Pub Date : 2019-10-01DOI: 10.1109/ISC246665.2019.9071680
E. J. Cedillo-Elias, Víctor M. Larios-Rosillo, Jose Antonio Orizaga Trejo, Carlos E. Lomas-Moreno, J. R. Beltrán-Ramírez, Ma. Roció Maciel Arellano
This paper aims to describe the implemented platform, and the results with the use of applications in mobile devices for the payment of taxes reducing paperwork through cloud access platforms for government services used and, previously analyzed within a sensor network. We measure the flow of interconnected citizens in a private cloud infrastructure through SDN Networks. A solution is presented, integrating and setting the design requirements of a private cloud platform. Such requirements propose dynamic network bandwidth adaptation, security layers, and interoperability on IoT devices. We also conducted a literary review of existing platforms that are used to improve innovative technological implementations in Smart Cities. From that survey, we propose an architecture, and we continue with a comparative analysis of how this platform improves the services provided to citizens in the tax offices of the Jalisco State in Mexico. Finally, we conclude with the benefits provided for the smart government as part of a Smart Cities strategy.
{"title":"A Cloud Platform for Smart Government Services, using SDN networks: the case of study at Jalisco State in Mexico","authors":"E. J. Cedillo-Elias, Víctor M. Larios-Rosillo, Jose Antonio Orizaga Trejo, Carlos E. Lomas-Moreno, J. R. Beltrán-Ramírez, Ma. Roció Maciel Arellano","doi":"10.1109/ISC246665.2019.9071680","DOIUrl":"https://doi.org/10.1109/ISC246665.2019.9071680","url":null,"abstract":"This paper aims to describe the implemented platform, and the results with the use of applications in mobile devices for the payment of taxes reducing paperwork through cloud access platforms for government services used and, previously analyzed within a sensor network. We measure the flow of interconnected citizens in a private cloud infrastructure through SDN Networks. A solution is presented, integrating and setting the design requirements of a private cloud platform. Such requirements propose dynamic network bandwidth adaptation, security layers, and interoperability on IoT devices. We also conducted a literary review of existing platforms that are used to improve innovative technological implementations in Smart Cities. From that survey, we propose an architecture, and we continue with a comparative analysis of how this platform improves the services provided to citizens in the tax offices of the Jalisco State in Mexico. Finally, we conclude with the benefits provided for the smart government as part of a Smart Cities strategy.","PeriodicalId":306836,"journal":{"name":"2019 IEEE International Smart Cities Conference (ISC2)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114538168","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 : 2019-10-01DOI: 10.1109/ISC246665.2019.9071745
C. E. Ramírez, Juan Manuel Viveros Paredes, Edgardo Flores Torales, H. L. D. Guevara, Jorge Iván Delgado Saucedo, Juan Manuel Riestra Castañeda, A. Macías, Jesús Máximo Montes, Jorge Valente López Arellano, Alfredo Rodríguez, Karen Esmonde-White, M. Vardaki, Víctor M. Larios-Rosillo
From ancient times to our days, in Smart Cities estimating the time of death or postmortem interval (PMI) is one of the most important and frequent questions in forensic and legal practice and its transcendence involves not only religious matters but also the application of the law and good governance. The importance of PMI estimation includes the application of the law, inheritance claim, payment of life insurance and in some countries to know who died first during the rescue of a victim of kidnapping if all those involved had died. These situations require that the forensic laboratory can move to the crime or accident scene with analytical technologies capable of collecting measurements within minutes. Pieces of evidence which are essentially products of degradation of keratotic materials such as skin, hair, bone, and nail, are associated with human remains in burial environments and can be analyzed in terms of their molecular structure viatheir vibrational spectra. In this regards, the aim of this study is twofold. Firstly to develop an optical analytical methodology we employed the light scattering, which is a physical phenomenon where the interaction of light with matter reveals valuable information about the molecular structure and dynamics of the material under examination. Secondly, this study aims to demonstrate that cartilage as a biological model can reflect through the vibrational spectra the main changes in collagen type II structure and estimate the PMI. An exciting finding in this research project is that cartilage is an excellent material for pattern evidence that changes over time and cartilage viscoelastic properties show considerable changes during decay. This study has made novel contributions since the approach presented is a new parameter for the determination of human PMI by optical metrology applied to Forensic field in a Smart Cities environment.
