Pub Date : 2019-11-01DOI: 10.1109/LATINCOM48065.2019.8937981
Suzane Dias, José Jailton, Tássio Carvalho, Renato Francês
With mobile data growth and rapid urbanization trends, there will be an extremely high density of wireless communication links in cities, therefore users expect an environment where they can access the Internet to their devices anytime, anywhere. Due to CAPEX/OPEX problems, a small cell deployment is not an economic strategy in scenarios of intense data traffic, so the use of Unmanned Aerial Vehicles (UAVs) to improve network coverage and performance becomes feasible. In order to improve the Quality of Service of the network, a computational system was proposed to perform decision making that receives as input network information such as network throughput, packet loss rate, and delay, and returns the network quality for a specific type of network application. The system as a whole verifies the necessity or not of using UAVs to improve the quality of the network and the coverage of the area of highest demand. If UAVs are required, they are shifted to these areas. Otherwise, the UAVs remain in the base station. Through the proposed method there were significant improvements in the Quality of Service (QoS) of the network, allowing a reduction in packet loss ratio and delay, and an increase in the network throughput rate.
{"title":"Efficient Allocation of Mobile Resources using Fuzzy Systems for a QoS Planning","authors":"Suzane Dias, José Jailton, Tássio Carvalho, Renato Francês","doi":"10.1109/LATINCOM48065.2019.8937981","DOIUrl":"https://doi.org/10.1109/LATINCOM48065.2019.8937981","url":null,"abstract":"With mobile data growth and rapid urbanization trends, there will be an extremely high density of wireless communication links in cities, therefore users expect an environment where they can access the Internet to their devices anytime, anywhere. Due to CAPEX/OPEX problems, a small cell deployment is not an economic strategy in scenarios of intense data traffic, so the use of Unmanned Aerial Vehicles (UAVs) to improve network coverage and performance becomes feasible. In order to improve the Quality of Service of the network, a computational system was proposed to perform decision making that receives as input network information such as network throughput, packet loss rate, and delay, and returns the network quality for a specific type of network application. The system as a whole verifies the necessity or not of using UAVs to improve the quality of the network and the coverage of the area of highest demand. If UAVs are required, they are shifted to these areas. Otherwise, the UAVs remain in the base station. Through the proposed method there were significant improvements in the Quality of Service (QoS) of the network, allowing a reduction in packet loss ratio and delay, and an increase in the network throughput rate.","PeriodicalId":120312,"journal":{"name":"2019 IEEE Latin-American Conference on Communications (LATINCOM)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125803312","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 : 2019-11-01DOI: 10.1109/LATINCOM48065.2019.8937962
Renato Cumbal, Sebastián Gutiérrez, Carlos Guerrero, R. Hincapié, G. Arévalo
This research presents an optimal deployment of resources in a road-side unit (RSU) infrastructure, using heterogeneous communications, for providing efficient coverage to dynamic vehicular networks. We configure scenarios, with a realistic approach, using mobility software tools to verify the behavior of vehicular traffic on the roads. In order to reach efficient coverage in a dynamic vehicular network, we determine the optimal location of the heterogeneous communications infrastructure, employing a novel mathematical approach for modeling the related optimization problem. The dynamic resources assignment is tailored to a real-life scenario by means of a set of restrictions regarding the coverage and the capacity of the heterogeneous communication infrastructure RSU, as well as the restrictions that additionally impose the capacity of the channels to achieve optimal use of the vehicular network.
