Pub Date : 2020-05-01DOI: 10.1109/ZINC50678.2020.9161442
Dominik Birtić, M. Vranješ, Ž. Lukač, Gordana S. Velikic
Advanced driver-assistance systems (ADAS) are primarily intended to help drivers in traffic and to increase driving safety. Today a large number of engineers are developing different algorithms for ADAS. This results in large quantity of written program codes on a daily basis, which has to be tested. Note that a manual testing and writing a code for the manual testing is an arduous task. To satisfy the increasing testing needs, and to accelerate the testing process, we developed a graphical environment that allows users to create automated tests quickly and efficiently by a simple drag and drop method. The environment was created using a Node.js server, MongoDB and Blockly. Blockly was used to create blocks and to combine blocks to make scripts, i.e., automated tests for ADAS. Node.js was used to save blocks into the MongoDB database and to load existing blocks into the environment. The environment enables users to use existing blocks to create Python scripts and their own blocks which can be used to create Python scripts, and to edit or remove existing blocks. The environment was tested manually. Testing results showed that all functionalities work properly and that the environment enables users to generate different scripts for automated testing in an order of seconds.
{"title":"Graphic Environment for Generating Automated Tests and Documentation for ADAS","authors":"Dominik Birtić, M. Vranješ, Ž. Lukač, Gordana S. Velikic","doi":"10.1109/ZINC50678.2020.9161442","DOIUrl":"https://doi.org/10.1109/ZINC50678.2020.9161442","url":null,"abstract":"Advanced driver-assistance systems (ADAS) are primarily intended to help drivers in traffic and to increase driving safety. Today a large number of engineers are developing different algorithms for ADAS. This results in large quantity of written program codes on a daily basis, which has to be tested. Note that a manual testing and writing a code for the manual testing is an arduous task. To satisfy the increasing testing needs, and to accelerate the testing process, we developed a graphical environment that allows users to create automated tests quickly and efficiently by a simple drag and drop method. The environment was created using a Node.js server, MongoDB and Blockly. Blockly was used to create blocks and to combine blocks to make scripts, i.e., automated tests for ADAS. Node.js was used to save blocks into the MongoDB database and to load existing blocks into the environment. The environment enables users to use existing blocks to create Python scripts and their own blocks which can be used to create Python scripts, and to edit or remove existing blocks. The environment was tested manually. Testing results showed that all functionalities work properly and that the environment enables users to generate different scripts for automated testing in an order of seconds.","PeriodicalId":6731,"journal":{"name":"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"63 1","pages":"301-306"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79691668","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 : 2020-05-01DOI: 10.1109/ZINC50678.2020.9161444
Gülhan Ustabas Kaya, T. Onur
Holography has been used as an imaging method in various fields of science for many years. However, practical applications, challenging procedures and equipment requirements cause restrictions on the use of traditional holography. These requirements and constraints have led to the development of digital holography and digital holographic microscopy. Digital holographic microscopy (DHM) imaging method allows to identify the three dimensional profiles of very small biological samples and transparent objects optically. In digital holographic microscopy, there are substantial advantages in many respects such as obtaining holograms quickly, having complete amplitude and phase information and applying versatile image processing techniques. Although digital holographic microscopy enables the application of many image processing techniques, it is important for the reconstruction process that the recorded image is in the focus of the imaging systems. This paper deals the study of the focusing effects on the reconstructed image obtained from recorded hologram of clear and blurred images with simulation using MATLAB software. The results obtained show that the focusing process in the recording stage is an important factor affecting the construction of holograms and therefore reconstruction performance
{"title":"Investigation of The Focusing Effect on The Reconstructed Image Quality in Digital Holographic Microscopy","authors":"Gülhan Ustabas Kaya, T. Onur","doi":"10.1109/ZINC50678.2020.9161444","DOIUrl":"https://doi.org/10.1109/ZINC50678.2020.9161444","url":null,"abstract":"Holography has been used as an imaging method in various fields of science for many years. However, practical applications, challenging procedures and equipment requirements cause restrictions on the use of traditional holography. These requirements and constraints have led to the development of digital holography and digital holographic microscopy. Digital holographic microscopy (DHM) imaging method allows to identify the three dimensional profiles of very small biological samples and transparent objects optically. In digital holographic microscopy, there are substantial advantages in many respects such as obtaining holograms quickly, having complete amplitude and phase information and applying versatile image processing techniques. Although digital holographic microscopy enables the application of many image processing techniques, it is important for the reconstruction process that the recorded image is in the focus of the imaging systems. This paper deals the study of the focusing effects on the reconstructed image obtained from recorded hologram of clear and blurred images with simulation using MATLAB software. The results obtained show that the focusing process in the recording stage is an important factor affecting the construction of holograms and therefore reconstruction performance","PeriodicalId":6731,"journal":{"name":"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"19 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82931165","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 : 2020-05-01DOI: 10.1109/ZINC50678.2020.9161434
Amir Masuod Kianmanesh, A. Akhavan
In this paper, one-cycle control (OCC) method as an appropriate control scheme is applied and developed to control grid-connected inverters with the LCL filter for VAR compensation and injecting power to the grid. Also, particle swarm optimization (PSO) algorithm is employed to find the optimal LCL filter parameters by minimizing the total harmonic distortion (THD) of AC-side current as a cost function. LCL filters are generally applied in renewable power generation systems to smooth the injected current into the network because of their better attenuation capability and smaller elements than other filters. Although an LCL filter attenuates harmonics created by switches more effectively, due to its inherent resonance, it may cause stability issues. To create stable performance, either an active damping algorithm or a physical damping resistor should be used. However, a physical resistor causes additional power loss and slower dynamic response, while by adding a digital filter as a conventional virtual resistor and modifying the control scheme, the above-mentioned problems could be solved.
