Pub Date : 2023-01-09DOI: 10.1109/DeSE58274.2023.10099574
Y. A. Mashhadany, M. A. Lilo, Sameer Algburi
Because it is simple to build, inexpensive, low-maintenance, efficient, and has a high output power, a brushless DC (BLDC) motor used in many applications with power systems. An inverter powers the BLDC motor. This work presents the proposed design and full simulation and analysis for a three-phase level inverter to apply the high performance of BLDC motor. Three 12-pulse three-level vector output bridges switched the IGBT's three-level transformers, and a separate three-phase pulse width modulation (DPWM) generator powered the multi-level inverter. To resolve low electromagnetic interference and harmonic distortion, DPWM with a three-level inverter is used. The three-phase voltage technique using variations in phase, frequency, and amplitude produced outstanding performance, making the proposed design very helpful in many applications, particularly those that call for high voltage. The suggested model follows the intended reference speed signal in a variety of stages using a PID controller. Simulating the system design was done with Matlab/Simulink with steady state and transient reactions, satisfactory results and strong control performance are obtained. The proposed model's results are compared to those of the DC-link variable control. The proposed model produces more consistent and trustworthy results.
{"title":"Optimal Stability of Brushless DC Motor System Based on Multilevel Inverter","authors":"Y. A. Mashhadany, M. A. Lilo, Sameer Algburi","doi":"10.1109/DeSE58274.2023.10099574","DOIUrl":"https://doi.org/10.1109/DeSE58274.2023.10099574","url":null,"abstract":"Because it is simple to build, inexpensive, low-maintenance, efficient, and has a high output power, a brushless DC (BLDC) motor used in many applications with power systems. An inverter powers the BLDC motor. This work presents the proposed design and full simulation and analysis for a three-phase level inverter to apply the high performance of BLDC motor. Three 12-pulse three-level vector output bridges switched the IGBT's three-level transformers, and a separate three-phase pulse width modulation (DPWM) generator powered the multi-level inverter. To resolve low electromagnetic interference and harmonic distortion, DPWM with a three-level inverter is used. The three-phase voltage technique using variations in phase, frequency, and amplitude produced outstanding performance, making the proposed design very helpful in many applications, particularly those that call for high voltage. The suggested model follows the intended reference speed signal in a variety of stages using a PID controller. Simulating the system design was done with Matlab/Simulink with steady state and transient reactions, satisfactory results and strong control performance are obtained. The proposed model's results are compared to those of the DC-link variable control. The proposed model produces more consistent and trustworthy results.","PeriodicalId":346847,"journal":{"name":"2023 15th International Conference on Developments in eSystems Engineering (DeSE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134445087","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 : 2023-01-09DOI: 10.1109/DeSE58274.2023.10100250
Mohammed Al Jameel, T. Kanakis, S. J Turner, Ali Al-Sherbaz, W. Bhaya, M. Al-khafajiy
Multimedia applications such as video streaming services have become popular, especially with the rapid growth of users, devices, increased availability and diversity of these services over the internet. In this case, service providers and network administrators have difficulties ensuring end-user satisfaction because the traffic generated by such services is more exposed to multiple network quality of service impairments, including bandwidth, delay, jitter, and loss ratio. This paper proposes an intelligent-based multimedia traffic routing framework that exploits the integration of a reinforcement learning technique with software-defined networking to explore, learn and find potential routes for video streaming traffic. Simulation results through a realistic network and under various traffic loads, demonstrate the proposed scheme's effectiveness in providing improved end-user viewing quality, higher throughput and lower video quality switches when compared to the existing techniques.
