Pub Date : 2018-10-01DOI: 10.1109/CEIT.2018.8751852
Bilal Tahir, Kamran Amjad, Samar Firdous, M. Mehmood
Public health surveillance by traditional means is a costly and time consuming process. Today, the widespread use of social media has enabled researchers to study different aspects of life such as health, lifestyle, etc. Anonymous postings on these forums enable people to benefit from the collective experience of others facing similar problems. To effectively discern target data from the outliers in a web corpus, an efficient mechanism is required. Traditional approaches such as keyword-based filtering results in the loss of relevant data due to limited vocabulary and lack of contextual information. In this paper, we present a data filtration framework based on Long short-term memory (LSTM) recurrent neural network model for one-class text classification. We compare similarity of regenerated texts using this model for each disease with the original text using Recall-Oriented Understudy for Gisting Evaluation (ROUGE) metric for outlier filtration and classification. Optimal value of ROUGE similarity threshold is determined by introducing an optimization parameter that minimizes the misclassification rate. Leveraging data from three major online health forums, we show that our classification technique outperforms keyword-based filtering and conventional approach of multi-class text classification. Our classification technique can be effectively used for online social networks, search engines, and online recommender systems.
{"title":"Public Health Surveillance System for Online Social Networks using One-Class Text Classification","authors":"Bilal Tahir, Kamran Amjad, Samar Firdous, M. Mehmood","doi":"10.1109/CEIT.2018.8751852","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751852","url":null,"abstract":"Public health surveillance by traditional means is a costly and time consuming process. Today, the widespread use of social media has enabled researchers to study different aspects of life such as health, lifestyle, etc. Anonymous postings on these forums enable people to benefit from the collective experience of others facing similar problems. To effectively discern target data from the outliers in a web corpus, an efficient mechanism is required. Traditional approaches such as keyword-based filtering results in the loss of relevant data due to limited vocabulary and lack of contextual information. In this paper, we present a data filtration framework based on Long short-term memory (LSTM) recurrent neural network model for one-class text classification. We compare similarity of regenerated texts using this model for each disease with the original text using Recall-Oriented Understudy for Gisting Evaluation (ROUGE) metric for outlier filtration and classification. Optimal value of ROUGE similarity threshold is determined by introducing an optimization parameter that minimizes the misclassification rate. Leveraging data from three major online health forums, we show that our classification technique outperforms keyword-based filtering and conventional approach of multi-class text classification. Our classification technique can be effectively used for online social networks, search engines, and online recommender systems.","PeriodicalId":357613,"journal":{"name":"2018 6th International Conference on Control Engineering & Information Technology (CEIT)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114201610","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 : 2018-10-01DOI: 10.1109/CEIT.2018.8751806
Mert Can Kurucu, E. Yumuk, M. Güzelkaya, I. Eksin
In this study, an online-tuning method for derivative order term of Fractional PD and Filtered Fractional PI controllers is presented. For this purpose, closed-loop step response is divided to certain regions and a different tuning strategy is proposed for each region. These tuning strategies basically depend on the error between the system output and reference input. The strategy formulas are formed as linear equations arranged in terms of system error and system time constant. Simulations are performed to show the effectiveness of the proposed on-line tuning method on various systems.