{"title":"Power Control of Grid-Connected Inverters Using One-Cycle Control Method for PV Systems","authors":"Amir Masuod Kianmanesh, A. Akhavan","doi":"10.1109/ZINC50678.2020.9161434","DOIUrl":"https://doi.org/10.1109/ZINC50678.2020.9161434","url":null,"abstract":"In this paper, one-cycle control (OCC) method as an appropriate control scheme is applied and developed to control grid-connected inverters with the LCL filter for VAR compensation and injecting power to the grid. Also, particle swarm optimization (PSO) algorithm is employed to find the optimal LCL filter parameters by minimizing the total harmonic distortion (THD) of AC-side current as a cost function. LCL filters are generally applied in renewable power generation systems to smooth the injected current into the network because of their better attenuation capability and smaller elements than other filters. Although an LCL filter attenuates harmonics created by switches more effectively, due to its inherent resonance, it may cause stability issues. To create stable performance, either an active damping algorithm or a physical damping resistor should be used. However, a physical resistor causes additional power loss and slower dynamic response, while by adding a digital filter as a conventional virtual resistor and modifying the control scheme, the above-mentioned problems could be solved.","PeriodicalId":6731,"journal":{"name":"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"3 1","pages":"253-258"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79130287","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 : 2020-05-01DOI: 10.1109/ZINC50678.2020.9161801
Andrija Mihalj, R. Grbić, N. Lukic, Zvonimir Kaprocki
Modern cars use advanced electronic systems that help the driver with the driving process - so-called Advanced Driver-Assistance Systems (ADAS). ADAS systems are used to automate, customize and improve systems within a vehicle for greater safety and better driving experience. Since ADAS systems as such can have a significant impact on the driving process, the vehicle and the driver, they must be thoroughly tested and developed within many industry standards. The key factor in their work is communication between individual system components. This standardized communication is necessary to test, which is usually performed by developing AUTomotive Open System Architecture (AUTOSAR) communication tests. Since ADAS testing can be quite a complex and time-consuming process, automated testing is performed in an appropriate testing environment. In this paper, existing ADAS environment testing systems is presented, which generates a test environment for the simulation of communication in the middle layer (Middleware) of AUTOSAR architecture. Test Environment Generator (TEG) is a Python program for processing ARXML test files based on which it generates a test environment model in the form of separate components in the C programming language. The program consists of input data parsing, parsed data storing and components generation that build the test environment. Based on the detected disadvantages of the existing TEG, several modifications are proposed in order to accelerate its execution time and to introduce more robust and stable data storage methods in database form.
