Pub Date : 2021-07-05DOI: 10.1109/MOCAST52088.2021.9493389
Eleftherios K. Petavratzis, C. Volos, A. Ouannas, H. Nistazakis, K. Valavanis, I. Stouboulos
In this work, for the first time, the use of a discrete memristive chaotic system for controlling the motion of a mobile robot is presented. The main goal is to cover as soon as possible a given area with the least number of motion commands. Firstly, the analysis of the proposed system is presented in details. After the selection of the set of parameters and initial conditions, in order for the system to be chaotic, it is applied in a mobile robot’s path planning problem. The simulation results proved that there is a lower limit in the system’s integration step h where its performance is efficient. Also, the same technique was applied in the case of a vacuum cleaning robot. As it is observed from the simulation results the robot managed to cover almost all of the given area in a satisfactory number of motion commands avoiding the collision with the placed obstacles.
{"title":"A 2D Discrete Chaotic Memristive Map and Its Application in Robot’s Path Planning","authors":"Eleftherios K. Petavratzis, C. Volos, A. Ouannas, H. Nistazakis, K. Valavanis, I. Stouboulos","doi":"10.1109/MOCAST52088.2021.9493389","DOIUrl":"https://doi.org/10.1109/MOCAST52088.2021.9493389","url":null,"abstract":"In this work, for the first time, the use of a discrete memristive chaotic system for controlling the motion of a mobile robot is presented. The main goal is to cover as soon as possible a given area with the least number of motion commands. Firstly, the analysis of the proposed system is presented in details. After the selection of the set of parameters and initial conditions, in order for the system to be chaotic, it is applied in a mobile robot’s path planning problem. The simulation results proved that there is a lower limit in the system’s integration step h where its performance is efficient. Also, the same technique was applied in the case of a vacuum cleaning robot. As it is observed from the simulation results the robot managed to cover almost all of the given area in a satisfactory number of motion commands avoiding the collision with the placed obstacles.","PeriodicalId":146990,"journal":{"name":"2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129348532","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 : 2021-07-05DOI: 10.1109/MOCAST52088.2021.9493413
M. M. A. Chawa, R. Tetzlaff, S. Stavrinides, Carol de Benito, R. Picos
In this paper we consider Resistive switching RAM (ReRAM) devices as memristors and we introduce a memristor model in flux-charge domain rather than the usually prefered voltage-current one. We employ the proposed model during the high resistance state of the device. We relate the parameters of the memristor model with a state variable, the temperature, by using a quasi-static thermal model. The emerging results using this simple model show a very good agreement with the experimental ones, correspondingly.
{"title":"A New Temperature-Based Model for the Reset Transition on ReRAM Memristive Devices","authors":"M. M. A. Chawa, R. Tetzlaff, S. Stavrinides, Carol de Benito, R. Picos","doi":"10.1109/MOCAST52088.2021.9493413","DOIUrl":"https://doi.org/10.1109/MOCAST52088.2021.9493413","url":null,"abstract":"In this paper we consider Resistive switching RAM (ReRAM) devices as memristors and we introduce a memristor model in flux-charge domain rather than the usually prefered voltage-current one. We employ the proposed model during the high resistance state of the device. We relate the parameters of the memristor model with a state variable, the temperature, by using a quasi-static thermal model. The emerging results using this simple model show a very good agreement with the experimental ones, correspondingly.","PeriodicalId":146990,"journal":{"name":"2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"127 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129836432","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 : 2021-07-05DOI: 10.1109/MOCAST52088.2021.9493391
Carol de Benito, O. Camps, M. M. A. Chawa, S. Stavrinides, R. Picos
In this paper we present a mixed-signal circuit able to emulate the behavior of a memristive system. Specifically, we propose a memristor emulator design using a Switched Capacitor (SCME) plus a control part implemented using stochastic computing. The switched capacitor technique is used to implement a controllable resistor, which is controlled by signals generated using a stochastic computing implementation of a basic memristor equations.
