Pub Date : 2021-11-11DOI: 10.1109/cits52676.2021.9618137
Jonah Goverman, Ali Tekeoglu
Ex-filtration of confidential data from a compromised network node become increasingly difficult given modern day defenses, such as deep packet inspection filters, next generation firewalls, anomaly based behavioral intrusion detection systems, and data loss/leak prevention systems. There are various proposed methods in the literature to establish covert channels for stealthy data extraction, however most of them cause anomalies in the network traffic and could be flagged by the state-of-the art defensive network technologies. In this paper, we describe a novel approach, along with a proof-of-concept implementation, for creating a covert channel that fits well within the bounds of RFC-793, utilizing Transmission Control Protocol (TCP) Sequence Numbers. This method encodes the data to be ex-filtrated within TCP sequence numbers, and adds random bytes as payload to each packet to keep the communication compatible with TCP. By designing the proposed data ex-filtration channel to function within RFC standards, we aimed to increase our ability to blend into the regular network traffic and hide from network monitoring tools. We tested our method against an open source intrusion detection system, Snort, and was able to evade detection.
{"title":"Stealthy Data Exfiltration via TCP Sequence Numbers based Covert Channel","authors":"Jonah Goverman, Ali Tekeoglu","doi":"10.1109/cits52676.2021.9618137","DOIUrl":"https://doi.org/10.1109/cits52676.2021.9618137","url":null,"abstract":"Ex-filtration of confidential data from a compromised network node become increasingly difficult given modern day defenses, such as deep packet inspection filters, next generation firewalls, anomaly based behavioral intrusion detection systems, and data loss/leak prevention systems. There are various proposed methods in the literature to establish covert channels for stealthy data extraction, however most of them cause anomalies in the network traffic and could be flagged by the state-of-the art defensive network technologies. In this paper, we describe a novel approach, along with a proof-of-concept implementation, for creating a covert channel that fits well within the bounds of RFC-793, utilizing Transmission Control Protocol (TCP) Sequence Numbers. This method encodes the data to be ex-filtrated within TCP sequence numbers, and adds random bytes as payload to each packet to keep the communication compatible with TCP. By designing the proposed data ex-filtration channel to function within RFC standards, we aimed to increase our ability to blend into the regular network traffic and hide from network monitoring tools. We tested our method against an open source intrusion detection system, Snort, and was able to evade detection.","PeriodicalId":211570,"journal":{"name":"2021 International Conference on Computer, Information and Telecommunication Systems (CITS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134333930","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 : 2021-11-11DOI: 10.1109/cits52676.2021.9618238
İpek Çebi, Dionysis Goularas
In this paper, we propose a method allowing to find the optimum location for a grocery store in an urban area. In our algorithm, we use a multi-objective optimization approach where for a given geographic area, we extract a set of solutions based on two criteria: The first one attempts to minimize the distance from places like restaurants, bus stations, etc. as these places denote a pedestrian traffic. The second one tries to maximize the distance from other existing grocery stores, in order to find a location with less competition. The multi-objective genetic algorithm (MOGA) utilized proposes a set of solutions that cannot dominate each other. Therefore, for the geographic area analyzed by MOGA, after detecting the surfaces corresponding to buildings based on color map information, we calculate the average weighted mean of the building surfaces. Hence, we are selecting among the solutions proposed by MOGA the closest one to the calculated weighted mean, in an effort to be located near a dense population. After testing the system with different scenarios, we show that this application is able to propose adequate locations in respect to the predefined criteria.