{"title":"Code Generator for ADAS Software Testing","authors":"Andrija Mihalj, R. Grbić, N. Lukic, Zvonimir Kaprocki","doi":"10.1109/ZINC50678.2020.9161801","DOIUrl":"https://doi.org/10.1109/ZINC50678.2020.9161801","url":null,"abstract":"Modern cars use advanced electronic systems that help the driver with the driving process - so-called Advanced Driver-Assistance Systems (ADAS). ADAS systems are used to automate, customize and improve systems within a vehicle for greater safety and better driving experience. Since ADAS systems as such can have a significant impact on the driving process, the vehicle and the driver, they must be thoroughly tested and developed within many industry standards. The key factor in their work is communication between individual system components. This standardized communication is necessary to test, which is usually performed by developing AUTomotive Open System Architecture (AUTOSAR) communication tests. Since ADAS testing can be quite a complex and time-consuming process, automated testing is performed in an appropriate testing environment. In this paper, existing ADAS environment testing systems is presented, which generates a test environment for the simulation of communication in the middle layer (Middleware) of AUTOSAR architecture. Test Environment Generator (TEG) is a Python program for processing ARXML test files based on which it generates a test environment model in the form of separate components in the C programming language. The program consists of input data parsing, parsed data storing and components generation that build the test environment. Based on the detected disadvantages of the existing TEG, several modifications are proposed in order to accelerate its execution time and to introduce more robust and stable data storage methods in database form.","PeriodicalId":6731,"journal":{"name":"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"47 1","pages":"184-189"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91183142","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 : 2020-05-01DOI: 10.1109/ZINC50678.2020.9161824
Geerish Suddul, K. Dookhitram, Girish Bekaroo, Nikhilesh Shankhur
Severe flash flood events give very little opportunity for issuing warnings. In this paper, we approach the automated and real time prediction of river flooding by proposing and evaluating different variations of the conventional Multilayer Perceptron (MLP) machine learning algorithm. Our first approach follows a trial and error attempt to optimize the MLP architecture. The second and third approaches are based on the application of nature inspired evolutionary techniques, namely the Genetic Algorithm (MLP-GA) and the Bat Algorithm (MLP-BA) respectively. The MLP-GA generates an improved MLP configuration and MLP-BA enhances the training method. Our fourth, novel approach (MLP-BA-GA) is based on the application of GA to further optimize both the BA and MLP architecture. When compared with previous work, experiments show improvement in the accuracy of river flood prediction, with significant results for the MLP-BA-GA.
{"title":"An Evolutionary MultiLayer Perceptron Algorithm for Real Time River Flood Prediction","authors":"Geerish Suddul, K. Dookhitram, Girish Bekaroo, Nikhilesh Shankhur","doi":"10.1109/ZINC50678.2020.9161824","DOIUrl":"https://doi.org/10.1109/ZINC50678.2020.9161824","url":null,"abstract":"Severe flash flood events give very little opportunity for issuing warnings. In this paper, we approach the automated and real time prediction of river flooding by proposing and evaluating different variations of the conventional Multilayer Perceptron (MLP) machine learning algorithm. Our first approach follows a trial and error attempt to optimize the MLP architecture. The second and third approaches are based on the application of nature inspired evolutionary techniques, namely the Genetic Algorithm (MLP-GA) and the Bat Algorithm (MLP-BA) respectively. The MLP-GA generates an improved MLP configuration and MLP-BA enhances the training method. Our fourth, novel approach (MLP-BA-GA) is based on the application of GA to further optimize both the BA and MLP architecture. When compared with previous work, experiments show improvement in the accuracy of river flood prediction, with significant results for the MLP-BA-GA.","PeriodicalId":6731,"journal":{"name":"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"42 1","pages":"109-112"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91183280","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 : 2020-05-01DOI: 10.1109/ZINC50678.2020.9161780
S. Raj
In the last few decades, consumer electronics in the field of biomedical devices has sought significant growth. With the advancement in artificial intelligence (AI), the biomedical devices such as electrocardiography (ECG) monitoring systems are now capable of performing automated analysis. However, there is significant room for enhancement in the efficiency of the available devices. This paper presents an efficient methodology for automated recognition of ECG signals. Here, the double density complex wavelet transform (DDCWT) method is employed for capturing the time-frequency (TF) information from the ECG signals. Different features from the output coefficients are captured and concatenated with the heart-rate variability information between ECG signals. This resulting vector carry sufficient information of each heartbeat and is classified using twin support vector machine (TSVM) scheme to classify into five categories. The classifier metrics are chosen by employing artificial bee colony (ABC) algorithm to enhance its performance. The experiments are conducted on the MIT-BIH data under subject oriented scheme where an accuracy of 97.20% is reported. The microcontroller-based implementation of the proposed methodology will result in the development an efficient monitoring system for consumers targeted for mass market.