{"title":"Optimal Resources Allocation from VANET Infrastructures in Dynamic Mobile Environments","authors":"Renato Cumbal, Sebastián Gutiérrez, Carlos Guerrero, R. Hincapié, G. Arévalo","doi":"10.1109/LATINCOM48065.2019.8937962","DOIUrl":"https://doi.org/10.1109/LATINCOM48065.2019.8937962","url":null,"abstract":"This research presents an optimal deployment of resources in a road-side unit (RSU) infrastructure, using heterogeneous communications, for providing efficient coverage to dynamic vehicular networks. We configure scenarios, with a realistic approach, using mobility software tools to verify the behavior of vehicular traffic on the roads. In order to reach efficient coverage in a dynamic vehicular network, we determine the optimal location of the heterogeneous communications infrastructure, employing a novel mathematical approach for modeling the related optimization problem. The dynamic resources assignment is tailored to a real-life scenario by means of a set of restrictions regarding the coverage and the capacity of the heterogeneous communication infrastructure RSU, as well as the restrictions that additionally impose the capacity of the channels to achieve optimal use of the vehicular network.","PeriodicalId":120312,"journal":{"name":"2019 IEEE Latin-American Conference on Communications (LATINCOM)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123269241","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 : 2019-11-01DOI: 10.1109/LATINCOM48065.2019.8937947
C. R. Storck, Fátima Duarte-Figueiredo
This paper is about a fifth generation (5G) network technology structure model that is a facilitator that can provide new services to several segments in smart cities. It was verified that applications in smart cities include citizens and pervasive devices interaction which requires continuous monitoring to provide collaborative support and to raise environmental awareness. In order to implement the expected goals from the 5G ecosystem, this model incorporates software defined network and virtualized controllers to support new services. Examples of smart city services are traffic efficiency, security, surveillance, localization, healthcare services, infrastructure support among others. Any of these services will be able to get information from their users and from the network through our model, once an important issue in smart city is the challenge to collect or deliver useful and processed data to stakeholders. In this proposal, the evaluation of the model was conducted through emulations on Mininet and POX controllers. The results were analyzed using the Gephi tool, and they have demonstrated that the proposed model is applicable to support and provide new services such as intelligent transportation, road monitoring, energy consumption, public safety among others in smart cities.
{"title":"A 5G New Smart City Services Facilitator Model","authors":"C. R. Storck, Fátima Duarte-Figueiredo","doi":"10.1109/LATINCOM48065.2019.8937947","DOIUrl":"https://doi.org/10.1109/LATINCOM48065.2019.8937947","url":null,"abstract":"This paper is about a fifth generation (5G) network technology structure model that is a facilitator that can provide new services to several segments in smart cities. It was verified that applications in smart cities include citizens and pervasive devices interaction which requires continuous monitoring to provide collaborative support and to raise environmental awareness. In order to implement the expected goals from the 5G ecosystem, this model incorporates software defined network and virtualized controllers to support new services. Examples of smart city services are traffic efficiency, security, surveillance, localization, healthcare services, infrastructure support among others. Any of these services will be able to get information from their users and from the network through our model, once an important issue in smart city is the challenge to collect or deliver useful and processed data to stakeholders. In this proposal, the evaluation of the model was conducted through emulations on Mininet and POX controllers. The results were analyzed using the Gephi tool, and they have demonstrated that the proposed model is applicable to support and provide new services such as intelligent transportation, road monitoring, energy consumption, public safety among others in smart cities.","PeriodicalId":120312,"journal":{"name":"2019 IEEE Latin-American Conference on Communications (LATINCOM)","volume":"462 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133601915","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 : 2019-11-01DOI: 10.1109/LATINCOM48065.2019.8937949
M. R. P. Santos, R. I. Tinini, G. Figueiredo, D. Batista
The extraction of information from data collected in a myriad of environments provides unprecedented opportunities for a big range of actions such as decision making and better resource management. Benefits from its processes are relatively large for many network domains such as protocol design, hybrid architectures redesign, and resource management and optimization. Time series or historical data series provide can be used in several ways like pattern analysis and prediction support, making it an important support tool for managers to develop goals and objectives focused on their business. The goal of this paper is to discuss the potential of data analysis in hybrid Cloud-Fog Radio Access Networks (CF-RAN) scenarios and present results of applications of the data in the process of prediction energy consumption. In particular, we analysed the knowledge data extraction of some metrics with a strong relationship with energy consumption and we perform a prediction by applying a deep learning algorithm using the previous four hour period to predict the next hour.