{"title":"Location analysis for a grocery store based on a multi-objective optimization approach","authors":"İpek Çebi, Dionysis Goularas","doi":"10.1109/cits52676.2021.9618238","DOIUrl":"https://doi.org/10.1109/cits52676.2021.9618238","url":null,"abstract":"In this paper, we propose a method allowing to find the optimum location for a grocery store in an urban area. In our algorithm, we use a multi-objective optimization approach where for a given geographic area, we extract a set of solutions based on two criteria: The first one attempts to minimize the distance from places like restaurants, bus stations, etc. as these places denote a pedestrian traffic. The second one tries to maximize the distance from other existing grocery stores, in order to find a location with less competition. The multi-objective genetic algorithm (MOGA) utilized proposes a set of solutions that cannot dominate each other. Therefore, for the geographic area analyzed by MOGA, after detecting the surfaces corresponding to buildings based on color map information, we calculate the average weighted mean of the building surfaces. Hence, we are selecting among the solutions proposed by MOGA the closest one to the calculated weighted mean, in an effort to be located near a dense population. After testing the system with different scenarios, we show that this application is able to propose adequate locations in respect to the predefined criteria.","PeriodicalId":211570,"journal":{"name":"2021 International Conference on Computer, Information and Telecommunication Systems (CITS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116387954","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 : 2021-11-11DOI: 10.1109/cits52676.2021.9618296
{"title":"CITS 2021 Cover Page","authors":"","doi":"10.1109/cits52676.2021.9618296","DOIUrl":"https://doi.org/10.1109/cits52676.2021.9618296","url":null,"abstract":"","PeriodicalId":211570,"journal":{"name":"2021 International Conference on Computer, Information and Telecommunication Systems (CITS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132617143","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 : 2021-11-11DOI: 10.1109/cits52676.2021.9618353
Mahmoud Alasmar, C. F. Bazlamaçci
This paper targets the problem of finding an efficient distribution of a computational task on a heterogeneous computing platform. The heterogeneity of the processing elements arise due to differences in computation speed and memory capacity of the processors. We first consider using a discrete functional performance model that integrates processing speed and capacity of processing elements and then develop a mathematical model and propose a heuristic mapping algorithm for distributing a given total workload of size N on p processing elements such that the total computation time is minimized. Computational results show that the proposed method provides a significant improvement in reducing the computation time in comparison to equal distribution approach.
{"title":"Workload Distribution on Heterogeneous Platforms","authors":"Mahmoud Alasmar, C. F. Bazlamaçci","doi":"10.1109/cits52676.2021.9618353","DOIUrl":"https://doi.org/10.1109/cits52676.2021.9618353","url":null,"abstract":"This paper targets the problem of finding an efficient distribution of a computational task on a heterogeneous computing platform. The heterogeneity of the processing elements arise due to differences in computation speed and memory capacity of the processors. We first consider using a discrete functional performance model that integrates processing speed and capacity of processing elements and then develop a mathematical model and propose a heuristic mapping algorithm for distributing a given total workload of size N on p processing elements such that the total computation time is minimized. Computational results show that the proposed method provides a significant improvement in reducing the computation time in comparison to equal distribution approach.","PeriodicalId":211570,"journal":{"name":"2021 International Conference on Computer, Information and Telecommunication Systems (CITS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117279914","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 : 2021-11-11DOI: 10.1109/cits52676.2021.9618456
A. Valkanis, G. Beletsioti, Konstantinos F. Kantelis, Petros Nicopolitidis, Georgios I. Papadimitriou
The Long Range (LoRa) networks are able to provide both long-range coverage and low power consumption for sensing devices. These features make it one of the most attractive solutions for Internet of Things (IoT) applications. The default channel access mechanism used by the protocol is pure ALOHA, which due to its simplicity and lack of synchronization creates scalability problems when the number of supported end devices increases. The slotted ALOHA channel access mechanism has been proposed as an alternative, which through the synchronization of transmissions achieves the improvement of the efficiency and scalability of LoRa networks. One of the most important operating parameters of slotted ALOHA is the backoff algorithm. In this paper we present a novel backoff algorithm assisted by reinforcement learning mechanism, which regulates the offered load on the network by adjusting the congestion window. Simulation results show that the proposed algorithm improves efficiency and energy consumption for the end devices compared to other backoff algorithms from the literature.