{"title":"An Intelligent Routing Approach for Multimedia Traffic Transmission Over SDN","authors":"Mohammed Al Jameel, T. Kanakis, S. J Turner, Ali Al-Sherbaz, W. Bhaya, M. Al-khafajiy","doi":"10.1109/DeSE58274.2023.10100250","DOIUrl":"https://doi.org/10.1109/DeSE58274.2023.10100250","url":null,"abstract":"Multimedia applications such as video streaming services have become popular, especially with the rapid growth of users, devices, increased availability and diversity of these services over the internet. In this case, service providers and network administrators have difficulties ensuring end-user satisfaction because the traffic generated by such services is more exposed to multiple network quality of service impairments, including bandwidth, delay, jitter, and loss ratio. This paper proposes an intelligent-based multimedia traffic routing framework that exploits the integration of a reinforcement learning technique with software-defined networking to explore, learn and find potential routes for video streaming traffic. Simulation results through a realistic network and under various traffic loads, demonstrate the proposed scheme's effectiveness in providing improved end-user viewing quality, higher throughput and lower video quality switches when compared to the existing techniques.","PeriodicalId":346847,"journal":{"name":"2023 15th International Conference on Developments in eSystems Engineering (DeSE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116133219","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 : 2023-01-09DOI: 10.1109/DeSE58274.2023.10099944
Shahad Shoukir Mahmoud, S. M. Hama, A. Mahmoud
This paper presented the importance of using waste glass powder as a partial replacement of cement in concrete, by investigating some properties of hardened concrete which containing milled glass and compared with the control mix without replacement. Three percentage of milled glass have been used; 0%, 10%, 15%, which consider the best adding percentage with particle, size less than $75mu m$. These investigations included compressive strength, flexural strength, splitting strength, and ultrasonic pulse velocity test. The results of these tests showed the development of all strength because glass powder has a high pozzolanic effect (high content of silica) which improves the properties of concrete also reduces the emission of $co_{2}$ come from the production of cement. A new mathematical model to predict the strength incorporating glass powered concrete is presented.
{"title":"Predicting Strength Criteria of Hardened Concrete Containing Waste Glass Powder","authors":"Shahad Shoukir Mahmoud, S. M. Hama, A. Mahmoud","doi":"10.1109/DeSE58274.2023.10099944","DOIUrl":"https://doi.org/10.1109/DeSE58274.2023.10099944","url":null,"abstract":"This paper presented the importance of using waste glass powder as a partial replacement of cement in concrete, by investigating some properties of hardened concrete which containing milled glass and compared with the control mix without replacement. Three percentage of milled glass have been used; 0%, 10%, 15%, which consider the best adding percentage with particle, size less than $75mu m$. These investigations included compressive strength, flexural strength, splitting strength, and ultrasonic pulse velocity test. The results of these tests showed the development of all strength because glass powder has a high pozzolanic effect (high content of silica) which improves the properties of concrete also reduces the emission of $co_{2}$ come from the production of cement. A new mathematical model to predict the strength incorporating glass powered concrete is presented.","PeriodicalId":346847,"journal":{"name":"2023 15th International Conference on Developments in eSystems Engineering (DeSE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126102219","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 : 2023-01-09DOI: 10.1109/DeSE58274.2023.10100112
Ammar S. Al-Zubaidi, Basheera M. Mahmmod, S. Abdulhussain, M. Naser, Abir Hussain
Discrete Hahn moments are considered efficient orthogonal moments applied in various scientific areas such as signal processing and computer vision. It has a high energy compaction, considered an advantage for speech enhancement algorithm (SEA). Most conventional SEA present undesirable distortion to the improved signal. Minimizing these issues demands a robust estimator. Therefore, this paper presents Hahn moments-based linear and non-linear estimators. Wiener filter and minimum mean squared error (MMSE) sense are used to form the estimators. These estimators with Hahn moments reduce the distortion in various underlying speech conditions. The presented SEA is evaluated in terms of different quality and intelligibility measurements. The experimental results show the advantage and effectiveness of the proposed system over other existing works.