{"title":"Data Analysis and Energy Consumption Prediction in a Cloud-Fog RAN Environment","authors":"M. R. P. Santos, R. I. Tinini, G. Figueiredo, D. Batista","doi":"10.1109/LATINCOM48065.2019.8937949","DOIUrl":"https://doi.org/10.1109/LATINCOM48065.2019.8937949","url":null,"abstract":"The extraction of information from data collected in a myriad of environments provides unprecedented opportunities for a big range of actions such as decision making and better resource management. Benefits from its processes are relatively large for many network domains such as protocol design, hybrid architectures redesign, and resource management and optimization. Time series or historical data series provide can be used in several ways like pattern analysis and prediction support, making it an important support tool for managers to develop goals and objectives focused on their business. The goal of this paper is to discuss the potential of data analysis in hybrid Cloud-Fog Radio Access Networks (CF-RAN) scenarios and present results of applications of the data in the process of prediction energy consumption. In particular, we analysed the knowledge data extraction of some metrics with a strong relationship with energy consumption and we perform a prediction by applying a deep learning algorithm using the previous four hour period to predict the next hour.","PeriodicalId":120312,"journal":{"name":"2019 IEEE Latin-American Conference on Communications (LATINCOM)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134644949","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 : 2019-11-01DOI: 10.1109/LATINCOM48065.2019.8937994
P. H. Souza, Massilon L. Fernandes, Thiago S. Gomides, Guilherme G. Costa, F. S. Souza, C. M. Silva, D. Guidoni
In this work, the GPR strategy is presented. GPR consists results from joining two combinatorial optimization techniques (GRASP and Path Relinking) to solve the allocation of roadside units relying on the concept of the Delta Network. The Delta Network establishes communication guarantees based on the duration of contact between vehicles and the infrastructure. GPR is compared to an interactive strategy that solves the deployment for each vehicle individually. The results demonstrate that GPR can significantly reduce the deployment cost (by requiring the coverage of less urban cells) in scenarios where vehicles are not expected to experience connection throughout a large share of the trip. GPR may reduce the deployment cost up to 70% when compared to the baseline.
{"title":"Planning the Deployment of QoS-based Communication Infrastructures for Connected Vehicles using GRASP and Path Relinking","authors":"P. H. Souza, Massilon L. Fernandes, Thiago S. Gomides, Guilherme G. Costa, F. S. Souza, C. M. Silva, D. Guidoni","doi":"10.1109/LATINCOM48065.2019.8937994","DOIUrl":"https://doi.org/10.1109/LATINCOM48065.2019.8937994","url":null,"abstract":"In this work, the GPR strategy is presented. GPR consists results from joining two combinatorial optimization techniques (GRASP and Path Relinking) to solve the allocation of roadside units relying on the concept of the Delta Network. The Delta Network establishes communication guarantees based on the duration of contact between vehicles and the infrastructure. GPR is compared to an interactive strategy that solves the deployment for each vehicle individually. The results demonstrate that GPR can significantly reduce the deployment cost (by requiring the coverage of less urban cells) in scenarios where vehicles are not expected to experience connection throughout a large share of the trip. GPR may reduce the deployment cost up to 70% when compared to the baseline.","PeriodicalId":120312,"journal":{"name":"2019 IEEE Latin-American Conference on Communications (LATINCOM)","volume":"16 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133838138","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 : 2019-11-01DOI: 10.1109/LATINCOM48065.2019.8937893
Emanuel Montero, D. Rosário, A. Santos
Unmanned aerial vehicle (UAV) is a promising technology for mitigating Terrestrial Base Stations failures or even becoming an ideal temporary solution to offloading. UAV as Base Stations (UABS) can be deployed to complement existing cellular systems by providing additional capacity to hotspot areas as well as to provide network coverage in emergency and public safety situations. In terrestrial cellular networks, mobile devices at the cell edge often pose a performance bottleneck due to their long distances from the serving terrestrial base station (TBS), especially in the hotspot period when the TBS is heavily loaded. Simulation results show the gains of the proposed offloading scheme (OS) by improving the throughput, and quality of service (QoS) compared with a conventional LTE overloaded network.
{"title":"Clustering Users for the Deployment of UAV as Base Station to Improve the Quality of the Data","authors":"Emanuel Montero, D. Rosário, A. Santos","doi":"10.1109/LATINCOM48065.2019.8937893","DOIUrl":"https://doi.org/10.1109/LATINCOM48065.2019.8937893","url":null,"abstract":"Unmanned aerial vehicle (UAV) is a promising technology for mitigating Terrestrial Base Stations failures or even becoming an ideal temporary solution to offloading. UAV as Base Stations (UABS) can be deployed to complement existing cellular systems by providing additional capacity to hotspot areas as well as to provide network coverage in emergency and public safety situations. In terrestrial cellular networks, mobile devices at the cell edge often pose a performance bottleneck due to their long distances from the serving terrestrial base station (TBS), especially in the hotspot period when the TBS is heavily loaded. Simulation results show the gains of the proposed offloading scheme (OS) by improving the throughput, and quality of service (QoS) compared with a conventional LTE overloaded network.","PeriodicalId":120312,"journal":{"name":"2019 IEEE Latin-American Conference on Communications (LATINCOM)","volume":"6 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116796442","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 : 2019-11-01DOI: 10.1109/LATINCOM48065.2019.8937898
Elcio C. do Rosário, V. H. D'Ávila, Thiago Bueno da Silva, A. Alberti
The use of containers as an alternative to the virtual machines is increasing in companies and this trend has also seen in scientific experiments conducted by the research community, since it presents greater versatility, time optimization, and low computational consumption. Network managers are adopting the practice of using easy containers to make service scheduling in them. This article presents Docker platform for Future Internet research using NovaGenesis architecture, it is demonstrated by publishing/subscribing application for name resolution and evaluated using containers. The NovaGenesis is a Future Internet architecture that seeks to reshape the design of today's Internet stack to a model that best encompasses current and emerging needs. Finally, the results obtained point that the Docker environment is appealing to Future Internet experimentation.
