Pub Date : 2017-06-28DOI: 10.23919/ConTEL.2017.8000039
E. Farouk, Mona Z. Saleh, Michael Ibrahim, S. El-Ramly
One of the orthogonal frequency division multiplexing (OFDM) schemes is the Time Domain Synchronous OFDM (TDS-OFDM) scheme, in which, the guard intervals between consecutive OFDM symbols contain Pseudo Noise (PN) sequences which are known to the receiver and are used for channel estimation and synchronization. In this paper, a joint channel estimation algorithm is proposed for TDS-OFDM scheme, the proposed algorithm is based on using a Data-Dependent Superimposed Training (ST) sequence to improve the channel estimation accuracy in TDS-OFDM by utilizing two sources for channel estimation, the PN sequence at the guard interval and the ST sequence added to the data-dependent sequence. Furthermore, a simple linear combination algorithm is used to combine the two channel estimation results. The simulation results of the proposed algorithm show improvement in the estimation accuracy and bit error rate (BER) with little excess in the receiver complexity while, conserving same spectral efficiency as conventional TDS-OFDM scheme.
{"title":"Joint channel estimation for TDS-OFDM based on Superimposed Training","authors":"E. Farouk, Mona Z. Saleh, Michael Ibrahim, S. El-Ramly","doi":"10.23919/ConTEL.2017.8000039","DOIUrl":"https://doi.org/10.23919/ConTEL.2017.8000039","url":null,"abstract":"One of the orthogonal frequency division multiplexing (OFDM) schemes is the Time Domain Synchronous OFDM (TDS-OFDM) scheme, in which, the guard intervals between consecutive OFDM symbols contain Pseudo Noise (PN) sequences which are known to the receiver and are used for channel estimation and synchronization. In this paper, a joint channel estimation algorithm is proposed for TDS-OFDM scheme, the proposed algorithm is based on using a Data-Dependent Superimposed Training (ST) sequence to improve the channel estimation accuracy in TDS-OFDM by utilizing two sources for channel estimation, the PN sequence at the guard interval and the ST sequence added to the data-dependent sequence. Furthermore, a simple linear combination algorithm is used to combine the two channel estimation results. The simulation results of the proposed algorithm show improvement in the estimation accuracy and bit error rate (BER) with little excess in the receiver complexity while, conserving same spectral efficiency as conventional TDS-OFDM scheme.","PeriodicalId":410388,"journal":{"name":"2017 14th International Conference on Telecommunications (ConTEL)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132656043","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 : 2017-06-28DOI: 10.23919/ConTEL.2017.8000034
M. Drutarovský, D. Kocur, M. Švecová, N. Garcia
Ultra-wide band (UWB) radar is a very perspective technology for short-range localization and tracking of moving persons. UWB radar sensor network (UWB-SN) employing the centralized data fusion method can significantly improve tracking capabilities of more people in complex building environments. In this paper we present real-time performing wireless UWB-SN hardware demonstrator. Its sensor nodes use M-sequence UWB radars front-end and low-cost ARM based quad-core microcomputer (ARM-MC) as a main signal processing block. The ARM-MC based on Raspberry Pi provides processing power for the preprocessing of received raw radar signals, algorithms for detection and estimation of target's coordinates, and finally compression of data sent to the data fusion center. Low-rate data streams (3600–6000 bits/s/node) of compressed target coordinates are sent from each sensor node to the data fusion center in the central node by using RF transceivers with integrated ARM microcontroller. The proposed UWB-SN uses wireless RF communication by using FSK modulation in free short range devices (SRD) 868–870 MHz frequency band concurrently with operation of the UWB radar front-end. Experimental testing confirmed real-time performance of developed UWB-SN hardware and acceptable precision of software algorithms implemented in 32-bit arithmetic. The introduced modular architecture of UWB-SN can be used for fast development and testing of new real-time people tracking applications.