{"title":"Chemical Analysis Tools for Rapid Determination of Postmortem Interval On-Site: Application of Smart City Principles to Forensic Science","authors":"C. E. Ramírez, Juan Manuel Viveros Paredes, Edgardo Flores Torales, H. L. D. Guevara, Jorge Iván Delgado Saucedo, Juan Manuel Riestra Castañeda, A. Macías, Jesús Máximo Montes, Jorge Valente López Arellano, Alfredo Rodríguez, Karen Esmonde-White, M. Vardaki, Víctor M. Larios-Rosillo","doi":"10.1109/ISC246665.2019.9071745","DOIUrl":"https://doi.org/10.1109/ISC246665.2019.9071745","url":null,"abstract":"From ancient times to our days, in Smart Cities estimating the time of death or postmortem interval (PMI) is one of the most important and frequent questions in forensic and legal practice and its transcendence involves not only religious matters but also the application of the law and good governance. The importance of PMI estimation includes the application of the law, inheritance claim, payment of life insurance and in some countries to know who died first during the rescue of a victim of kidnapping if all those involved had died. These situations require that the forensic laboratory can move to the crime or accident scene with analytical technologies capable of collecting measurements within minutes. Pieces of evidence which are essentially products of degradation of keratotic materials such as skin, hair, bone, and nail, are associated with human remains in burial environments and can be analyzed in terms of their molecular structure viatheir vibrational spectra. In this regards, the aim of this study is twofold. Firstly to develop an optical analytical methodology we employed the light scattering, which is a physical phenomenon where the interaction of light with matter reveals valuable information about the molecular structure and dynamics of the material under examination. Secondly, this study aims to demonstrate that cartilage as a biological model can reflect through the vibrational spectra the main changes in collagen type II structure and estimate the PMI. An exciting finding in this research project is that cartilage is an excellent material for pattern evidence that changes over time and cartilage viscoelastic properties show considerable changes during decay. This study has made novel contributions since the approach presented is a new parameter for the determination of human PMI by optical metrology applied to Forensic field in a Smart Cities environment.","PeriodicalId":306836,"journal":{"name":"2019 IEEE International Smart Cities Conference (ISC2)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123527385","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 : 2019-10-01DOI: 10.1109/ISC246665.2019.9071654
Khaleel W. Mershad, Abdulhadi Damaj, Ali Hamieh
A Learning Management Systems (LMS) is a tool for creating, distributing, tracking, and managing various types of educational material. In a previous work, the authors proposed a framework for a future LMS enhanced by Internet of Things (IoT) capabilities. The authors outlined the expected enhancements that IoT will bring to the LMS functionalities. In this paper, the authors explain the detailed implementation of an LMS application that enables a lab instructor to assess students’ performance automatically during and after lab experiments. The authors explain the implementation details of the application, including the software; hardware; and IoT devices and sensors that were used to realize the application objectives and the methods used to connect the LMS to the IoT equipment. In addition, the authors explain the experiments that were made to test the efficiency of the application, which was implemented on top of the Moodle LMS using a custom Plugin that was used to connect Moodle to the IoT tools and execute the functionalities of the application.
{"title":"Using Internet of Things for Automatic Student Assessment during Laboratory Experiments","authors":"Khaleel W. Mershad, Abdulhadi Damaj, Ali Hamieh","doi":"10.1109/ISC246665.2019.9071654","DOIUrl":"https://doi.org/10.1109/ISC246665.2019.9071654","url":null,"abstract":"A Learning Management Systems (LMS) is a tool for creating, distributing, tracking, and managing various types of educational material. In a previous work, the authors proposed a framework for a future LMS enhanced by Internet of Things (IoT) capabilities. The authors outlined the expected enhancements that IoT will bring to the LMS functionalities. In this paper, the authors explain the detailed implementation of an LMS application that enables a lab instructor to assess students’ performance automatically during and after lab experiments. The authors explain the implementation details of the application, including the software; hardware; and IoT devices and sensors that were used to realize the application objectives and the methods used to connect the LMS to the IoT equipment. In addition, the authors explain the experiments that were made to test the efficiency of the application, which was implemented on top of the Moodle LMS using a custom Plugin that was used to connect Moodle to the IoT tools and execute the functionalities of the application.","PeriodicalId":306836,"journal":{"name":"2019 IEEE International Smart Cities Conference (ISC2)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126234165","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 : 2019-10-01DOI: 10.1109/ISC246665.2019.9071724
Dimitrios Karapiperis, A. Gkoulalas-Divanis, Vassilios S. Verykios
The abundance of datasets containing spatio-temporal information calls for novel record linkage methods that can effectively operate on such data to discover records that refer to the same real-world entity. In this paper, we propose the first approach for spatio-temporal record linkage that leverages the power of LSH to provide accuracy guarantees. Through experimental evaluation, we show that our approach outperforms the state-of-the-art method and can scale well to large datasets.