{"title":"A Reinforcement Learning assisted Backoff Algorithm for LoRa networks","authors":"A. Valkanis, G. Beletsioti, Konstantinos F. Kantelis, Petros Nicopolitidis, Georgios I. Papadimitriou","doi":"10.1109/cits52676.2021.9618456","DOIUrl":"https://doi.org/10.1109/cits52676.2021.9618456","url":null,"abstract":"The Long Range (LoRa) networks are able to provide both long-range coverage and low power consumption for sensing devices. These features make it one of the most attractive solutions for Internet of Things (IoT) applications. The default channel access mechanism used by the protocol is pure ALOHA, which due to its simplicity and lack of synchronization creates scalability problems when the number of supported end devices increases. The slotted ALOHA channel access mechanism has been proposed as an alternative, which through the synchronization of transmissions achieves the improvement of the efficiency and scalability of LoRa networks. One of the most important operating parameters of slotted ALOHA is the backoff algorithm. In this paper we present a novel backoff algorithm assisted by reinforcement learning mechanism, which regulates the offered load on the network by adjusting the congestion window. Simulation results show that the proposed algorithm improves efficiency and energy consumption for the end devices compared to other backoff algorithms from the literature.","PeriodicalId":211570,"journal":{"name":"2021 International Conference on Computer, Information and Telecommunication Systems (CITS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124474553","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 : 2021-11-11DOI: 10.1109/cits52676.2021.9618067
Oliver Vassallo, Victor Buttigieg, M. Azzopardi
With the extensive cost reductions associated with small satellites, low Earth orbit missions are increasingly becoming popular, mostly with universities and the New-Space industry. However, a persistent limitation associated with the smallest satellites is the significant reduction in energy resources that each satellite has at its disposal. This limitation poses a challenge when using advanced communication systems, particularly those employing advanced forward error correction such as low-density parity check (LDPC) codes. To conserve the high computational energy required to decode such codes, we propose a novel early termination stopping criterion for LDPC decoders that is based on detecting the periodicity of syndrome weight oscillations. The technique is independent of the operating signal-to-noise ratio and results in reductions better than 80%, in the computational energy expended on a well-known bit-flipping decoding algorithm. Real world results are presented using an ARM-based microcontroller.
{"title":"An Energy Efficient Hybrid FEC-ARQ Communication Scheme for Small Satellite Applications","authors":"Oliver Vassallo, Victor Buttigieg, M. Azzopardi","doi":"10.1109/cits52676.2021.9618067","DOIUrl":"https://doi.org/10.1109/cits52676.2021.9618067","url":null,"abstract":"With the extensive cost reductions associated with small satellites, low Earth orbit missions are increasingly becoming popular, mostly with universities and the New-Space industry. However, a persistent limitation associated with the smallest satellites is the significant reduction in energy resources that each satellite has at its disposal. This limitation poses a challenge when using advanced communication systems, particularly those employing advanced forward error correction such as low-density parity check (LDPC) codes. To conserve the high computational energy required to decode such codes, we propose a novel early termination stopping criterion for LDPC decoders that is based on detecting the periodicity of syndrome weight oscillations. The technique is independent of the operating signal-to-noise ratio and results in reductions better than 80%, in the computational energy expended on a well-known bit-flipping decoding algorithm. Real world results are presented using an ARM-based microcontroller.","PeriodicalId":211570,"journal":{"name":"2021 International Conference on Computer, Information and Telecommunication Systems (CITS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133895124","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 : 2021-11-11DOI: 10.1109/cits52676.2021.9618578
Elif Ak, Kıymet Kaya, Y. Yaslan, S. Oktug
With the use of sensor networks and machine learning (ML) techniques in data analysis, the impact of the works for smart cities is getting greater. As a sub-field o f s mart cities, waste management, and related waste transformations study and plan waste collection, disposal, and recycling. Especially, waste to energy transformation composes the major part of waste disposal. Predicting the energy to be obtained from waste and planning the energy supply accordingly depend on estimating the amount of waste and knowing its content. However, energy prediction from solid waste suffers from weak forecasting models, which lead to misguided management strategies in smart cities. Internet of Things (IoT) technologies like low-power, wide-area networking protocol (LoRaWAN) offer new opportunities to collect, monitor, and analyze data in smart cities, including waste management. In this study, we propose the LoRaWAN-aided Waste-to-Energy Concept Model to build the waste-to-energy prediction model with the provided smart city use case using LoRa network as an underlying data collection step. Consequently, we benefit from the pre-trained Gradient Boosting Regression (GBR) model whose process details are provided in our previous study, to predict municipal solid waste using daily data along with other relevant variables such as temperature.