{"title":"Real-time wireless UWB sensor network for person monitoring","authors":"M. Drutarovský, D. Kocur, M. Švecová, N. Garcia","doi":"10.23919/ConTEL.2017.8000034","DOIUrl":"https://doi.org/10.23919/ConTEL.2017.8000034","url":null,"abstract":"Ultra-wide band (UWB) radar is a very perspective technology for short-range localization and tracking of moving persons. UWB radar sensor network (UWB-SN) employing the centralized data fusion method can significantly improve tracking capabilities of more people in complex building environments. In this paper we present real-time performing wireless UWB-SN hardware demonstrator. Its sensor nodes use M-sequence UWB radars front-end and low-cost ARM based quad-core microcomputer (ARM-MC) as a main signal processing block. The ARM-MC based on Raspberry Pi provides processing power for the preprocessing of received raw radar signals, algorithms for detection and estimation of target's coordinates, and finally compression of data sent to the data fusion center. Low-rate data streams (3600–6000 bits/s/node) of compressed target coordinates are sent from each sensor node to the data fusion center in the central node by using RF transceivers with integrated ARM microcontroller. The proposed UWB-SN uses wireless RF communication by using FSK modulation in free short range devices (SRD) 868–870 MHz frequency band concurrently with operation of the UWB radar front-end. Experimental testing confirmed real-time performance of developed UWB-SN hardware and acceptable precision of software algorithms implemented in 32-bit arithmetic. The introduced modular architecture of UWB-SN can be used for fast development and testing of new real-time people tracking applications.","PeriodicalId":410388,"journal":{"name":"2017 14th International Conference on Telecommunications (ConTEL)","volume":"283 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131901312","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 : 2017-06-28DOI: 10.23919/ConTEL.2017.8000051
Abayomi Otebolaku, G. Lee
Internet of Things (IoT) is the future of ubiquitous and personalized intelligent service delivery. It consists of interconnected, addressable and communicating everyday objects. To realize the full potentials of this new generation of ubiquitous systems, IoT's ‘smart’ objects should be supported with intelligent platforms for data acquisition, pre-processing, classification, modeling, reasoning and inference including distribution. However, some current IoT systems lack these capabilities: they provide mainly the functionality for raw sensor data acquisition. In this paper, we propose a framework towards deriving high-level context information from streams of raw IoT sensor data, using artificial neural network (ANN) as context recognition model. Before building the model, raw sensor data were pre-processed using weighted average low-pass filtering and a sliding window algorithm. From the resulting windows, statistical features were extracted to train ANN models. Analysis and evaluation of the proposed system show that it achieved between 87.3% and 98.1% accuracies.
{"title":"Towards context classification and reasoning in IoT","authors":"Abayomi Otebolaku, G. Lee","doi":"10.23919/ConTEL.2017.8000051","DOIUrl":"https://doi.org/10.23919/ConTEL.2017.8000051","url":null,"abstract":"Internet of Things (IoT) is the future of ubiquitous and personalized intelligent service delivery. It consists of interconnected, addressable and communicating everyday objects. To realize the full potentials of this new generation of ubiquitous systems, IoT's ‘smart’ objects should be supported with intelligent platforms for data acquisition, pre-processing, classification, modeling, reasoning and inference including distribution. However, some current IoT systems lack these capabilities: they provide mainly the functionality for raw sensor data acquisition. In this paper, we propose a framework towards deriving high-level context information from streams of raw IoT sensor data, using artificial neural network (ANN) as context recognition model. Before building the model, raw sensor data were pre-processed using weighted average low-pass filtering and a sliding window algorithm. From the resulting windows, statistical features were extracted to train ANN models. Analysis and evaluation of the proposed system show that it achieved between 87.3% and 98.1% accuracies.","PeriodicalId":410388,"journal":{"name":"2017 14th International Conference on Telecommunications (ConTEL)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127205939","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 : 2017-06-28DOI: 10.23919/ConTEL.2017.8000050
D. Gračanin, Mohamed Handosa, Hicham G. Elmongui, K. Matkovič
IoT-enabled built environments have potential to improve the lives of individuals, groups, and the broader community. Internet of Things (IoT), a collection of networked and interacting embedded devices, provides the necessary infrastructure and enabling technologies to design, develop and deploy smart built environments. We describe an approach to supporting user interaction with IoT-enabled smart built environments. This approach takes advantages of affordances and embodied cognition in a physical space to model user interaction with built spaces. The corresponding implementation leverages standard protocols (MQTT) and IoT-Lite ontology to represent IoT resources, entities and services. A proof-of-concept light-control application demonstrates the approach.