{"title":"Linkage of Spatio-Temporal Data and Trajectories","authors":"Dimitrios Karapiperis, A. Gkoulalas-Divanis, Vassilios S. Verykios","doi":"10.1109/ISC246665.2019.9071724","DOIUrl":"https://doi.org/10.1109/ISC246665.2019.9071724","url":null,"abstract":"The abundance of datasets containing spatio-temporal information calls for novel record linkage methods that can effectively operate on such data to discover records that refer to the same real-world entity. In this paper, we propose the first approach for spatio-temporal record linkage that leverages the power of LSH to provide accuracy guarantees. Through experimental evaluation, we show that our approach outperforms the state-of-the-art method and can scale well to large datasets.","PeriodicalId":306836,"journal":{"name":"2019 IEEE International Smart Cities Conference (ISC2)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128884731","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 : 2019-10-01DOI: 10.1109/ISC246665.2019.9071785
Hieu Nguyen, M. Rahmanpour, Narges Manouchehri, Kamal Maanicshah, Manar Amayri, N. Bouguila
The energy usage of a building depends significantly on the number of occupants inside. Therefore, occupancy detection and estimation are crucial for efficient energy consumption planning. These two tasks have been generally tackled using supervised machine learning techniques. Unlike these previous efforts, the aforementioned tasks are carried out, in this paper, automatically in unsupervised settings using a statistical framework based on finite mixture models. The main idea is based on modeling sensor features as a weighted sum of probability density functions. Unlike previous approaches in mixture modeling literatures that have generally considered Gaussian distributions, we consider scaled Dirichlet distribution that has shown recently great flexibility and efficiency in various challenging applications. In particular, we propose a novel algorithm to learn finite scaled Dirichlet mixture models via an entropy-based variational Bayesian inference approach. The results of the proposed framework are analyzed taking into account comparable methods in order to validate its efficiency.
{"title":"A Statistical Approach for Unsupervised Occupancy Detection and Estimation in Smart Buildings","authors":"Hieu Nguyen, M. Rahmanpour, Narges Manouchehri, Kamal Maanicshah, Manar Amayri, N. Bouguila","doi":"10.1109/ISC246665.2019.9071785","DOIUrl":"https://doi.org/10.1109/ISC246665.2019.9071785","url":null,"abstract":"The energy usage of a building depends significantly on the number of occupants inside. Therefore, occupancy detection and estimation are crucial for efficient energy consumption planning. These two tasks have been generally tackled using supervised machine learning techniques. Unlike these previous efforts, the aforementioned tasks are carried out, in this paper, automatically in unsupervised settings using a statistical framework based on finite mixture models. The main idea is based on modeling sensor features as a weighted sum of probability density functions. Unlike previous approaches in mixture modeling literatures that have generally considered Gaussian distributions, we consider scaled Dirichlet distribution that has shown recently great flexibility and efficiency in various challenging applications. In particular, we propose a novel algorithm to learn finite scaled Dirichlet mixture models via an entropy-based variational Bayesian inference approach. The results of the proposed framework are analyzed taking into account comparable methods in order to validate its efficiency.","PeriodicalId":306836,"journal":{"name":"2019 IEEE International Smart Cities Conference (ISC2)","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116397723","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 : 2019-10-01DOI: 10.1109/ISC246665.2019.9071741
J. Helder, Anahi Molar-Cruz, Víctor M. Larios-Rosillo
Innovative urban energy solutions are an important component of the energy transition and highly relevant to the development of sustainable and smart cities. In Latin America, where the urbanization rates are one of the highest globally, such solutions can have a major impact on the sustainable urban development. Benchmarking the capabilities of cities to implement innovative solutions requires an integrated approach. In this work, a composite indicator, the Urban Energy Innovation Index, is developed and applied with focus on Latin American cities. Three key areas are analyzed and evaluated: (1) urban structure and infrastructure, (2) urban governance and local environment, and (3) energy and sustainability. For each key area, eight indicators and several sub-indicators have been defined by consulting existing indices, publicly available data and local experts. Guadalajara (Mexico), Buenos Aires (Argentina), Bogota (Colombia) and Sao Paulo (Brazil) were assessed and compared using the developed index. The Urban Energy Innovation Index is a useful tool to identify factors that could facilitate or hinder the implementation of innovative urban energy solutions. Moreover, a comparison on the Latin American level pinpoints local solutions suitable to the common cultural context.