{"title":"Online Tuning of Derivative Order Term in Fractional Controllers","authors":"Mert Can Kurucu, E. Yumuk, M. Güzelkaya, I. Eksin","doi":"10.1109/CEIT.2018.8751806","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751806","url":null,"abstract":"In this study, an online-tuning method for derivative order term of Fractional PD and Filtered Fractional PI controllers is presented. For this purpose, closed-loop step response is divided to certain regions and a different tuning strategy is proposed for each region. These tuning strategies basically depend on the error between the system output and reference input. The strategy formulas are formed as linear equations arranged in terms of system error and system time constant. Simulations are performed to show the effectiveness of the proposed on-line tuning method on various systems.","PeriodicalId":357613,"journal":{"name":"2018 6th International Conference on Control Engineering & Information Technology (CEIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115846562","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 : 2018-10-01DOI: 10.1109/CEIT.2018.8751819
Billie Pratama, A. Muis, Aries Subiantoro, M. Djemai, R. Ben Atitallah
The aim of this paper is to build a trajectory tracking system considering the attitude of the quadrotor. Nowadays, quadcopter is often used for taking landscape pictures. The roll pitch Euler angle of the quadcopter greatly affects the resulting pictures so that it needs to be controlled. As a limitation, the roll pitch Euler angle based on inertial reference frame is not allowed to be more than fifteen degrees. Two main factors that affect the Euler angle of quadcopter are velocity and acceleration. Therefore, the velocity and acceleration of the UAV is maintained. A linear regression method is used to determine the velocity and acceleration reference that affect the resulting Euler angle. PID (Proportional, Integral, Derivative) controller is used as the controller method for the tracking control system. Finally, the trajectory tracking and attitude control is evaluated through simulation with ROS and Gazebo.
{"title":"Quadcopter Trajectory Tracking and Attitude Control Based on Euler Angle Limitation","authors":"Billie Pratama, A. Muis, Aries Subiantoro, M. Djemai, R. Ben Atitallah","doi":"10.1109/CEIT.2018.8751819","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751819","url":null,"abstract":"The aim of this paper is to build a trajectory tracking system considering the attitude of the quadrotor. Nowadays, quadcopter is often used for taking landscape pictures. The roll pitch Euler angle of the quadcopter greatly affects the resulting pictures so that it needs to be controlled. As a limitation, the roll pitch Euler angle based on inertial reference frame is not allowed to be more than fifteen degrees. Two main factors that affect the Euler angle of quadcopter are velocity and acceleration. Therefore, the velocity and acceleration of the UAV is maintained. A linear regression method is used to determine the velocity and acceleration reference that affect the resulting Euler angle. PID (Proportional, Integral, Derivative) controller is used as the controller method for the tracking control system. Finally, the trajectory tracking and attitude control is evaluated through simulation with ROS and Gazebo.","PeriodicalId":357613,"journal":{"name":"2018 6th International Conference on Control Engineering & Information Technology (CEIT)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124897651","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 : 2018-10-01DOI: 10.1109/CEIT.2018.8751908
Ladjouzi Samir, G. Said, Soufi Youcef
In this paper, a novel approach to determine the optimal values of a PID controller is presented. The proposed method is based on using a single memory neuron which its weights represent the PID parameters. These weights are updated by the well-known bio-inspired algorithm: the particle swarm optimization. To show the efficiency of our method, we have applied it to control a DC servo motor which is used as an actuator for an arm robot manipulator. The obtained results are compared with those a fuzzy logic controller.
{"title":"PID Control of DC Servo Motor using a Single Memory Neuron","authors":"Ladjouzi Samir, G. Said, Soufi Youcef","doi":"10.1109/CEIT.2018.8751908","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751908","url":null,"abstract":"In this paper, a novel approach to determine the optimal values of a PID controller is presented. The proposed method is based on using a single memory neuron which its weights represent the PID parameters. These weights are updated by the well-known bio-inspired algorithm: the particle swarm optimization. To show the efficiency of our method, we have applied it to control a DC servo motor which is used as an actuator for an arm robot manipulator. The obtained results are compared with those a fuzzy logic controller.","PeriodicalId":357613,"journal":{"name":"2018 6th International Conference on Control Engineering & Information Technology (CEIT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124906450","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 : 2018-10-01DOI: 10.1109/CEIT.2018.8751704
Şamil Baycan Yalçın, Mahir Bülent Başel, A. N. Mete
This paper presents an adaptive time delay compensator design based on PMU signals for damping inter-area oscillations. Proposed design employs an adaptive switching period selection algorithm in order to provide near real-time delay compensation. Switching period is decreased adaptively when time delay characteristics change fast. For slow changing dynamics of time delay, the algorithm picks longer switching periods in order to prevent sustained oscillations. Benchmark model of the two area power system and a designed random delay model are employed for simulations. The algorithm is shown to be successful in tracking the fast changing dynamics of a communication network through simulations.