{"title":"An approach to user interactions with IoT-enabled spaces","authors":"D. Gračanin, Mohamed Handosa, Hicham G. Elmongui, K. Matkovič","doi":"10.23919/ConTEL.2017.8000050","DOIUrl":"https://doi.org/10.23919/ConTEL.2017.8000050","url":null,"abstract":"IoT-enabled built environments have potential to improve the lives of individuals, groups, and the broader community. Internet of Things (IoT), a collection of networked and interacting embedded devices, provides the necessary infrastructure and enabling technologies to design, develop and deploy smart built environments. We describe an approach to supporting user interaction with IoT-enabled smart built environments. This approach takes advantages of affordances and embodied cognition in a physical space to model user interaction with built spaces. The corresponding implementation leverages standard protocols (MQTT) and IoT-Lite ontology to represent IoT resources, entities and services. A proof-of-concept light-control application demonstrates the approach.","PeriodicalId":410388,"journal":{"name":"2017 14th International Conference on Telecommunications (ConTEL)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123955897","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 : 2017-06-28DOI: 10.23919/ConTEL.2017.8000037
S. Aleksic
It is widely argued that optical transmission and switching technologies will play an important role in next generation data centers. However, even though optical technologies have made a lot of progress in the last years towards achieving very high transmission capacity as well as increased flexibility and efficiency, an additional effort needs to be put in determining and analyzing suitable architectures and technologies for powerful and future-proof optical intra- and inter-data center networks. This paper gives an overview on recent and future trends in technologies and architectures for optical transmission and switching with respect to their suitability to implement high-performance optically switched interconnects. It provides a look at the entire system while considering various hierarchical levels - from small-scale interconnects on a single chip to system-level rack-to-rack interconnection networks - and discusses design considerations and future research directions towards advanced optical interconnects.
{"title":"The future of optical interconnects for data centers: A review of technology trends","authors":"S. Aleksic","doi":"10.23919/ConTEL.2017.8000037","DOIUrl":"https://doi.org/10.23919/ConTEL.2017.8000037","url":null,"abstract":"It is widely argued that optical transmission and switching technologies will play an important role in next generation data centers. However, even though optical technologies have made a lot of progress in the last years towards achieving very high transmission capacity as well as increased flexibility and efficiency, an additional effort needs to be put in determining and analyzing suitable architectures and technologies for powerful and future-proof optical intra- and inter-data center networks. This paper gives an overview on recent and future trends in technologies and architectures for optical transmission and switching with respect to their suitability to implement high-performance optically switched interconnects. It provides a look at the entire system while considering various hierarchical levels - from small-scale interconnects on a single chip to system-level rack-to-rack interconnection networks - and discusses design considerations and future research directions towards advanced optical interconnects.","PeriodicalId":410388,"journal":{"name":"2017 14th International Conference on Telecommunications (ConTEL)","volume":"314 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114553532","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 : 2017-06-28DOI: 10.23919/CONTEL.2017.8000040
C. Maramis, I. Chouvarda, N. Maglaveras, M. Isomursu
This work introduces a novel Behavioral Informatics Reporting Framework (BIIRF) which has been developed in the effort to review, study and compare the increasing number of Behavioral Informatics (BI) interventions for Connected Health (CH). The framework was developed through an iterative design cycle and it comprises of (i) a short-list of BI Intervention Eligibility Criteria for candidate interventions, and (ii) a BI Intervention Reporting Form. The eligibility criteria attempt to define the scope of the framework, while the reporting form - the heart of the framework - includes a hierarchical list of 39 features of interest for BI interventions, which are organized in 8 feature categories. The included features were carefully selected based on a number of predefined objectives and a successful BI intervention for the prevention of obesity and eating disorders (namely the SPLENDID intervention) has been employed as an example to facilitate the completion of the form. BIIRF has undergone preliminary evaluation and the evaluation outcomes are being exploited towards the improvement of the framework.
