表明，与现有解决方案相比，ECLD 算法的能耗更低。
{"title":"Energy-Aware Controller Load Distribution in Software-Defined Networking","authors":"Poom Somwong, Yuthapong Somchit","doi":"10.1109/ICEIC61013.2024.10457141","DOIUrl":"https://doi.org/10.1109/ICEIC61013.2024.10457141","url":null,"abstract":"Software-Defined Networking (SDN) decouples the control and data planes, enhancing both network management and programmability. SDN switches in the data plane communicate with controllers, generating controller loads. However, dynamic network load changes can result in controller overloads. Some switches may need to be migrated to other controllers to solve the problem. With the growing focus on energy efficiency in networking, minimizing energy consumption from communications between switches and controllers becomes important. Thus, a load distribution strategy that also accounts for energy consumption is needed. This paper presents the Energy-aware Controller Load Distribution (ECLD) algorithm. It addresses the controller overload issue and aims to reduce the overall energy consumption associated with switch loads. It considers hop counts and energy costs, as well as the effect where a switch migration causes others to migrate to further controllers, increasing energy consumption. Evaluation results indicate that the ECLD algorithm achieves lower energy consumption compared to existing solutions.","PeriodicalId":518726,"journal":{"name":"2024 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"115 3-4","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530379","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}
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