{"title":"A Stochastic Switched Capacitor Memristor Emulator","authors":"Carol de Benito, O. Camps, M. M. A. Chawa, S. Stavrinides, R. Picos","doi":"10.1109/MOCAST52088.2021.9493391","DOIUrl":"https://doi.org/10.1109/MOCAST52088.2021.9493391","url":null,"abstract":"In this paper we present a mixed-signal circuit able to emulate the behavior of a memristive system. Specifically, we propose a memristor emulator design using a Switched Capacitor (SCME) plus a control part implemented using stochastic computing. The switched capacitor technique is used to implement a controllable resistor, which is controlled by signals generated using a stochastic computing implementation of a basic memristor equations.","PeriodicalId":146990,"journal":{"name":"2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121845227","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 : 2021-07-05DOI: 10.1109/MOCAST52088.2021.9493407
N. Petrellis
The object features in an image or a video frame can be determined as a number of landmarks detected with the assistance of Deep Learning techniques. In this paper, object detection and image segmentation are initially performed to isolate a fish in an image and then eight landmarks are aligned in order to measure the fish dimensions and the position of its mouth and fins. Four popular Mediterranean fish species have been used in this study: Merluccius merluccius (cod fish), Dicentrarchus labrax (sea bass), Sparus aurata (sea bream) and Diplodus puntazzo. The first three of these species are grown in fish farms. For this reason, monitoring the morphological features of these fishes in their environment is of particular interest for ichthyologists and the proposed method can serve this purpose. The proposed method has been developed using Convolution Neural Networks and OpenCV in Python and MATLAB applications. The accuracy in the estimation of the fish dimensions for an initial data set with 20 images/species, ranges between 80% and 91% while the fins are located with an accuracy of up to 93%.
{"title":"Fish Morphological Feature Recognition Based on Deep Learning Techniques","authors":"N. Petrellis","doi":"10.1109/MOCAST52088.2021.9493407","DOIUrl":"https://doi.org/10.1109/MOCAST52088.2021.9493407","url":null,"abstract":"The object features in an image or a video frame can be determined as a number of landmarks detected with the assistance of Deep Learning techniques. In this paper, object detection and image segmentation are initially performed to isolate a fish in an image and then eight landmarks are aligned in order to measure the fish dimensions and the position of its mouth and fins. Four popular Mediterranean fish species have been used in this study: Merluccius merluccius (cod fish), Dicentrarchus labrax (sea bass), Sparus aurata (sea bream) and Diplodus puntazzo. The first three of these species are grown in fish farms. For this reason, monitoring the morphological features of these fishes in their environment is of particular interest for ichthyologists and the proposed method can serve this purpose. The proposed method has been developed using Convolution Neural Networks and OpenCV in Python and MATLAB applications. The accuracy in the estimation of the fish dimensions for an initial data set with 20 images/species, ranges between 80% and 91% while the fins are located with an accuracy of up to 93%.","PeriodicalId":146990,"journal":{"name":"2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"70 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114036203","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 : 2021-07-05DOI: 10.1109/MOCAST52088.2021.9493360
Nikolaos Georgoulopoulos, Alkiviadis A. Hatzopoulos, Konstantinos Karamitsios, Irene-Maria Tabakis, Konstantinos Kotrotsios, Alexandros I. Metsai
As modern server systems increase in volume and density, more and more hardware failures are generated, resulting in system breakdown. The conventional mechanisms for monitoring and checking the behavior of hardware parts, such as the hard disk drive (HDD), the RAM and the CPU, are not considered a dynamic approach for hardware failure prediction. On the other hand, machine learning (ML) and deep learning (DL) methods can assist to effectively predict hardware errors at a sufficient amount of time before they actually occur. In this work, a survey is presented on hardware failure prediction techniques for servers using ML and DL methods, with a focus on HDD, RAM and CPU issues. These techniques are categorized based on the ML or DL algorithm they use for the prediction process. The basic features of each work (used dataset, system type, HDD/RAM/CPU focus, error types etc.) are demonstrated. Additionally, certain statistic results from the various prediction methods are displayed, concluding in some crucial discussion on the existing literature.