{"title":"An Adaptive Wide-Area Damping Control Scheme Considering Networked Induced Time Delays","authors":"Şamil Baycan Yalçın, Mahir Bülent Başel, A. N. Mete","doi":"10.1109/CEIT.2018.8751704","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751704","url":null,"abstract":"This paper presents an adaptive time delay compensator design based on PMU signals for damping inter-area oscillations. Proposed design employs an adaptive switching period selection algorithm in order to provide near real-time delay compensation. Switching period is decreased adaptively when time delay characteristics change fast. For slow changing dynamics of time delay, the algorithm picks longer switching periods in order to prevent sustained oscillations. Benchmark model of the two area power system and a designed random delay model are employed for simulations. The algorithm is shown to be successful in tracking the fast changing dynamics of a communication network through simulations.","PeriodicalId":357613,"journal":{"name":"2018 6th International Conference on Control Engineering & Information Technology (CEIT)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121880404","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 : 2018-10-01DOI: 10.1109/CEIT.2018.8751858
Aytaç Altan, Özgür Aslan, R. Hacıoğlu
The effective control of gimbal, Vertical Take-Off and Landing (VTOL) and Load Transporting System (LTS) in Unmanned Aerial Vehicles (UAV), which are widely used in mapping, search-and-rescue, exploration and surveillance, border security, real-time image transfer by tracking target and leaving payloads to specified targets in hazardous regions directly affect task performance. In this study, Model Reference Adaptive Control (MRAC) of LTS which has an important role to be able to leave payloads on UAV in real time with minimum error to specified targets is carried out and its effect on duty performance is investigated. The three payloads in the cubic structure are transported by LTS originally designed for real-time specified targets. DC gear motors are used in the LTS so that payloads can be left to real time specified targets. Environmental testing is conducted taking into account the limitations of the physical properties of the LTS on the autonomously moving UAV, and the impact on MRAC’s mission performance is examined.
{"title":"Model Reference Adaptive Control of Load Transporting System on Unmanned Aerial Vehicle","authors":"Aytaç Altan, Özgür Aslan, R. Hacıoğlu","doi":"10.1109/CEIT.2018.8751858","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751858","url":null,"abstract":"The effective control of gimbal, Vertical Take-Off and Landing (VTOL) and Load Transporting System (LTS) in Unmanned Aerial Vehicles (UAV), which are widely used in mapping, search-and-rescue, exploration and surveillance, border security, real-time image transfer by tracking target and leaving payloads to specified targets in hazardous regions directly affect task performance. In this study, Model Reference Adaptive Control (MRAC) of LTS which has an important role to be able to leave payloads on UAV in real time with minimum error to specified targets is carried out and its effect on duty performance is investigated. The three payloads in the cubic structure are transported by LTS originally designed for real-time specified targets. DC gear motors are used in the LTS so that payloads can be left to real time specified targets. Environmental testing is conducted taking into account the limitations of the physical properties of the LTS on the autonomously moving UAV, and the impact on MRAC’s mission performance is examined.","PeriodicalId":357613,"journal":{"name":"2018 6th International Conference on Control Engineering & Information Technology (CEIT)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122090157","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 : 2018-10-01DOI: 10.1109/CEIT.2018.8751791
Zied Ben Hazem, Mohammad Javad Fotuhi, Z. Bingül
Rotary Inverted Pendulums (RIP) are mechatronic systems that include a nonlinearity due to the frictions in the joints. RIP is the most convenient example to understand the influence of the frictions on the dynamics of the motion systems. In this paper, an adaptive friction coefficients estimation method was developed to estimate the frictions in three pendulums joints of a Rotary Triple Inverted Pendulums (RTIP) and compared with existing friction estimation models in the literature such as Non-conservative, Linear, and Non-Linear friction models. Joint accelerations were classified into three groups such as low, medium and high. The adaptive friction coefficients were optimized based on this classification of acceleration. Based on the position RMSEs obtained from each joint friction model, the adaptive friction estimation method was much better than the existing friction estimation models in the literature. Among the friction estimation models, the best results were produced by Adaptive Non-linear Friction model.
