Pub Date : 2021-08-17DOI: 10.1109/ICUFN49451.2021.9528827
Dong‐Su Choi, Yoon-Seon Choi, Minseok Baik, B. Jung, J. Woo
In this paper, we suggest an RFID tag antenna for ultrahigh frequency band for radio frequency identification for drug runout management and a float motion detection that can be used in hospitals and fishing. The RFID tag antenna works as a sensor which warns of drug runout when the drug inside the drip chamber is completely consumed, while it does not work if the drug remains inside the drop chamber. Also, the antenna which attached to the fishing float propagates signals when it is exposed to air, but it does not work when submerged in water. The fabricated antenna has an average omnidirectional reading range of 10.65 m in the horizontal plane.
{"title":"RFID Tag Antenna Attached to Drug Nozzle and Electronic Fishing Float","authors":"Dong‐Su Choi, Yoon-Seon Choi, Minseok Baik, B. Jung, J. Woo","doi":"10.1109/ICUFN49451.2021.9528827","DOIUrl":"https://doi.org/10.1109/ICUFN49451.2021.9528827","url":null,"abstract":"In this paper, we suggest an RFID tag antenna for ultrahigh frequency band for radio frequency identification for drug runout management and a float motion detection that can be used in hospitals and fishing. The RFID tag antenna works as a sensor which warns of drug runout when the drug inside the drip chamber is completely consumed, while it does not work if the drug remains inside the drop chamber. Also, the antenna which attached to the fishing float propagates signals when it is exposed to air, but it does not work when submerged in water. The fabricated antenna has an average omnidirectional reading range of 10.65 m in the horizontal plane.","PeriodicalId":318542,"journal":{"name":"2021 Twelfth International Conference on Ubiquitous and Future Networks (ICUFN)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125515141","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 : 2021-08-17DOI: 10.1109/ICUFN49451.2021.9528553
N. Gul, Saeed Ahmed, Najeebullah, S. Kim, Junsu Kim
In cognitive radio network (CRN) cognitive radio users (CRUs) try to utilize the radio spectrum of the licensed primary uses (PUs) without creating disturbances. To do that efficient spectrum sensing is one of the key jobs at the SUs part. As the individual user sensing performance is not considered authentic and reliable in the multiple channel effects of fading, shadowing, and receiver uncertainties, therefore, cooperative spectrum sensing (CSS) provides an optimal solution to be deployed in these environments. One major problem for CSS is to deal with abnormal sensing reports of the reporting users. A malicious user (MU) reports false sensing data to the fusion center (FC) so that to create confusion about the PU's existence. In this paper particle swarm optimization (PSO) algorithm is tested to reduce the impact of MUs in the FC decision. The cooperative users report their channel findings to the FC, where PSO tries to find the existence of any abnormality in the sensing data. The results are confirmed through extensive simulation at different combination of MUs that shows the proposed scheme effectiveness.
{"title":"Robust Spectrum Sensing Employing PSO","authors":"N. Gul, Saeed Ahmed, Najeebullah, S. Kim, Junsu Kim","doi":"10.1109/ICUFN49451.2021.9528553","DOIUrl":"https://doi.org/10.1109/ICUFN49451.2021.9528553","url":null,"abstract":"In cognitive radio network (CRN) cognitive radio users (CRUs) try to utilize the radio spectrum of the licensed primary uses (PUs) without creating disturbances. To do that efficient spectrum sensing is one of the key jobs at the SUs part. As the individual user sensing performance is not considered authentic and reliable in the multiple channel effects of fading, shadowing, and receiver uncertainties, therefore, cooperative spectrum sensing (CSS) provides an optimal solution to be deployed in these environments. One major problem for CSS is to deal with abnormal sensing reports of the reporting users. A malicious user (MU) reports false sensing data to the fusion center (FC) so that to create confusion about the PU's existence. In this paper particle swarm optimization (PSO) algorithm is tested to reduce the impact of MUs in the FC decision. The cooperative users report their channel findings to the FC, where PSO tries to find the existence of any abnormality in the sensing data. The results are confirmed through extensive simulation at different combination of MUs that shows the proposed scheme effectiveness.","PeriodicalId":318542,"journal":{"name":"2021 Twelfth International Conference on Ubiquitous and Future Networks (ICUFN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129699058","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 : 2021-08-17DOI: 10.1109/ICUFN49451.2021.9528816
KangWoon Hong, Tae Gyu Kang
This study aims to present the results of the research and development project on the urban inundation prediction technology during the heavy rain period. In this study, the results of rainfall prediction using heterogeneous weather data and machine learning are presented. In the predictive analysis of univariate time series data, it was confirmed that the CNN-LSTM model showed the best performance among several deep neural network models. In the predictive analysis of multivariate time series data, it was confirmed that the ConvLSTM model showed the best performance among several deep neural network models.