{"title":"A Survey on Hardware Failure Prediction of Servers Using Machine Learning and Deep Learning","authors":"Nikolaos Georgoulopoulos, Alkiviadis A. Hatzopoulos, Konstantinos Karamitsios, Irene-Maria Tabakis, Konstantinos Kotrotsios, Alexandros I. Metsai","doi":"10.1109/MOCAST52088.2021.9493360","DOIUrl":"https://doi.org/10.1109/MOCAST52088.2021.9493360","url":null,"abstract":"As modern server systems increase in volume and density, more and more hardware failures are generated, resulting in system breakdown. The conventional mechanisms for monitoring and checking the behavior of hardware parts, such as the hard disk drive (HDD), the RAM and the CPU, are not considered a dynamic approach for hardware failure prediction. On the other hand, machine learning (ML) and deep learning (DL) methods can assist to effectively predict hardware errors at a sufficient amount of time before they actually occur. In this work, a survey is presented on hardware failure prediction techniques for servers using ML and DL methods, with a focus on HDD, RAM and CPU issues. These techniques are categorized based on the ML or DL algorithm they use for the prediction process. The basic features of each work (used dataset, system type, HDD/RAM/CPU focus, error types etc.) are demonstrated. Additionally, certain statistic results from the various prediction methods are displayed, concluding in some crucial discussion on the existing literature.","PeriodicalId":146990,"journal":{"name":"2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124970325","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 : 2021-07-05DOI: 10.1109/MOCAST52088.2021.9493417
K. Tamersit
In this paper, the role of junctionless (JL) paradigm in boosting the gas sensing performance of carbon nanotube field-effect transistors (CNTFETs) is investigated. The gas-induced work function modulation is adopted as gas sensing principle. The computational study uses the non-equilibrium Green’s function simulation. The considered sensing metric is the ratio of change in drain current. It has been found that the CNTFET-based gas nanosensor exhibits improved sensitivity in subthreshold regime, which is very beneficial for ultra-low power gas sensing applications. A sensitivity analysis has also been performed while revealing the sensitivity trends versus the change in different gas nanosensor parameters. More importantly, the consideration of junctionless paradigm, which is beneficial in terms of simplifying the fabrication processes, is found efficient in improving the subthreshold sensitivity. The obtained results indicate that the JL CNTFET-based gas nanosensors can serve the cutting edge gas sensing applications.
{"title":"Junctionless Carbon Nanotube Field-Effect Transistors as Gas Nanosensors for Low-Power Environment Monitoring Applications","authors":"K. Tamersit","doi":"10.1109/MOCAST52088.2021.9493417","DOIUrl":"https://doi.org/10.1109/MOCAST52088.2021.9493417","url":null,"abstract":"In this paper, the role of junctionless (JL) paradigm in boosting the gas sensing performance of carbon nanotube field-effect transistors (CNTFETs) is investigated. The gas-induced work function modulation is adopted as gas sensing principle. The computational study uses the non-equilibrium Green’s function simulation. The considered sensing metric is the ratio of change in drain current. It has been found that the CNTFET-based gas nanosensor exhibits improved sensitivity in subthreshold regime, which is very beneficial for ultra-low power gas sensing applications. A sensitivity analysis has also been performed while revealing the sensitivity trends versus the change in different gas nanosensor parameters. More importantly, the consideration of junctionless paradigm, which is beneficial in terms of simplifying the fabrication processes, is found efficient in improving the subthreshold sensitivity. The obtained results indicate that the JL CNTFET-based gas nanosensors can serve the cutting edge gas sensing applications.","PeriodicalId":146990,"journal":{"name":"2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131263042","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 : 2021-07-05DOI: 10.1109/MOCAST52088.2021.9493338
Dimitrios Mangiras, G. Dimitrakopoulos
Timing closure remains one of the most critical challenges of a physical synthesis flow. Even if timing is almost closed at the end of the flow, last-mile placement and routing congestion optimizations may introduce new timing violations. Correcting such violations needs minimally disruptive techniques such as threshold voltage re-assignment and gate sizing that affect only marginally the placement and routing of the almost finalized design. To this end, we transform a powerful Lagrangian-relaxation-based optimizer, used for global timing optimizations at the early stages of the design flow, to a practical incremental timing optimizer that corrects small timing violations with fast runtime and without increasing the area/power of the design. By applying the proposed approach to the optimized designs of the ISPD 2013 gate sizing contest that experience new timing violations due to local wire rerouting, we improve timing by more than 36% on average, using 45% less runtime, when compared to the fully-fledged version of the timing optimizer.