{"title":"A Comparative Study of the Friction Models with Adaptive Coefficients for a Rotary Triple Inverted Pendulum","authors":"Zied Ben Hazem, Mohammad Javad Fotuhi, Z. Bingül","doi":"10.1109/CEIT.2018.8751791","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751791","url":null,"abstract":"Rotary Inverted Pendulums (RIP) are mechatronic systems that include a nonlinearity due to the frictions in the joints. RIP is the most convenient example to understand the influence of the frictions on the dynamics of the motion systems. In this paper, an adaptive friction coefficients estimation method was developed to estimate the frictions in three pendulums joints of a Rotary Triple Inverted Pendulums (RTIP) and compared with existing friction estimation models in the literature such as Non-conservative, Linear, and Non-Linear friction models. Joint accelerations were classified into three groups such as low, medium and high. The adaptive friction coefficients were optimized based on this classification of acceleration. Based on the position RMSEs obtained from each joint friction model, the adaptive friction estimation method was much better than the existing friction estimation models in the literature. Among the friction estimation models, the best results were produced by Adaptive Non-linear Friction model.","PeriodicalId":357613,"journal":{"name":"2018 6th International Conference on Control Engineering & Information Technology (CEIT)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121384463","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 : 2018-10-01DOI: 10.1109/CEIT.2018.8751919
Muhammed Ali Nur Oz, Bilal Erol, L. Ucun
Disturbance attenuation problem is considered as an important topic in control literature. This paper deals with the design of HOSIDF (Higher Order Sinusoidal Input Describing Functions) based Chebyshev structured compensator in order to increase the disturbance attenuation performance of the system involving actuator saturation. This study consists of the proposed compensator design in addition to ℋ∞ dynamic output feedback controller that already exists in the system. The simulation studies are carried out with an active suspension system which is known as a benchmark problem in control literature. The improvement in disturbance attenuation performance of the closed loop system involving HOSIDF-based compensator is illustrated with time-domain and harmonic plots.
{"title":"HOSIDF-based Chebyshev Structured Compensator Design for Disturbance Attenuation Problem","authors":"Muhammed Ali Nur Oz, Bilal Erol, L. Ucun","doi":"10.1109/CEIT.2018.8751919","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751919","url":null,"abstract":"Disturbance attenuation problem is considered as an important topic in control literature. This paper deals with the design of HOSIDF (Higher Order Sinusoidal Input Describing Functions) based Chebyshev structured compensator in order to increase the disturbance attenuation performance of the system involving actuator saturation. This study consists of the proposed compensator design in addition to ℋ∞ dynamic output feedback controller that already exists in the system. The simulation studies are carried out with an active suspension system which is known as a benchmark problem in control literature. The improvement in disturbance attenuation performance of the closed loop system involving HOSIDF-based compensator is illustrated with time-domain and harmonic plots.","PeriodicalId":357613,"journal":{"name":"2018 6th International Conference on Control Engineering & Information Technology (CEIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114976982","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 : 2018-10-01DOI: 10.1109/CEIT.2018.8751869
Ismail Koc, E. Arslan
Nowadays, the competition between companies is rapidly increasing in every industry. This leads to companies trying to be prepared for the near future by forecasting business conditions. The estimated success rate in this context directly affects the success rate of the companies. Airline transport in Turkey, which has grown at a higher rate than Europe's, is an important part of the country's economy and transportation infrastructure. Furthermore, airports encourage development by motivating the commercial activities around them. In the competitive environment of airline transportation, successful forecasting is a crucial issue. Different methods such as multiple linear regression analysis, back-propagation neural networks (BPN), gravity models, multimode models, time series models are used in forecasting studies. In this study, an Artificial Neural Network (ANN) model is used for demand forecasting in domestic air transport in Turkey. In the scope of this study, AzureML, RScript and MATLAB were used for the dataset that is gained between 01.01.2007 - 01.11.2015 and some successful results were obtained. Pearson's correlation coefficient is used as the performance criteria for evaluation and it is observed that the results obtained from the proposed model are at an acceptable level which are gained between 0,79 and 0,93. Therefore, the proposed Artificial Neural Network (ANN) model can be used as a demand forecasting in many areas such as capacity planning, airport infrastructure planning, airplane investments in air transportation.