{"title":"Introducing a framework for reporting Behavioral Informatics interventions","authors":"C. Maramis, I. Chouvarda, N. Maglaveras, M. Isomursu","doi":"10.23919/CONTEL.2017.8000040","DOIUrl":"https://doi.org/10.23919/CONTEL.2017.8000040","url":null,"abstract":"This work introduces a novel Behavioral Informatics Reporting Framework (BIIRF) which has been developed in the effort to review, study and compare the increasing number of Behavioral Informatics (BI) interventions for Connected Health (CH). The framework was developed through an iterative design cycle and it comprises of (i) a short-list of BI Intervention Eligibility Criteria for candidate interventions, and (ii) a BI Intervention Reporting Form. The eligibility criteria attempt to define the scope of the framework, while the reporting form - the heart of the framework - includes a hierarchical list of 39 features of interest for BI interventions, which are organized in 8 feature categories. The included features were carefully selected based on a number of predefined objectives and a successful BI intervention for the prevention of obesity and eating disorders (namely the SPLENDID intervention) has been employed as an example to facilitate the completion of the form. BIIRF has undergone preliminary evaluation and the evaluation outcomes are being exploited towards the improvement of the framework.","PeriodicalId":410388,"journal":{"name":"2017 14th International Conference on Telecommunications (ConTEL)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114625046","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 : 2017-06-01DOI: 10.23919/ConTEL.2017.8000048
A. Almer, T. Schnabel, Sabine Lukas, R. Perko, A. Köfler, Viktoria Pammer-Schindler
Dramatic increases in forest fires in Europe as well as worldwide can be observed. Therefore, technical developments to support large scale forest firefighting strategies and management solutions are an international issue in the quest to protect human lives and resources as well as to reduce the negative environmental impact. This article describes an airborne based concept to enable an efficient management of airborne operation forces (helicopters, planes) as well as ground forces (vehicles, mobile teams, etc.) in frame of a forest fire / wildfire event situation. The concept is based on a multi sensor airborne platform and includes the development of a multi-level management system. The aim is to support tasks and time-critical decision processes in forest firefighting situations by near real-time processing chains and end user oriented management solutions. Further, a simulation based decision support and impact evaluation module is developed in frame of the ongoing national funded KIRAS1 research project 3F-MS. In frame of an international expert workshop with 30 participants from 12 nations the concept was discussed as well as critically questioned and essential knowledge was gained for the further development steps.
{"title":"International forest firefighting concepts based on aerial support strategies","authors":"A. Almer, T. Schnabel, Sabine Lukas, R. Perko, A. Köfler, Viktoria Pammer-Schindler","doi":"10.23919/ConTEL.2017.8000048","DOIUrl":"https://doi.org/10.23919/ConTEL.2017.8000048","url":null,"abstract":"Dramatic increases in forest fires in Europe as well as worldwide can be observed. Therefore, technical developments to support large scale forest firefighting strategies and management solutions are an international issue in the quest to protect human lives and resources as well as to reduce the negative environmental impact. This article describes an airborne based concept to enable an efficient management of airborne operation forces (helicopters, planes) as well as ground forces (vehicles, mobile teams, etc.) in frame of a forest fire / wildfire event situation. The concept is based on a multi sensor airborne platform and includes the development of a multi-level management system. The aim is to support tasks and time-critical decision processes in forest firefighting situations by near real-time processing chains and end user oriented management solutions. Further, a simulation based decision support and impact evaluation module is developed in frame of the ongoing national funded KIRAS1 research project 3F-MS. In frame of an international expert workshop with 30 participants from 12 nations the concept was discussed as well as critically questioned and essential knowledge was gained for the further development steps.","PeriodicalId":410388,"journal":{"name":"2017 14th International Conference on Telecommunications (ConTEL)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128653764","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 : 2017-06-01DOI: 10.23919/ConTEL.2017.8000011
P. Cudré-Mauroux
Until recently, structured (e.g., relational) and unstructured (e.g., textual) data were managed very differently: Structured data was queried declaratively using languages such as SQL, while unstructured data was searched using boolean queries over inverted indices. Today, we witness the rapid emergence of Big Data Integration techniques leveraging knowledge graphs to bridge the gap between different types of contents and integrate both unstructured and structured information more effectively. I will start this talk by giving a few examples of Big Data Integration. I will then describe two recent systems built in my lab and leveraging such techniques: ZenCrowd, a socio-technical platform that automatically connects Web documents to semi-structured entities in a knowledge graph, and Guider, a Big Data Integration system for the cloud.
{"title":"Big Data Integration","authors":"P. Cudré-Mauroux","doi":"10.23919/ConTEL.2017.8000011","DOIUrl":"https://doi.org/10.23919/ConTEL.2017.8000011","url":null,"abstract":"Until recently, structured (e.g., relational) and unstructured (e.g., textual) data were managed very differently: Structured data was queried declaratively using languages such as SQL, while unstructured data was searched using boolean queries over inverted indices. Today, we witness the rapid emergence of Big Data Integration techniques leveraging knowledge graphs to bridge the gap between different types of contents and integrate both unstructured and structured information more effectively. I will start this talk by giving a few examples of Big Data Integration. I will then describe two recent systems built in my lab and leveraging such techniques: ZenCrowd, a socio-technical platform that automatically connects Web documents to semi-structured entities in a knowledge graph, and Guider, a Big Data Integration system for the cloud.","PeriodicalId":410388,"journal":{"name":"2017 14th International Conference on Telecommunications (ConTEL)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116155588","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 : 2017-06-01DOI: 10.23919/ConTEL.2017.8000012
Georgios Skourletopoulos, C. Mavromoustakis, G. Mastorakis, J. Sahalos, J. M. Batalla, C. Dobre
The lack of models to aid the technical debt estimation and monitoring in cloud architectures motivates the need to develop a technical debt management (TDM) theory and practical approach for effective management decision making. The cloud is a marketplace in which services and resources are leased off based on the volume of data and the number of cloud-oriented users, which affect the accuracy of the technical debt measurement. In this research paper, we propose a game theoretic formulation of the technical debt management problem on cloud-based service level. A technical debt measurement game is constructed, parameterizing the current number of players per service, while each new end-user can choose any of the offered cloud-based services. In this direction, a technical debt-inspired throttling mechanism is also discussed for resource leasing optimization and scalability. The validation tests verify the effectiveness of our approach in real-world operations, avoiding accumulated technical debt and optimizing available resources in cloud-centric systems.