{"title":"A Study on Rainfall Prediction based on Meteorological Time Series","authors":"KangWoon Hong, Tae Gyu Kang","doi":"10.1109/ICUFN49451.2021.9528816","DOIUrl":"https://doi.org/10.1109/ICUFN49451.2021.9528816","url":null,"abstract":"This study aims to present the results of the research and development project on the urban inundation prediction technology during the heavy rain period. In this study, the results of rainfall prediction using heterogeneous weather data and machine learning are presented. In the predictive analysis of univariate time series data, it was confirmed that the CNN-LSTM model showed the best performance among several deep neural network models. In the predictive analysis of multivariate time series data, it was confirmed that the ConvLSTM model showed the best performance among several deep neural network models.","PeriodicalId":318542,"journal":{"name":"2021 Twelfth International Conference on Ubiquitous and Future Networks (ICUFN)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129436740","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 : 2021-08-17DOI: 10.1109/ICUFN49451.2021.9528717
M. Saad, Md. Mahmudul Islam, M. Tariq, Muhammad Toaha Raza Khan, Dongkyun Kim
Intelligent Transport System (ITS) provides an efficient solution to road safety traffic. To support safety applications, cellular vehicle-to-everything (C-V2X) is developed by third generation partnership project (3GPP). C-V2X support two modes of communication as mode 3 and mode 4. In mode 4, vehicles reserve the resources based on their local observations using semi-persistent scheduling (SPS). If two vehicles, simultaneously select the same resources, it will lead to resource contention. This arises the consensus problem. To overcome this, in this paper we proposed the multi agent collaborative deep reinforcement learning based scheme. A single deep Q network (DQN) is trained for each zone. Each zone is preconfigured with resources which constitute a resource pool. A reward function is shared between the vehicles that belong to the same pool. This approach makes the vehicles to collaborate rather than compete in selecting the resources for their transmission. The proposed scheme is compared with the random resource allocation in C-V2X. The results show that the proposed scheme outperforms even in dense vehicular environment.
{"title":"Collaborative Multi-Agent Resource Allocation in C-V2X Mode 4","authors":"M. Saad, Md. Mahmudul Islam, M. Tariq, Muhammad Toaha Raza Khan, Dongkyun Kim","doi":"10.1109/ICUFN49451.2021.9528717","DOIUrl":"https://doi.org/10.1109/ICUFN49451.2021.9528717","url":null,"abstract":"Intelligent Transport System (ITS) provides an efficient solution to road safety traffic. To support safety applications, cellular vehicle-to-everything (C-V2X) is developed by third generation partnership project (3GPP). C-V2X support two modes of communication as mode 3 and mode 4. In mode 4, vehicles reserve the resources based on their local observations using semi-persistent scheduling (SPS). If two vehicles, simultaneously select the same resources, it will lead to resource contention. This arises the consensus problem. To overcome this, in this paper we proposed the multi agent collaborative deep reinforcement learning based scheme. A single deep Q network (DQN) is trained for each zone. Each zone is preconfigured with resources which constitute a resource pool. A reward function is shared between the vehicles that belong to the same pool. This approach makes the vehicles to collaborate rather than compete in selecting the resources for their transmission. The proposed scheme is compared with the random resource allocation in C-V2X. The results show that the proposed scheme outperforms even in dense vehicular environment.","PeriodicalId":318542,"journal":{"name":"2021 Twelfth International Conference on Ubiquitous and Future Networks (ICUFN)","volume":"361 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115930482","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 : 2021-08-17DOI: 10.1109/ICUFN49451.2021.9528649
M. Rahman, Toufiq Aziz, H. Ryu
Electronic Health Records (EHR) and monitoring are very essential and nowadays, a large number of Internet of Things (IoT) health care devices are available but it has still difficulties to log the real time patient monitoring like heart rate variability (HRV) in the healthcare checkup center. Generally, heart rate variability (HRV) is widely assumed for evaluating the health condition of human. One of the best ways to observe the heart rate variability (HVR) information is the Electrocardiograms (ECG) for that the wired manner is the ordinary approach. Even though any wireless ECG system was suggested, the low accuracy, very short service range and the limited battery life are the major drawbacks. So, in this paper, we like to propose a new Ultra High Frequency (UHF) Radio Frequency Identification (RFID) communication system to monitor ECG signals about the heart activities. The system is designed based on the ESPAR (electronically steerable parasitic array radiator) antenna to make a beamforming to the direction of the RFID tag containing ECG sensor. Also, this paper investigates the distance between the sensor tag and the RFID reader to improve the link budget of the UHF-RFID system. Finally, it is demonstrated that the range is longer higher than the previously results.