{"title":"Low-Distortion MMSE Estimator for Speech Enhancement Based on Hahn Moments","authors":"Ammar S. Al-Zubaidi, Basheera M. Mahmmod, S. Abdulhussain, M. Naser, Abir Hussain","doi":"10.1109/DeSE58274.2023.10100112","DOIUrl":"https://doi.org/10.1109/DeSE58274.2023.10100112","url":null,"abstract":"Discrete Hahn moments are considered efficient orthogonal moments applied in various scientific areas such as signal processing and computer vision. It has a high energy compaction, considered an advantage for speech enhancement algorithm (SEA). Most conventional SEA present undesirable distortion to the improved signal. Minimizing these issues demands a robust estimator. Therefore, this paper presents Hahn moments-based linear and non-linear estimators. Wiener filter and minimum mean squared error (MMSE) sense are used to form the estimators. These estimators with Hahn moments reduce the distortion in various underlying speech conditions. The presented SEA is evaluated in terms of different quality and intelligibility measurements. The experimental results show the advantage and effectiveness of the proposed system over other existing works.","PeriodicalId":346847,"journal":{"name":"2023 15th International Conference on Developments in eSystems Engineering (DeSE)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130236640","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 : 2023-01-09DOI: 10.1109/DeSE58274.2023.10099555
R. Saeed, Bushra K. Oleiwi
COVID-19 is a novel virus infecting the upper respiratory tract and lungs. On a scale of the global pandemic, the number of cases and deaths had been increasing each day. Chest X-ray (CXR) images proved effective in monitoring a variety of lung illnesses, including the COVID-19 disease. In recent years, deep learning (DL) has become one of the most significant topics in the computing world and has been extensively applied in several medical applications. In terms of automatic diagnosis of COVID-19, those approaches had proven to be very effective. In this research, a DL technology based on convolution neural networks (CNN) models had been implemented with less number of layers with tuning parameters that will take less time for training for binary classification of COVID-19 based on CXR images. Experimental results had shown that the proposed model for training had achieved an accuracy of 96.68%, Recall of 94.12%, Precision of 93.49%, Specificity of 97.61%, and F1 Score of 93.8%. Those results had shown the high value of utilizing DL for early COVID-19 diagnosis, which can be utilized as a useful tool for COVID-19 screening.
{"title":"Deep learning model for binary classification of COVID-19 based on Chest X-Ray","authors":"R. Saeed, Bushra K. Oleiwi","doi":"10.1109/DeSE58274.2023.10099555","DOIUrl":"https://doi.org/10.1109/DeSE58274.2023.10099555","url":null,"abstract":"COVID-19 is a novel virus infecting the upper respiratory tract and lungs. On a scale of the global pandemic, the number of cases and deaths had been increasing each day. Chest X-ray (CXR) images proved effective in monitoring a variety of lung illnesses, including the COVID-19 disease. In recent years, deep learning (DL) has become one of the most significant topics in the computing world and has been extensively applied in several medical applications. In terms of automatic diagnosis of COVID-19, those approaches had proven to be very effective. In this research, a DL technology based on convolution neural networks (CNN) models had been implemented with less number of layers with tuning parameters that will take less time for training for binary classification of COVID-19 based on CXR images. Experimental results had shown that the proposed model for training had achieved an accuracy of 96.68%, Recall of 94.12%, Precision of 93.49%, Specificity of 97.61%, and F1 Score of 93.8%. Those results had shown the high value of utilizing DL for early COVID-19 diagnosis, which can be utilized as a useful tool for COVID-19 screening.","PeriodicalId":346847,"journal":{"name":"2023 15th International Conference on Developments in eSystems Engineering (DeSE)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129923531","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 : 2023-01-09DOI: 10.1109/DeSE58274.2023.10099927
A. N. Jasim, L. Chaari
Agriculture, encompassing industrialization, security, traceability, and sustainable resource management, is critical to the survival of humans. As resources dwindle, it is critical to develop strategies to assist in preserving agriculture. The development of the Internet of Things (IoT), Artificial intelligence, UAVs, and Blockchain technologies as new sectors has the potential to significantly improve the status of the Agricultural domain. In this context, this study does a comprehensive assessment of the literature to analyse the most recent breakthroughs in schemes that can innovate the agriculture domain. Following the determination of the fundamental needs in smart agriculture, several solutions and projects are highlighted. Furthermore, the present investigation will help in the identification of new avenues for future research related to the employment of AI, UAVs, and BC in agriculture.