{"title":"An Efficient Analysis Scheme for Intelligent ECG Monitoring Devices","authors":"S. Raj","doi":"10.1109/ZINC50678.2020.9161780","DOIUrl":"https://doi.org/10.1109/ZINC50678.2020.9161780","url":null,"abstract":"In the last few decades, consumer electronics in the field of biomedical devices has sought significant growth. With the advancement in artificial intelligence (AI), the biomedical devices such as electrocardiography (ECG) monitoring systems are now capable of performing automated analysis. However, there is significant room for enhancement in the efficiency of the available devices. This paper presents an efficient methodology for automated recognition of ECG signals. Here, the double density complex wavelet transform (DDCWT) method is employed for capturing the time-frequency (TF) information from the ECG signals. Different features from the output coefficients are captured and concatenated with the heart-rate variability information between ECG signals. This resulting vector carry sufficient information of each heartbeat and is classified using twin support vector machine (TSVM) scheme to classify into five categories. The classifier metrics are chosen by employing artificial bee colony (ABC) algorithm to enhance its performance. The experiments are conducted on the MIT-BIH data under subject oriented scheme where an accuracy of 97.20% is reported. The microcontroller-based implementation of the proposed methodology will result in the development an efficient monitoring system for consumers targeted for mass market.","PeriodicalId":6731,"journal":{"name":"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"23 1","pages":"207-212"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79838755","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 : 2020-05-01DOI: 10.1109/ZINC50678.2020.9161796
J. Rajkumar, Chuan Pham, K. Nguyen, M. Cheriet
Smart home platform is an incarnation of Internet of Things (IoT) system. In such a platform, home applications are deployed using Software as a Service (SaaS) deployment model, a new way of software service provisioning for quick application deployment. However, this deployment model still has deployment performance issues due to the high degree of coordination and mutual dependencies of distributed services built on heterogeneous technologies. In a large scale deployment setup with more number of services, inter and intra-communication links between the coordinated services increase thereby introducing execution delays at service computation, and inter-service communications. Therefore, in this paper, we propose a smart home platform architecture based on Platform as a Service (PaaS) model supporting the SaaS deployment model. Based on the designed architecture, we model an optimization problem named as optimized IoT Application Deployment (OIAD) to minimize application deployment time (total execution time). To solve the OIAD problem, this paper proposes a heuristic algorithm to find a near-optimal deployment time. The results of our simulation show an improvement in comparison with FCFS (First Come First Serve) and Random execution algorithm under various deployment scenarios and strategies.
{"title":"Optimization of Application Deployment Delay with Efficient Task Scheduling in Cloud-Based Smart Home Platform","authors":"J. Rajkumar, Chuan Pham, K. Nguyen, M. Cheriet","doi":"10.1109/ZINC50678.2020.9161796","DOIUrl":"https://doi.org/10.1109/ZINC50678.2020.9161796","url":null,"abstract":"Smart home platform is an incarnation of Internet of Things (IoT) system. In such a platform, home applications are deployed using Software as a Service (SaaS) deployment model, a new way of software service provisioning for quick application deployment. However, this deployment model still has deployment performance issues due to the high degree of coordination and mutual dependencies of distributed services built on heterogeneous technologies. In a large scale deployment setup with more number of services, inter and intra-communication links between the coordinated services increase thereby introducing execution delays at service computation, and inter-service communications. Therefore, in this paper, we propose a smart home platform architecture based on Platform as a Service (PaaS) model supporting the SaaS deployment model. Based on the designed architecture, we model an optimization problem named as optimized IoT Application Deployment (OIAD) to minimize application deployment time (total execution time). To solve the OIAD problem, this paper proposes a heuristic algorithm to find a near-optimal deployment time. The results of our simulation show an improvement in comparison with FCFS (First Come First Serve) and Random execution algorithm under various deployment scenarios and strategies.","PeriodicalId":6731,"journal":{"name":"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"37 1","pages":"67-72"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80191632","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 : 2020-05-01DOI: 10.1109/ZINC50678.2020.9161795
Sirajo Abdullahi Bakura, A. Lambert, Thomas Nowak
Mobility models are widely used for the evaluation of Delay Tolerant Networks (DTNs) performance, this mitigates the need for the model that can generate patterns that guarantee the contact opportunities for a reliable package forwarding. In this paper, we present a new mobility model that describes students’ daily activities in a campus environment. As opposed to the conventional models such as a Random walk, Random waypoint, Random direction, etc which uses a free space environment, our model includes obstacles of different shapes and sizes that obstruct movement and signal propagation. We evaluate the model using ONE simulator by comparing it with the Working Day Model and Random Waypoint. The model synthetically generates traces with the distribution of contact duration and inter-contact time similar to the distribution of real traces. We further investigate its impact on the performance of DTNs routing protocols and the result shows that, it performs better than the existing models in terms of average delivered message and message latency.