{"title":"Incremental Lagrangian Relaxation based Discrete Gate Sizing and Threshold Voltage Assignment","authors":"Dimitrios Mangiras, G. Dimitrakopoulos","doi":"10.1109/MOCAST52088.2021.9493338","DOIUrl":"https://doi.org/10.1109/MOCAST52088.2021.9493338","url":null,"abstract":"Timing closure remains one of the most critical challenges of a physical synthesis flow. Even if timing is almost closed at the end of the flow, last-mile placement and routing congestion optimizations may introduce new timing violations. Correcting such violations needs minimally disruptive techniques such as threshold voltage re-assignment and gate sizing that affect only marginally the placement and routing of the almost finalized design. To this end, we transform a powerful Lagrangian-relaxation-based optimizer, used for global timing optimizations at the early stages of the design flow, to a practical incremental timing optimizer that corrects small timing violations with fast runtime and without increasing the area/power of the design. By applying the proposed approach to the optimized designs of the ISPD 2013 gate sizing contest that experience new timing violations due to local wire rerouting, we improve timing by more than 36% on average, using 45% less runtime, when compared to the fully-fledged version of the timing optimizer.","PeriodicalId":146990,"journal":{"name":"2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134026989","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 : 2021-07-05DOI: 10.1109/MOCAST52088.2021.9493393
P. J. Gripeos, H. Nistazakis, E. Roditi, G. D. Roumelas, G. Tombras, C. Volos
Free Space Optical (FSO) communications have increasingly emerged in the last decade because of their unparalleled, inherent advantages like the high data rate communications with minimal costs. However, the performance of FSO communications systems is severely limited due to numerous agents. One of the deteriorating contributors is the scintillation effect due to atmospheric turbulence, causing rapid fluctuations of the receiving signal’s intensity. Turbulence strength depends on the current weather conditions and can be estimated from many available statistical models proposed. Also, time jitter is another deteriorating contributor, which causes additional impairments to the link’s throughput due to an either early or late misdetection of the received optical pulse’s center. Especially inevitable, time jitter affects high data rate communications, where the corresponding detector’s time slot is quite short. One hopeful FSO performance improvement solution employs the receiver’s diversity technique. In this work new mathematical expressions for the estimation of the average BER performance of NRZ or RZ OOK FSO links with receivers’ diversity are derived. The strong atmospheric turbulence effect is modeled with K - distribution. In addition, time jitter effect is studied, for the first time to the best of the authors’ knowledge, with the generalized Gaussian distribution. Useful numerical results and interesting conclusion are also listed in this work.
自由空间光通信(FSO)在过去十年中日益兴起，因为它具有无与伦比的固有优势，如以最小的成本实现高数据速率通信。然而，无线光通信系统的性能受到众多代理的严重限制。其中一个恶化的贡献者是由于大气湍流引起的闪烁效应，引起接收信号强度的快速波动。湍流强度取决于当前的天气条件，可以根据许多现有的统计模型来估计。此外，时间抖动是另一个恶化的贡献者，由于接收光脉冲中心的早期或晚期误检测，它会对链路的吞吐量造成额外的损害。尤其不可避免的是，时间抖动会影响高数据速率的通信，在这种情况下，相应的检测器的时隙很短。一种有希望改善FSO性能的解决方案采用了接收机的分集技术。本文推导了随接收机分集变化估计NRZ或RZ OOK FSO链路平均误码率的新数学表达式。用K -分布模拟了强大气湍流效应。此外，在作者所知的范围内，首次用广义高斯分布研究了时间抖动效应。文中还列举了一些有用的数值结果和有趣的结论。
{"title":"On the BER Performance of OOK FSO Links with Receivers’ Diversity and Time Jitter over Strong Turbulence Channels","authors":"P. J. Gripeos, H. Nistazakis, E. Roditi, G. D. Roumelas, G. Tombras, C. Volos","doi":"10.1109/MOCAST52088.2021.9493393","DOIUrl":"https://doi.org/10.1109/MOCAST52088.2021.9493393","url":null,"abstract":"Free Space Optical (FSO) communications have increasingly emerged in the last decade because of their unparalleled, inherent advantages like the high data rate communications with minimal costs. However, the performance of FSO communications systems is severely limited due to numerous agents. One of the deteriorating contributors is the scintillation effect due to atmospheric turbulence, causing rapid fluctuations of the receiving signal’s intensity. Turbulence strength depends on the current weather conditions and can be estimated from many available statistical models proposed. Also, time jitter is another deteriorating contributor, which causes additional impairments to the link’s throughput due to an either early or late misdetection of the received optical pulse’s center. Especially inevitable, time jitter affects high data rate communications, where the corresponding detector’s time slot is quite short. One hopeful FSO performance improvement solution employs the receiver’s diversity technique. In this work new mathematical expressions for the estimation of the average BER performance of NRZ or RZ OOK FSO links with receivers’ diversity are derived. The strong atmospheric turbulence effect is modeled with K - distribution. In addition, time jitter effect is studied, for the first time to the best of the authors’ knowledge, with the generalized Gaussian distribution. Useful numerical results and interesting conclusion are also listed in this work.","PeriodicalId":146990,"journal":{"name":"2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"326 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133472205","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 : 2021-07-05DOI: 10.1109/MOCAST52088.2021.9493416
Aikaterini Griva, A. Boursianis, Shaohua Wan, P. Sarigiannidis, G. Karagiannidis, S. Goudos
The employment of Internet of Things (IoT) technology in agriculture could be beneficial in managing the cultivation production in a highly-customizable way. LoRa (Long Range) is one of the most important technologies in cultivation fields mainly thanks to its ability to provide long-range transmission and low power consumption. In this paper, we evaluate the performance of LoRa networks in an open field cultivation scenario via simulations using FLoRa, an open-source framework in OMNeT++. The number of nodes, the number of gateways, the antenna gain, and the size of the deployment area have a considerable impact on both the data extraction rate and the energy consumption of a LoRa network. Our results show that the optimization of the parameters that affect the performance of a LoRa network could transform traditional agriculture into a new perspective of smart cultivation. Finally, we evaluate the impact of the density and the geometric characteristics of three types of crop (tomatoes, grapes, apples) on the number of intersections that were caused by the insertion of physical objects-obstacles in a LoRa network.