{"title":"UHF RFID Wireless Communication System for Real Time ECG Monitoring","authors":"M. Rahman, Toufiq Aziz, H. Ryu","doi":"10.1109/ICUFN49451.2021.9528649","DOIUrl":"https://doi.org/10.1109/ICUFN49451.2021.9528649","url":null,"abstract":"Electronic Health Records (EHR) and monitoring are very essential and nowadays, a large number of Internet of Things (IoT) health care devices are available but it has still difficulties to log the real time patient monitoring like heart rate variability (HRV) in the healthcare checkup center. Generally, heart rate variability (HRV) is widely assumed for evaluating the health condition of human. One of the best ways to observe the heart rate variability (HVR) information is the Electrocardiograms (ECG) for that the wired manner is the ordinary approach. Even though any wireless ECG system was suggested, the low accuracy, very short service range and the limited battery life are the major drawbacks. So, in this paper, we like to propose a new Ultra High Frequency (UHF) Radio Frequency Identification (RFID) communication system to monitor ECG signals about the heart activities. The system is designed based on the ESPAR (electronically steerable parasitic array radiator) antenna to make a beamforming to the direction of the RFID tag containing ECG sensor. Also, this paper investigates the distance between the sensor tag and the RFID reader to improve the link budget of the UHF-RFID system. Finally, it is demonstrated that the range is longer higher than the previously results.","PeriodicalId":318542,"journal":{"name":"2021 Twelfth International Conference on Ubiquitous and Future Networks (ICUFN)","volume":"451 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115286641","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 : 2021-08-17DOI: 10.1109/ICUFN49451.2021.9528807
Jung-Hyun Lee, Kangyoon Lee
This paper presents the design and implementation of a 12-bit charge sharing analog-to-digital converter(ADC) composed of an integrated RF transceiver based on low noise, low area, and low power for ultrasound diagnostic medical devices. The proposed charge sharing DAC architecture consists of unit capacitor array and switches with low threshold voltage devices to minimize the size of the ADC. Thus, the proposed ADC had the size of 1600um x 505um with 130nm CMOS process. For the input frequency of 5MHz, the designed ADC had ENOB of 10.64-bit and SNDR of 65.82dB with the current consumption of 8.172mA for 8-channel.