{"title":"LoRaWAN-aided Waste-to-Energy Concept Model in Smart Cities","authors":"Elif Ak, Kıymet Kaya, Y. Yaslan, S. Oktug","doi":"10.1109/cits52676.2021.9618578","DOIUrl":"https://doi.org/10.1109/cits52676.2021.9618578","url":null,"abstract":"With the use of sensor networks and machine learning (ML) techniques in data analysis, the impact of the works for smart cities is getting greater. As a sub-field o f s mart cities, waste management, and related waste transformations study and plan waste collection, disposal, and recycling. Especially, waste to energy transformation composes the major part of waste disposal. Predicting the energy to be obtained from waste and planning the energy supply accordingly depend on estimating the amount of waste and knowing its content. However, energy prediction from solid waste suffers from weak forecasting models, which lead to misguided management strategies in smart cities. Internet of Things (IoT) technologies like low-power, wide-area networking protocol (LoRaWAN) offer new opportunities to collect, monitor, and analyze data in smart cities, including waste management. In this study, we propose the LoRaWAN-aided Waste-to-Energy Concept Model to build the waste-to-energy prediction model with the provided smart city use case using LoRa network as an underlying data collection step. Consequently, we benefit from the pre-trained Gradient Boosting Regression (GBR) model whose process details are provided in our previous study, to predict municipal solid waste using daily data along with other relevant variables such as temperature.","PeriodicalId":211570,"journal":{"name":"2021 International Conference on Computer, Information and Telecommunication Systems (CITS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121543072","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 : 2021-11-11DOI: 10.1109/cits52676.2021.9618613
W. Lin, Zhiping Xu, Shaohua Hong, Lin Wang
In this paper, a multi-round joint belief propagation (BP) decoding with perturbation algorithm is proposed for joint source-channel coding (JSCC) system based on double protograph low-density parity-check (DP-LDPC) codes to improve decoding performance. In the proposed algorithm, the joint BP decoding is concatenated with cyclic redundancy check (CRC). The reliability of each variable node (VN) is evaluated in the joint BP decoding algorithm, and the CRC is used to check the error which is undetected by the joint BP. When error is detected, re-decoding process with perturbation for the unreliable VN is aroused. The simulation results indicate that the proposed method has a better bit error rate (BER) performance in comparison with the traditional joint BP algorithm.
{"title":"Multi-Round Joint Belief Propagation Decoding with Perturbation for JSCC System Based on DP-LDPC Codes","authors":"W. Lin, Zhiping Xu, Shaohua Hong, Lin Wang","doi":"10.1109/cits52676.2021.9618613","DOIUrl":"https://doi.org/10.1109/cits52676.2021.9618613","url":null,"abstract":"In this paper, a multi-round joint belief propagation (BP) decoding with perturbation algorithm is proposed for joint source-channel coding (JSCC) system based on double protograph low-density parity-check (DP-LDPC) codes to improve decoding performance. In the proposed algorithm, the joint BP decoding is concatenated with cyclic redundancy check (CRC). The reliability of each variable node (VN) is evaluated in the joint BP decoding algorithm, and the CRC is used to check the error which is undetected by the joint BP. When error is detected, re-decoding process with perturbation for the unreliable VN is aroused. The simulation results indicate that the proposed method has a better bit error rate (BER) performance in comparison with the traditional joint BP algorithm.","PeriodicalId":211570,"journal":{"name":"2021 International Conference on Computer, Information and Telecommunication Systems (CITS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124305732","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 : 2021-11-11DOI: 10.1109/cits52676.2021.9618567
Kajal Chatterjee, M. Obaidat, D. Samanta, SK Hafizul Islam, Niju P. Joseph
Paper currency is one of the most in-demand and long-established payment modes across the globe. People suffering from visual disabilities often face difficulties while handling paper currencies. Over the years, assisting technology has been rekindling itself to serve the aged and disabled person more aptly. Image processing methods and other sophisticated technologies, like Artificial Intelligence, Deep Learning, etc., can be employed to identify banknotes and fetch other valuable pieces of information from them. This paper proposes a framework that focuses on an integrated approach to retrieving data from the paper currency’s uploaded image. The current version of the framework focuses on identifying the authenticity of the paper currency and classifying it according to its value. This work is an initiative to help visually impaired people to use paper currencies without assistance from other individuals and support them in living independently.