{"title":"A game theoretic formulation of the technical debt management problem in cloud systems","authors":"Georgios Skourletopoulos, C. Mavromoustakis, G. Mastorakis, J. Sahalos, J. M. Batalla, C. Dobre","doi":"10.23919/ConTEL.2017.8000012","DOIUrl":"https://doi.org/10.23919/ConTEL.2017.8000012","url":null,"abstract":"The lack of models to aid the technical debt estimation and monitoring in cloud architectures motivates the need to develop a technical debt management (TDM) theory and practical approach for effective management decision making. The cloud is a marketplace in which services and resources are leased off based on the volume of data and the number of cloud-oriented users, which affect the accuracy of the technical debt measurement. In this research paper, we propose a game theoretic formulation of the technical debt management problem on cloud-based service level. A technical debt measurement game is constructed, parameterizing the current number of players per service, while each new end-user can choose any of the offered cloud-based services. In this direction, a technical debt-inspired throttling mechanism is also discussed for resource leasing optimization and scalability. The validation tests verify the effectiveness of our approach in real-world operations, avoiding accumulated technical debt and optimizing available resources in cloud-centric systems.","PeriodicalId":410388,"journal":{"name":"2017 14th International Conference on Telecommunications (ConTEL)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123154213","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 : 2017-06-01DOI: 10.23919/ConTEL.2017.8000042
Carlo Augusto Grazia, Natale Patriciello, Martin Klapež, M. Casoni
Current Internet traffic is carried mainly by the Transmission Control Protocol (TCP), and the performance of the Internet depends strongly on how well TCP works. Detecting and mitigating the congestion is one of the main tasks of this protocol, in fact, different TCP versions are defined by their congestion control algorithm. Also, Active Queue Management (AQM) algorithms share the same goal of congestion mitigation with TCP, in particular, the most effective congestion control occurs when AQM and TCP work together. This paper presents a brief survey and a cross-comparison of the latest and most important TCP and AQM variants, then provides an evaluation of a different kind of performance (multiple Round-Trip Time, long delay, different congestion level, etc.) on the ns-3 network simulator over various types of environments. In a shared bottleneck, the choice of the TCP-AQM couple to adopt is crucial; we show that the results are not univocal, the “golden couple” depends on the performance that we want to boost and on the environment that we have to deal with.
{"title":"A cross-comparison between TCP and AQM algorithms: Which is the best couple for congestion control?","authors":"Carlo Augusto Grazia, Natale Patriciello, Martin Klapež, M. Casoni","doi":"10.23919/ConTEL.2017.8000042","DOIUrl":"https://doi.org/10.23919/ConTEL.2017.8000042","url":null,"abstract":"Current Internet traffic is carried mainly by the Transmission Control Protocol (TCP), and the performance of the Internet depends strongly on how well TCP works. Detecting and mitigating the congestion is one of the main tasks of this protocol, in fact, different TCP versions are defined by their congestion control algorithm. Also, Active Queue Management (AQM) algorithms share the same goal of congestion mitigation with TCP, in particular, the most effective congestion control occurs when AQM and TCP work together. This paper presents a brief survey and a cross-comparison of the latest and most important TCP and AQM variants, then provides an evaluation of a different kind of performance (multiple Round-Trip Time, long delay, different congestion level, etc.) on the ns-3 network simulator over various types of environments. In a shared bottleneck, the choice of the TCP-AQM couple to adopt is crucial; we show that the results are not univocal, the “golden couple” depends on the performance that we want to boost and on the environment that we have to deal with.","PeriodicalId":410388,"journal":{"name":"2017 14th International Conference on Telecommunications (ConTEL)","volume":"94 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120976660","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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