{"title":"A Docker-Based Platform for Future Internet Experimentation: Testing NovaGenesis Name Resolution","authors":"Elcio C. do Rosário, V. H. D'Ávila, Thiago Bueno da Silva, A. Alberti","doi":"10.1109/LATINCOM48065.2019.8937898","DOIUrl":"https://doi.org/10.1109/LATINCOM48065.2019.8937898","url":null,"abstract":"The use of containers as an alternative to the virtual machines is increasing in companies and this trend has also seen in scientific experiments conducted by the research community, since it presents greater versatility, time optimization, and low computational consumption. Network managers are adopting the practice of using easy containers to make service scheduling in them. This article presents Docker platform for Future Internet research using NovaGenesis architecture, it is demonstrated by publishing/subscribing application for name resolution and evaluated using containers. The NovaGenesis is a Future Internet architecture that seeks to reshape the design of today's Internet stack to a model that best encompasses current and emerging needs. Finally, the results obtained point that the Docker environment is appealing to Future Internet experimentation.","PeriodicalId":120312,"journal":{"name":"2019 IEEE Latin-American Conference on Communications (LATINCOM)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127309058","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 : 2019-11-01DOI: 10.1109/LATINCOM48065.2019.8937872
Paulo Resque, S. Pinheiro, D. Rosário, E. Cerqueira, Andressa Vergutz, M. N. Lima, A. Santos
New healthcare applications rely on wearable devices to collect and send patient's physiological and biomedical information to cloud servers, which executes most of the data processing and analysis. However, healthcare applications have strict requirements of packet delivery and traffic latency to ensure accurate information for medical/healthcare purposes. In this paper, we introduce a device management system, called MAESTRO, to improve the Quality of Service (QoS) for healthcare applications. The MAESTRO system combines a machine-learning traffic classification with a prioritization algorithm to provide a required transmission priority for physiological data. We set up the machine learning module in the R language, using the algorithms in the caret package. We implemented and simulated the prioritization algorithm in NS-3, in a scenario where wearable medical devices share network access with generic stations. Results confirmed the machine learning module achieved 91.5% of accuracy when identifying the physiological data and assigning the expected priority. Further, MAESTRO reached 60% of improvement in the packet delivery ratio for physiological data, in a scenario with a variable number of devices and stations.
{"title":"Assessing Data Traffic Classification to Priority Access for Wireless Healthcare Application","authors":"Paulo Resque, S. Pinheiro, D. Rosário, E. Cerqueira, Andressa Vergutz, M. N. Lima, A. Santos","doi":"10.1109/LATINCOM48065.2019.8937872","DOIUrl":"https://doi.org/10.1109/LATINCOM48065.2019.8937872","url":null,"abstract":"New healthcare applications rely on wearable devices to collect and send patient's physiological and biomedical information to cloud servers, which executes most of the data processing and analysis. However, healthcare applications have strict requirements of packet delivery and traffic latency to ensure accurate information for medical/healthcare purposes. In this paper, we introduce a device management system, called MAESTRO, to improve the Quality of Service (QoS) for healthcare applications. The MAESTRO system combines a machine-learning traffic classification with a prioritization algorithm to provide a required transmission priority for physiological data. We set up the machine learning module in the R language, using the algorithms in the caret package. We implemented and simulated the prioritization algorithm in NS-3, in a scenario where wearable medical devices share network access with generic stations. Results confirmed the machine learning module achieved 91.5% of accuracy when identifying the physiological data and assigning the expected priority. Further, MAESTRO reached 60% of improvement in the packet delivery ratio for physiological data, in a scenario with a variable number of devices and stations.","PeriodicalId":120312,"journal":{"name":"2019 IEEE Latin-American Conference on Communications (LATINCOM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129975086","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 : 2019-11-01DOI: 10.1109/LATINCOM48065.2019.8937883
M. Rice, Willie K. Harrison, Benjamin Jensen, Kalin Norman, Brett Wood, C. Gutiérrez
This paper analyzes statistical properties of the wireless vehicle-to-vehicle (V2V) communication channel in mountainous terrain near Provo, Utah with a channel sounding experiment. We employ a software-defined radio (SDR) wideband channel sounder that transmits a 64-carrier unmodulated waveform that conforms to the IEEE 802.11p standard. The channel statistics analyzed are the complementary cumulative distribution function (CCDF) of the received power and its correlation with the line-of-sight (LOS) signal, the power delay profile, and the average delay spread. The experimental results indicate the presence of non-LOS signals that appear capable of supporting short intervals of communication, although the LOS signal is still the dominant factor for V2V communication in mountainous terrain. The power delay profile also indicates the presence of non-LOS signals, and furthermore follows an exponential decay model in general.