{"title":"Machine Learning-based Currency Information Retrieval for Aiding the Visually Impaired People","authors":"Kajal Chatterjee, M. Obaidat, D. Samanta, SK Hafizul Islam, Niju P. Joseph","doi":"10.1109/cits52676.2021.9618567","DOIUrl":"https://doi.org/10.1109/cits52676.2021.9618567","url":null,"abstract":"Paper currency is one of the most in-demand and long-established payment modes across the globe. People suffering from visual disabilities often face difficulties while handling paper currencies. Over the years, assisting technology has been rekindling itself to serve the aged and disabled person more aptly. Image processing methods and other sophisticated technologies, like Artificial Intelligence, Deep Learning, etc., can be employed to identify banknotes and fetch other valuable pieces of information from them. This paper proposes a framework that focuses on an integrated approach to retrieving data from the paper currency’s uploaded image. The current version of the framework focuses on identifying the authenticity of the paper currency and classifying it according to its value. This work is an initiative to help visually impaired people to use paper currencies without assistance from other individuals and support them in living independently.","PeriodicalId":211570,"journal":{"name":"2021 International Conference on Computer, Information and Telecommunication Systems (CITS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127305972","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 : 2021-11-11DOI: 10.1109/cits52676.2021.9617911
Naila Bouchemal, Jae-Yun Jun
Platooning shows the potential to increase the efficiency and safety of future road traffic. Many researches illustrate its efficiency in highway scenarios where it is restricted to one lane. However, the biggest challenges lies in urban environments. Indeed, they are characterized by low-speed limits, intersections, traffic lights, buildings, vulnerable users..etc. We propose in this paper an Edge Cloud Vehicle-to-everything (V2X) architecture for full dynamic Platoon management in urban environments. We describe in this paper the overall phases of a Platoon, while considering the Cooperative Adaptive Cruise Control (C-ACC) function and the traffic light intersection.We focused in this paper on two main contributions: First, the V2X exchanges; indeed we created a new type of Intelligent Transportation Systems (ITS) message called ECEmessages based on the Cooperative-ITS (C-ITS) message structure as Cooperative Awareness Message (CAM), Decentralized Environmental Notification Message (DENM), Signal Phase and Timing (SPAT), and Map message (MAP).Then, in order to test the effectiveness of our proposal, we used the Gazebo ROS simulator. We performed the performance evaluations of the proposal by providing a mapping between the importance of the V2X communications, which is measured in terms of latency and reliability, and of the platoon, which is measured in terms of achievable inter-distance between vehicles.
{"title":"V2X Architecture for Autonomous Platoon Management In Urban Environment","authors":"Naila Bouchemal, Jae-Yun Jun","doi":"10.1109/cits52676.2021.9617911","DOIUrl":"https://doi.org/10.1109/cits52676.2021.9617911","url":null,"abstract":"Platooning shows the potential to increase the efficiency and safety of future road traffic. Many researches illustrate its efficiency in highway scenarios where it is restricted to one lane. However, the biggest challenges lies in urban environments. Indeed, they are characterized by low-speed limits, intersections, traffic lights, buildings, vulnerable users..etc. We propose in this paper an Edge Cloud Vehicle-to-everything (V2X) architecture for full dynamic Platoon management in urban environments. We describe in this paper the overall phases of a Platoon, while considering the Cooperative Adaptive Cruise Control (C-ACC) function and the traffic light intersection.We focused in this paper on two main contributions: First, the V2X exchanges; indeed we created a new type of Intelligent Transportation Systems (ITS) message called ECEmessages based on the Cooperative-ITS (C-ITS) message structure as Cooperative Awareness Message (CAM), Decentralized Environmental Notification Message (DENM), Signal Phase and Timing (SPAT), and Map message (MAP).Then, in order to test the effectiveness of our proposal, we used the Gazebo ROS simulator. We performed the performance evaluations of the proposal by providing a mapping between the importance of the V2X communications, which is measured in terms of latency and reliability, and of the platoon, which is measured in terms of achievable inter-distance between vehicles.","PeriodicalId":211570,"journal":{"name":"2021 International Conference on Computer, Information and Telecommunication Systems (CITS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130993881","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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