{"title":"Agriculture 4.0 from IoT, Artificial Intelligence, Drone, & Blockchain Perspectives","authors":"A. N. Jasim, L. Chaari","doi":"10.1109/DeSE58274.2023.10099927","DOIUrl":"https://doi.org/10.1109/DeSE58274.2023.10099927","url":null,"abstract":"Agriculture, encompassing industrialization, security, traceability, and sustainable resource management, is critical to the survival of humans. As resources dwindle, it is critical to develop strategies to assist in preserving agriculture. The development of the Internet of Things (IoT), Artificial intelligence, UAVs, and Blockchain technologies as new sectors has the potential to significantly improve the status of the Agricultural domain. In this context, this study does a comprehensive assessment of the literature to analyse the most recent breakthroughs in schemes that can innovate the agriculture domain. Following the determination of the fundamental needs in smart agriculture, several solutions and projects are highlighted. Furthermore, the present investigation will help in the identification of new avenues for future research related to the employment of AI, UAVs, and BC in agriculture.","PeriodicalId":346847,"journal":{"name":"2023 15th International Conference on Developments in eSystems Engineering (DeSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129838571","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 : 2023-01-09DOI: 10.1109/DeSE58274.2023.10099808
Ahmed Subhi Abdalkafor, K. Alheeti
Healthcare is considered significant topic in the recent research area. However, one of the most commonly diseases which is heart diseases disease. The possibility of early detection to reduce the number of deaths because it is difficult to predict a heart disorder quickly. Recently, many researchers focused on the implementation of several feature extraction techniques and the help of artificial intelligence algorithms to classify this disease, but classification accuracy remained the only difference between these studies. In this paper, the proposed work for the classification of heart diseases was implemented and tested after selecting methods and techniques for data pre-processing and extracting important features that led to obtaining a competitive classification accuracy that reached higher than 93.5% compared to related studies. This finding encourages us and other field researchers to use methods for feature extraction and other strategies described in this paper to classify other diseases.
{"title":"K-Nearest Neighbor Algorithm for Efficient Heart Disease Classification System","authors":"Ahmed Subhi Abdalkafor, K. Alheeti","doi":"10.1109/DeSE58274.2023.10099808","DOIUrl":"https://doi.org/10.1109/DeSE58274.2023.10099808","url":null,"abstract":"Healthcare is considered significant topic in the recent research area. However, one of the most commonly diseases which is heart diseases disease. The possibility of early detection to reduce the number of deaths because it is difficult to predict a heart disorder quickly. Recently, many researchers focused on the implementation of several feature extraction techniques and the help of artificial intelligence algorithms to classify this disease, but classification accuracy remained the only difference between these studies. In this paper, the proposed work for the classification of heart diseases was implemented and tested after selecting methods and techniques for data pre-processing and extracting important features that led to obtaining a competitive classification accuracy that reached higher than 93.5% compared to related studies. This finding encourages us and other field researchers to use methods for feature extraction and other strategies described in this paper to classify other diseases.","PeriodicalId":346847,"journal":{"name":"2023 15th International Conference on Developments in eSystems Engineering (DeSE)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126465917","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 : 2023-01-09DOI: 10.1109/DeSE58274.2023.10099909
M. Mahyoub, Ali Al Ataby, Y. Upadhyay, J. Mustafina
Airbnb is known to be a home-sharing and rental platform which provides facilities to homeowners or renters (referred to as hosts) to offer their houses otherwise known as listings on an online platform for guests booking. It is the responsibility of the hosts to set the expected price of their items independently. Although Airbnb along with a few sites provides many advices, we are yet to have any free or accurate system. This became difficult for the hosts to correctly come up with a price for their listed properties due to many different factors in the system. There are a few pricing models available in the market, however, these are not free. It is the responsibility of the host to enter the appropriate basic price for each night for a particular property. The other challenge is dynamic pricing based on holidays, seasons, and weather. The host can't keep the same price for all the dates as this impacts the business significantly. It is extremely critical to ensure appropriate prices are listed during this competitive time. This study compares the performance of numerous machine learning algorithms and methodologies in Airbnb price prediction to identify the most accurate one. Linear Regression, XGBoost, Random Forest, ANN and KNN are among the machine learning models experimented in this study. Different performance measures are used to validate the results.