{"title":"Demand Forecasting for Domestic Air Transportation in Turkey using Artificial Neural Networks","authors":"Ismail Koc, E. Arslan","doi":"10.1109/CEIT.2018.8751869","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751869","url":null,"abstract":"Nowadays, the competition between companies is rapidly increasing in every industry. This leads to companies trying to be prepared for the near future by forecasting business conditions. The estimated success rate in this context directly affects the success rate of the companies. Airline transport in Turkey, which has grown at a higher rate than Europe's, is an important part of the country's economy and transportation infrastructure. Furthermore, airports encourage development by motivating the commercial activities around them. In the competitive environment of airline transportation, successful forecasting is a crucial issue. Different methods such as multiple linear regression analysis, back-propagation neural networks (BPN), gravity models, multimode models, time series models are used in forecasting studies. In this study, an Artificial Neural Network (ANN) model is used for demand forecasting in domestic air transport in Turkey. In the scope of this study, AzureML, RScript and MATLAB were used for the dataset that is gained between 01.01.2007 - 01.11.2015 and some successful results were obtained. Pearson's correlation coefficient is used as the performance criteria for evaluation and it is observed that the results obtained from the proposed model are at an acceptable level which are gained between 0,79 and 0,93. Therefore, the proposed Artificial Neural Network (ANN) model can be used as a demand forecasting in many areas such as capacity planning, airport infrastructure planning, airplane investments in air transportation.","PeriodicalId":357613,"journal":{"name":"2018 6th International Conference on Control Engineering & Information Technology (CEIT)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122712947","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 : 2018-10-01DOI: 10.1109/CEIT.2018.8751776
Murtaza Cicioğlu, A. Çalhan
Lightweight and low power sensor nodes designed for wireless body area networks (WBANs) are of great importance for being widespread e-health services. IEEE 802.15.6 standard is a new standard defined for the WBANs architecture. The purpose of this standard is to define specific standards for the physical and data link layers of various applications with different service quality requirements. In this study, the default energy consumption approach for the coordinator node of IEEE 802.15.6 standard is tackled, and as a result, a new algorithm is developed for energy consumption.In the traditional approach, the coordinator node is fixed for WBAN architecture. With the proposed algorithm the coordinator node is dynamically selected. This algorithm called dynamic HUB (or coordinator) selection (DHS) is performed with Riverbed Modeler simulation software with sample scenarios and the performance results are examined. Consequently, the coordinator node energy consumption level is reduced and the network lifetime of the architecture is extended significantly.
{"title":"Performance Evaluation of Dynamic HUB Selection Algorithm for WBAN","authors":"Murtaza Cicioğlu, A. Çalhan","doi":"10.1109/CEIT.2018.8751776","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751776","url":null,"abstract":"Lightweight and low power sensor nodes designed for wireless body area networks (WBANs) are of great importance for being widespread e-health services. IEEE 802.15.6 standard is a new standard defined for the WBANs architecture. The purpose of this standard is to define specific standards for the physical and data link layers of various applications with different service quality requirements. In this study, the default energy consumption approach for the coordinator node of IEEE 802.15.6 standard is tackled, and as a result, a new algorithm is developed for energy consumption.In the traditional approach, the coordinator node is fixed for WBAN architecture. With the proposed algorithm the coordinator node is dynamically selected. This algorithm called dynamic HUB (or coordinator) selection (DHS) is performed with Riverbed Modeler simulation software with sample scenarios and the performance results are examined. Consequently, the coordinator node energy consumption level is reduced and the network lifetime of the architecture is extended significantly.","PeriodicalId":357613,"journal":{"name":"2018 6th International Conference on Control Engineering & Information Technology (CEIT)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125404050","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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