移动模型被广泛用于延迟容忍网络(dtn)性能的评估，这减少了对能够生成模式的模型的需求，以保证可靠的数据包转发的接触机会。在本文中，我们提出了一个新的流动性模型来描述学生在校园环境中的日常活动。与使用自由空间环境的传统模型(如Random walk, Random waypoint, Random direction等)不同，我们的模型包含了不同形状和大小的障碍物，这些障碍物阻碍了运动和信号的传播。我们使用ONE模拟器对模型进行评估，将其与工作日模型和随机路径点进行比较。该模型综合生成了与实际迹线分布相似的接触持续时间分布和接触间时间分布。我们进一步研究了它对DTNs路由协议性能的影响，结果表明，它在平均传递消息和消息延迟方面优于现有模型。
{"title":"An Obstacle-Aware Mobility Model for Campus Delay Tolerant Network","authors":"Sirajo Abdullahi Bakura, A. Lambert, Thomas Nowak","doi":"10.1109/ZINC50678.2020.9161795","DOIUrl":"https://doi.org/10.1109/ZINC50678.2020.9161795","url":null,"abstract":"Mobility models are widely used for the evaluation of Delay Tolerant Networks (DTNs) performance, this mitigates the need for the model that can generate patterns that guarantee the contact opportunities for a reliable package forwarding. In this paper, we present a new mobility model that describes students’ daily activities in a campus environment. As opposed to the conventional models such as a Random walk, Random waypoint, Random direction, etc which uses a free space environment, our model includes obstacles of different shapes and sizes that obstruct movement and signal propagation. We evaluate the model using ONE simulator by comparing it with the Working Day Model and Random Waypoint. The model synthetically generates traces with the distribution of contact duration and inter-contact time similar to the distribution of real traces. We further investigate its impact on the performance of DTNs routing protocols and the result shows that, it performs better than the existing models in terms of average delivered message and message latency.","PeriodicalId":6731,"journal":{"name":"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"311 18","pages":"82-86"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91458858","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 : 2020-05-01DOI: 10.1109/ZINC50678.2020.9161437
Mohd Anuaruddin Bin Ahmadon, S. Yamaguchi
This paper proposes a connection management mechanism for IoT devices using blockchain smart contracts. In recent years, with the development of network technology, the number of devices connected to the network is increasing exponentially as the number of devices increases, the risk of attacks increases. Therefore, blockchain plays a vital role in protecting IoT systems. In this paper, we propose and discuss a decentralized connection management mechanism to eliminate the threat associated with IoT by using blockchain’s smart contract. We proposed a multi-layer management mechanism to reduce the cost of smart contract processing costs due to a large number of IoT devices. We also proposed a tool to manage the connection of IoT devices using smart contracts. In the evaluation, we evaluated our proposed management scheme by applying two types of connection structure i.e., hub-based layer and sink-based layer. The novelty of this method is the implementation of a hierarchical management system for each layer. The effectiveness is the reduction of the smart contact processing cost of devices that disconnects and reconnects to the network.
{"title":"IoT Device Multi-layer Connection Management Mechanism with Blockchain Smart Contracts","authors":"Mohd Anuaruddin Bin Ahmadon, S. Yamaguchi","doi":"10.1109/ZINC50678.2020.9161437","DOIUrl":"https://doi.org/10.1109/ZINC50678.2020.9161437","url":null,"abstract":"This paper proposes a connection management mechanism for IoT devices using blockchain smart contracts. In recent years, with the development of network technology, the number of devices connected to the network is increasing exponentially as the number of devices increases, the risk of attacks increases. Therefore, blockchain plays a vital role in protecting IoT systems. In this paper, we propose and discuss a decentralized connection management mechanism to eliminate the threat associated with IoT by using blockchain’s smart contract. We proposed a multi-layer management mechanism to reduce the cost of smart contract processing costs due to a large number of IoT devices. We also proposed a tool to manage the connection of IoT devices using smart contracts. In the evaluation, we evaluated our proposed management scheme by applying two types of connection structure i.e., hub-based layer and sink-based layer. The novelty of this method is the implementation of a hierarchical management system for each layer. The effectiveness is the reduction of the smart contact processing cost of devices that disconnects and reconnects to the network.","PeriodicalId":6731,"journal":{"name":"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"29 1","pages":"62-66"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77920106","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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