{"title":"AIRBNB Price Prediction Using Machine Learning","authors":"M. Mahyoub, Ali Al Ataby, Y. Upadhyay, J. Mustafina","doi":"10.1109/DeSE58274.2023.10099909","DOIUrl":"https://doi.org/10.1109/DeSE58274.2023.10099909","url":null,"abstract":"Airbnb is known to be a home-sharing and rental platform which provides facilities to homeowners or renters (referred to as hosts) to offer their houses otherwise known as listings on an online platform for guests booking. It is the responsibility of the hosts to set the expected price of their items independently. Although Airbnb along with a few sites provides many advices, we are yet to have any free or accurate system. This became difficult for the hosts to correctly come up with a price for their listed properties due to many different factors in the system. There are a few pricing models available in the market, however, these are not free. It is the responsibility of the host to enter the appropriate basic price for each night for a particular property. The other challenge is dynamic pricing based on holidays, seasons, and weather. The host can't keep the same price for all the dates as this impacts the business significantly. It is extremely critical to ensure appropriate prices are listed during this competitive time. This study compares the performance of numerous machine learning algorithms and methodologies in Airbnb price prediction to identify the most accurate one. Linear Regression, XGBoost, Random Forest, ANN and KNN are among the machine learning models experimented in this study. Different performance measures are used to validate the results.","PeriodicalId":346847,"journal":{"name":"2023 15th International Conference on Developments in eSystems Engineering (DeSE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129003228","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 : 2023-01-09DOI: 10.1109/DeSE58274.2023.10099660
Varun Sharma, H. Kolivand, Shiva Asadianfam, D. Al-Jumeily, M. Jayabalan
Gesture recognition is a computing process that attempts to recognize and interpret human gestures through the use of mathematical algorithms. In this paper, we describe Point Based Gesture Recognition and Point Clouds nearest neighbors and sampling. Also, we explore these techniques with previous studies.
{"title":"Point-based Gesture Recognition Techniques","authors":"Varun Sharma, H. Kolivand, Shiva Asadianfam, D. Al-Jumeily, M. Jayabalan","doi":"10.1109/DeSE58274.2023.10099660","DOIUrl":"https://doi.org/10.1109/DeSE58274.2023.10099660","url":null,"abstract":"Gesture recognition is a computing process that attempts to recognize and interpret human gestures through the use of mathematical algorithms. In this paper, we describe Point Based Gesture Recognition and Point Clouds nearest neighbors and sampling. Also, we explore these techniques with previous studies.","PeriodicalId":346847,"journal":{"name":"2023 15th International Conference on Developments in eSystems Engineering (DeSE)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123093014","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 : 2023-01-09DOI: 10.1109/DeSE58274.2023.10100163
Huda A. Ahmed, H. Al-Asadi
Mobile Ad hoc Networks (MANETs) consist of a set of mobile nodes connected together without any wired or physical infrastructure., which makes nodes independent and simple in deployment. The arbitrary movement of nodes within appropriate range area makes dynamic network and routing between there nodes is difficult. In MANETs the routes are performed by the source nodes (sinks) that establish the network without central access point., so number of sinks is very important in MANETs. When the nodes moving at a variant speed thus making unpredicted network that have unspecific topology. That networks have many limitations such as low energy due to the battery powered of its nodes. Therefore, routing protocols must be used based on the mobility., suitable nodes and sinks numbers, and reducing the energy consumption of the nodes. In this research we proposed a methods consist of three classes (Tri-Classes) to study the impact of changing numbers of nodes and sinks on Received Packets Ratio (RPR) for different MANETs routing protocols, the comparison includes the four major routing protocols., AODV (Ad hoc On Demand Distance Vector), DSDV (Destination Sequenced Distance Vector), DSR(Dynamic Source Routing), and OLSR (Optimized Link State Routing) under various nodes size (50, 100, and 250 nodes) and variant numbers of sinks (5, 10, and 15). We observed that the RPR is completely affected by changing numbers of nodes and sinks. In general we obtain best RPR by increasing nodes and sinks numbers. The protocols were simulated using Network Simulator 3 (NS3).