{"title":"Performance Evaluation of LoRa Networks in an Open Field Cultivation Scenario","authors":"Aikaterini Griva, A. Boursianis, Shaohua Wan, P. Sarigiannidis, G. Karagiannidis, S. Goudos","doi":"10.1109/MOCAST52088.2021.9493416","DOIUrl":"https://doi.org/10.1109/MOCAST52088.2021.9493416","url":null,"abstract":"The employment of Internet of Things (IoT) technology in agriculture could be beneficial in managing the cultivation production in a highly-customizable way. LoRa (Long Range) is one of the most important technologies in cultivation fields mainly thanks to its ability to provide long-range transmission and low power consumption. In this paper, we evaluate the performance of LoRa networks in an open field cultivation scenario via simulations using FLoRa, an open-source framework in OMNeT++. The number of nodes, the number of gateways, the antenna gain, and the size of the deployment area have a considerable impact on both the data extraction rate and the energy consumption of a LoRa network. Our results show that the optimization of the parameters that affect the performance of a LoRa network could transform traditional agriculture into a new perspective of smart cultivation. Finally, we evaluate the impact of the density and the geometric characteristics of three types of crop (tomatoes, grapes, apples) on the number of intersections that were caused by the insertion of physical objects-obstacles in a LoRa network.","PeriodicalId":146990,"journal":{"name":"2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130869506","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 : 2021-07-05DOI: 10.1109/MOCAST52088.2021.9493339
Theofilos Sachinidis, Alexandros-Apostolos A. Boulogeorgos, P. Sarigiannidis
Dynamic dual-hop relaying network topologies that enable access to end-users through intermediate individual and commercial, static as well as moving, infrastructures are expected to become fundamental pillars of the sixth generation wireless systems. Their main requirement is to ensure end-user’s information privacy. Motivated by this, the current contribution focuses on introducing a dual-hop blockchain radio access network (DH-BRAN) topology for dynamic coverage expansion. To analyze the performance of this topology, we present the theoretical framework that captures its characteristics. Building upon it, the DH-BRAN performance, in terms of latency and waiting probability, are quantified. Our results reveal that DR-BRAN can be employed in several realistic use-cases and that there exists a trade-off between latency and security.
{"title":"Dual-hop Blockchain Radio Access Networks for Advanced Coverage Expansion","authors":"Theofilos Sachinidis, Alexandros-Apostolos A. Boulogeorgos, P. Sarigiannidis","doi":"10.1109/MOCAST52088.2021.9493339","DOIUrl":"https://doi.org/10.1109/MOCAST52088.2021.9493339","url":null,"abstract":"Dynamic dual-hop relaying network topologies that enable access to end-users through intermediate individual and commercial, static as well as moving, infrastructures are expected to become fundamental pillars of the sixth generation wireless systems. Their main requirement is to ensure end-user’s information privacy. Motivated by this, the current contribution focuses on introducing a dual-hop blockchain radio access network (DH-BRAN) topology for dynamic coverage expansion. To analyze the performance of this topology, we present the theoretical framework that captures its characteristics. Building upon it, the DH-BRAN performance, in terms of latency and waiting probability, are quantified. Our results reveal that DR-BRAN can be employed in several realistic use-cases and that there exists a trade-off between latency and security.","PeriodicalId":146990,"journal":{"name":"2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"286 5769 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121273869","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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