{"title":"V2V Propagation in Mountainous Terrain: Part I—Experimental Configuration and Measurement Results","authors":"M. Rice, Willie K. Harrison, Benjamin Jensen, Kalin Norman, Brett Wood, C. Gutiérrez","doi":"10.1109/LATINCOM48065.2019.8937883","DOIUrl":"https://doi.org/10.1109/LATINCOM48065.2019.8937883","url":null,"abstract":"This paper analyzes statistical properties of the wireless vehicle-to-vehicle (V2V) communication channel in mountainous terrain near Provo, Utah with a channel sounding experiment. We employ a software-defined radio (SDR) wideband channel sounder that transmits a 64-carrier unmodulated waveform that conforms to the IEEE 802.11p standard. The channel statistics analyzed are the complementary cumulative distribution function (CCDF) of the received power and its correlation with the line-of-sight (LOS) signal, the power delay profile, and the average delay spread. The experimental results indicate the presence of non-LOS signals that appear capable of supporting short intervals of communication, although the LOS signal is still the dominant factor for V2V communication in mountainous terrain. The power delay profile also indicates the presence of non-LOS signals, and furthermore follows an exponential decay model in general.","PeriodicalId":120312,"journal":{"name":"2019 IEEE Latin-American Conference on Communications (LATINCOM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129991705","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 : 2019-11-01DOI: 10.1109/LATINCOM48065.2019.8937899
Nagib Matni, Jean Moraes, D. Rosário, E. Cerqueira, A. Neto
Low Power Wide Area Network (LPWAN) technologies recently gained interest from the research and industrial community. Internet of Things (IoT) devices communicate directly with gateways, which act as bridges towards a central network server and the Internet. In this context, it is important to study how to place multiple gateways in an area considering Quality of Service, Capital expenditure (CAPEX), and operational expenditure (OPEX) requirements. This is because network planning and optimization are considered to be significant issues that impact on the application performance, CAPEX, and OPEX. In this paper, we propose an optimal LoRa gateway placement (PLACE). It considers the Gap statistics method to find the number of LoRa gateway, which is used to compute the gateway placement using the Fuzzy C-Means algorithm. Simulation results show that PLACE reduced in 36% the CAPEX and OPEX compared to the grid and random gateway placement, while keeps a similar Packet Delivery Ratio.
{"title":"Optimal Gateway Placement Based on Fuzzy C-Means for Low Power Wide Area Networks","authors":"Nagib Matni, Jean Moraes, D. Rosário, E. Cerqueira, A. Neto","doi":"10.1109/LATINCOM48065.2019.8937899","DOIUrl":"https://doi.org/10.1109/LATINCOM48065.2019.8937899","url":null,"abstract":"Low Power Wide Area Network (LPWAN) technologies recently gained interest from the research and industrial community. Internet of Things (IoT) devices communicate directly with gateways, which act as bridges towards a central network server and the Internet. In this context, it is important to study how to place multiple gateways in an area considering Quality of Service, Capital expenditure (CAPEX), and operational expenditure (OPEX) requirements. This is because network planning and optimization are considered to be significant issues that impact on the application performance, CAPEX, and OPEX. In this paper, we propose an optimal LoRa gateway placement (PLACE). It considers the Gap statistics method to find the number of LoRa gateway, which is used to compute the gateway placement using the Fuzzy C-Means algorithm. Simulation results show that PLACE reduced in 36% the CAPEX and OPEX compared to the grid and random gateway placement, while keeps a similar Packet Delivery Ratio.","PeriodicalId":120312,"journal":{"name":"2019 IEEE Latin-American Conference on Communications (LATINCOM)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130462523","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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