移动自组织网络(manet)由一组连接在一起的移动节点组成，没有任何有线或物理基础设施。，使节点相互独立，部署简单。节点在适当范围内的任意移动使得网络动态，节点间路由困难。在manet中，路由由建立网络的源节点(sink)执行，没有中央接入点。因此，在manet中，接收器的数量非常重要。当节点以不同的速度移动，从而形成不可预测的网络，具有非特定的拓扑结构。这种网络有很多限制，比如由于节点的电池供电而导致的低能量。因此，必须根据可移动性来选择路由协议。选择合适的节点和sink个数，降低节点的能耗。在本研究中，我们提出了一种由三类(Tri-Classes)组成的方法来研究不同manet路由协议中节点和sink数量变化对接收包比(RPR)的影响，并对四种主要路由协议进行了比较。、AODV (Ad hoc On Demand Distance Vector)、DSDV (Destination Sequenced Distance Vector)、DSR(Dynamic Source Routing)和OLSR (Optimized Link State Routing)在不同节点大小(50、100和250个节点)和不同数量的sink(5、10和15)下。我们观察到，RPR完全受到节点和接收器数量变化的影响。一般来说，我们通过增加节点和接收器的数量来获得最佳的RPR。使用Network Simulator 3 (NS3)对协议进行仿真。
{"title":"A Tri-Classes Method for Studying the Impact of Nodes and Sinks Number on Received Packets Ratio of MANETs Routing Protocols","authors":"Huda A. Ahmed, H. Al-Asadi","doi":"10.1109/DeSE58274.2023.10100163","DOIUrl":"https://doi.org/10.1109/DeSE58274.2023.10100163","url":null,"abstract":"Mobile Ad hoc Networks (MANETs) consist of a set of mobile nodes connected together without any wired or physical infrastructure., which makes nodes independent and simple in deployment. The arbitrary movement of nodes within appropriate range area makes dynamic network and routing between there nodes is difficult. In MANETs the routes are performed by the source nodes (sinks) that establish the network without central access point., so number of sinks is very important in MANETs. When the nodes moving at a variant speed thus making unpredicted network that have unspecific topology. That networks have many limitations such as low energy due to the battery powered of its nodes. Therefore, routing protocols must be used based on the mobility., suitable nodes and sinks numbers, and reducing the energy consumption of the nodes. In this research we proposed a methods consist of three classes (Tri-Classes) to study the impact of changing numbers of nodes and sinks on Received Packets Ratio (RPR) for different MANETs routing protocols, the comparison includes the four major routing protocols., AODV (Ad hoc On Demand Distance Vector), DSDV (Destination Sequenced Distance Vector), DSR(Dynamic Source Routing), and OLSR (Optimized Link State Routing) under various nodes size (50, 100, and 250 nodes) and variant numbers of sinks (5, 10, and 15). We observed that the RPR is completely affected by changing numbers of nodes and sinks. In general we obtain best RPR by increasing nodes and sinks numbers. The protocols were simulated using Network Simulator 3 (NS3).","PeriodicalId":346847,"journal":{"name":"2023 15th International Conference on Developments in eSystems Engineering (DeSE)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123116624","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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