本文介绍了一种基于低噪声、低面积、低功耗的超声诊断医疗设备的12位电荷共享模数转换器(ADC)的设计与实现。所提出的电荷共享DAC架构由单元电容阵列和具有低阈值电压器件的开关组成，以最小化ADC的尺寸。因此，所提出的ADC尺寸为1600um x 505um，采用130nm CMOS工艺。输入频率为5MHz时，设计的ADC ENOB为10.64位，SNDR为65.82dB, 8通道电流消耗为8.172mA。
{"title":"A Design of 20MS/s 12-bit Charge Sharing SAR ADC for Ultrasound Diagnostic Medical Devices","authors":"Jung-Hyun Lee, Kangyoon Lee","doi":"10.1109/ICUFN49451.2021.9528807","DOIUrl":"https://doi.org/10.1109/ICUFN49451.2021.9528807","url":null,"abstract":"This paper presents the design and implementation of a 12-bit charge sharing analog-to-digital converter(ADC) composed of an integrated RF transceiver based on low noise, low area, and low power for ultrasound diagnostic medical devices. The proposed charge sharing DAC architecture consists of unit capacitor array and switches with low threshold voltage devices to minimize the size of the ADC. Thus, the proposed ADC had the size of 1600um x 505um with 130nm CMOS process. For the input frequency of 5MHz, the designed ADC had ENOB of 10.64-bit and SNDR of 65.82dB with the current consumption of 8.172mA for 8-channel.","PeriodicalId":318542,"journal":{"name":"2021 Twelfth International Conference on Ubiquitous and Future Networks (ICUFN)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121627562","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 : 2021-08-17DOI: 10.1109/ICUFN49451.2021.9528585
Young-Suk Yoon, Hyunwoo Cho, Chanho Park, Sangheon Park
We propose an augmented reality(AR) musical service in which virtual actors perform on the stage of the real world, even if actors and audiences do not meet. The AR musical service proposed in this paper applied augmented reality technology using an AR platform we are developing. Here, part 1 of the augmented reality musical service is defined as the main performance of the augmented reality based musicals. First, we generated a map of a real stage space in the real world that can provide non-face-to-face musicals using AR technology. In addition, we created an AR application that can show virtual actors, their performance, their songs, and virtual stage props and effects appearing in the proposed AR musical service. Finally, we used AR technology to allow multiple audiences to enjoy the proposed AR musical service together in the stage space of the real world. In this paper, it was possible to confirm whether multiple audiences could watch the proposed AR musical service together in which the virtual actors perform on a real stage as if it were real musicals.
{"title":"Augmented Reality Musical Service Part 1 for Non-face-to-face Watching by Multiple Audiences","authors":"Young-Suk Yoon, Hyunwoo Cho, Chanho Park, Sangheon Park","doi":"10.1109/ICUFN49451.2021.9528585","DOIUrl":"https://doi.org/10.1109/ICUFN49451.2021.9528585","url":null,"abstract":"We propose an augmented reality(AR) musical service in which virtual actors perform on the stage of the real world, even if actors and audiences do not meet. The AR musical service proposed in this paper applied augmented reality technology using an AR platform we are developing. Here, part 1 of the augmented reality musical service is defined as the main performance of the augmented reality based musicals. First, we generated a map of a real stage space in the real world that can provide non-face-to-face musicals using AR technology. In addition, we created an AR application that can show virtual actors, their performance, their songs, and virtual stage props and effects appearing in the proposed AR musical service. Finally, we used AR technology to allow multiple audiences to enjoy the proposed AR musical service together in the stage space of the real world. In this paper, it was possible to confirm whether multiple audiences could watch the proposed AR musical service together in which the virtual actors perform on a real stage as if it were real musicals.","PeriodicalId":318542,"journal":{"name":"2021 Twelfth International Conference on Ubiquitous and Future Networks (ICUFN)","volume":"90 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114010452","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 : 2021-08-17DOI: 10.1109/ICUFN49451.2021.9528686
Sophie X. Liu, Rohan George Aby, Matthew R. Samuelson, Tevin Macias, Emily A. Garvie
Education is moving away from traditional rows of students looking at the same textbook while a teacher lectures from the front of the room. Today's classrooms are evolving to use more technology and digital resources. Students are more interested learning technical material if they can see useful applications for it. When teaching the digital signal processing (DSP) course, it is possible to develop projects to show how the techniques can be used in real world application. This paper presents three simple, yet interesting projects in the author's undergraduate DSP course to motivate the students learning the Fast Fourier Transform (FFT).
{"title":"Interesting Projects To Strenghthen DSP Teaching","authors":"Sophie X. Liu, Rohan George Aby, Matthew R. Samuelson, Tevin Macias, Emily A. Garvie","doi":"10.1109/ICUFN49451.2021.9528686","DOIUrl":"https://doi.org/10.1109/ICUFN49451.2021.9528686","url":null,"abstract":"Education is moving away from traditional rows of students looking at the same textbook while a teacher lectures from the front of the room. Today's classrooms are evolving to use more technology and digital resources. Students are more interested learning technical material if they can see useful applications for it. When teaching the digital signal processing (DSP) course, it is possible to develop projects to show how the techniques can be used in real world application. This paper presents three simple, yet interesting projects in the author's undergraduate DSP course to motivate the students learning the Fast Fourier Transform (FFT).","PeriodicalId":318542,"journal":{"name":"2021 Twelfth International Conference on Ubiquitous and Future Networks (ICUFN)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114466713","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 : 2021-08-17DOI: 10.1109/ICUFN49451.2021.9528775
Sudhanshu Arya, Yeon-ho Chung
In this paper, we propose a novel artificial neural network (ANN)-based supervised learning algorithm for the classification of the received optical signal in underwater optical wireless communication systems. This work is regarded as the first of its kind in terms of both novel activation function for underwater optical systems and developed supervised learning algorithm. The proposed activation function is smooth and differentiable at zero. It is found that the proposed supervised learning algorithm for optical signal estimation performs well without any knowledge of the channel state information (CSI) of the underlying optical wireless channel. Furthermore, the bit-error-rate (BER) performance of the proposed ANN-based algorithm is independent of the learning rate.
{"title":"Supervised Learning-Based Noisy Optical Signal Estimation for Underwater Optical Wireless Communications","authors":"Sudhanshu Arya, Yeon-ho Chung","doi":"10.1109/ICUFN49451.2021.9528775","DOIUrl":"https://doi.org/10.1109/ICUFN49451.2021.9528775","url":null,"abstract":"In this paper, we propose a novel artificial neural network (ANN)-based supervised learning algorithm for the classification of the received optical signal in underwater optical wireless communication systems. This work is regarded as the first of its kind in terms of both novel activation function for underwater optical systems and developed supervised learning algorithm. The proposed activation function is smooth and differentiable at zero. It is found that the proposed supervised learning algorithm for optical signal estimation performs well without any knowledge of the channel state information (CSI) of the underlying optical wireless channel. Furthermore, the bit-error-rate (BER) performance of the proposed ANN-based algorithm is independent of the learning rate.","PeriodicalId":318542,"journal":{"name":"2021 Twelfth International Conference on Ubiquitous and Future Networks (ICUFN)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114824123","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 : 2021-08-17DOI: 10.1109/ICUFN49451.2021.9528688
Tsuyoshi Kobayashi, Taiki Suehiro, O. Takyu, Y. Fuwa
In recent years, dynamic frequency sharing using radio sensors to observe radio wave usage has been attracting attention in response to the shortage of frequency resources. In this paper, we propose an event-driven access control system that notifies the user when the Received Signal Strength Indicator (RSSI) exceeds a certain level, in order to detect the radio wave usage of the existing system. In this paper, we propose a new method of access control based on cluster partitioning. In this paper, we studied an exploratory data aggregation method for each sensor group using cluster division. In this paper, we propose an exploratory data aggregation method for each sensor group using cluster division.
{"title":"Examination of efficient aggregation method of sensor information by wireless sensor network for event detection in frequency sharing","authors":"Tsuyoshi Kobayashi, Taiki Suehiro, O. Takyu, Y. Fuwa","doi":"10.1109/ICUFN49451.2021.9528688","DOIUrl":"https://doi.org/10.1109/ICUFN49451.2021.9528688","url":null,"abstract":"In recent years, dynamic frequency sharing using radio sensors to observe radio wave usage has been attracting attention in response to the shortage of frequency resources. In this paper, we propose an event-driven access control system that notifies the user when the Received Signal Strength Indicator (RSSI) exceeds a certain level, in order to detect the radio wave usage of the existing system. In this paper, we propose a new method of access control based on cluster partitioning. In this paper, we studied an exploratory data aggregation method for each sensor group using cluster division. In this paper, we propose an exploratory data aggregation method for each sensor group using cluster division.","PeriodicalId":318542,"journal":{"name":"2021 Twelfth International Conference on Ubiquitous and Future Networks (ICUFN)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114829157","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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