{"title":"Urban Energy Innovation Index for Latin American Cities","authors":"J. Helder, Anahi Molar-Cruz, Víctor M. Larios-Rosillo","doi":"10.1109/ISC246665.2019.9071741","DOIUrl":"https://doi.org/10.1109/ISC246665.2019.9071741","url":null,"abstract":"Innovative urban energy solutions are an important component of the energy transition and highly relevant to the development of sustainable and smart cities. In Latin America, where the urbanization rates are one of the highest globally, such solutions can have a major impact on the sustainable urban development. Benchmarking the capabilities of cities to implement innovative solutions requires an integrated approach. In this work, a composite indicator, the Urban Energy Innovation Index, is developed and applied with focus on Latin American cities. Three key areas are analyzed and evaluated: (1) urban structure and infrastructure, (2) urban governance and local environment, and (3) energy and sustainability. For each key area, eight indicators and several sub-indicators have been defined by consulting existing indices, publicly available data and local experts. Guadalajara (Mexico), Buenos Aires (Argentina), Bogota (Colombia) and Sao Paulo (Brazil) were assessed and compared using the developed index. The Urban Energy Innovation Index is a useful tool to identify factors that could facilitate or hinder the implementation of innovative urban energy solutions. Moreover, a comparison on the Latin American level pinpoints local solutions suitable to the common cultural context.","PeriodicalId":306836,"journal":{"name":"2019 IEEE International Smart Cities Conference (ISC2)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126432885","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 : 2019-10-01DOI: 10.1109/ISC246665.2019.9071675
Cheikhou Thiam, F. Thiam, M. Mbaye
Pay-as-you-go is the latest trend for most of the business applications and to suit it precisely a process should be followed which might be the Service Level Agreement (SLA). Cloud computing requires a clear agreed SLA signed by the service consumer and committed by a service provider. The efficiency of a datacenter depends a lot on how virtual machines are provisioned and where they are located. Virtual machine placement is an optimization problem aiming for multiple goals. An efficient VM allocation policy will improve energy efficiency while limiting the degradation of the quality of service (QoS) and alleviate hotspots, but will also reduce the operating costs of the data Center. In this paper, we study strategies of optimal VM allocation policy to minimize power consumption in a data center while preserving QoS. CloudSim simulator is used to create a cloud environment. We evaluate and compare our algorithms corresponding to different approaches in order to find the one that optimizes VM placement. The simulation result shows that some virtual machine placement strategies minimize the energy consumption and SLA violations
现收现付是大多数业务应用程序的最新趋势，为了准确地适应它，应该遵循一个流程，这可能是服务水平协议(SLA)。云计算需要由服务使用者签署并由服务提供者提交的明确商定的SLA。数据中心的效率在很大程度上取决于虚拟机的配置方式和位置。虚拟机布局是一个针对多个目标的优化问题。高效的虚拟机分配策略不仅可以提高能源效率，还可以限制QoS (quality of service)的退化，缓解热点问题，同时还可以降低数据中心的运营成本。在本文中，我们研究了在保证服务质量的同时最小化数据中心功耗的最优虚拟机分配策略。CloudSim模拟器用于创建云环境。我们评估和比较了对应于不同方法的算法，以便找到优化VM放置的算法。仿真结果表明，一些虚拟机放置策略可以最大限度地降低能耗和SLA违规
{"title":"Optimized energy and SLA-aware virtual machine placement strategies in Cloud: study","authors":"Cheikhou Thiam, F. Thiam, M. Mbaye","doi":"10.1109/ISC246665.2019.9071675","DOIUrl":"https://doi.org/10.1109/ISC246665.2019.9071675","url":null,"abstract":"Pay-as-you-go is the latest trend for most of the business applications and to suit it precisely a process should be followed which might be the Service Level Agreement (SLA). Cloud computing requires a clear agreed SLA signed by the service consumer and committed by a service provider. The efficiency of a datacenter depends a lot on how virtual machines are provisioned and where they are located. Virtual machine placement is an optimization problem aiming for multiple goals. An efficient VM allocation policy will improve energy efficiency while limiting the degradation of the quality of service (QoS) and alleviate hotspots, but will also reduce the operating costs of the data Center. In this paper, we study strategies of optimal VM allocation policy to minimize power consumption in a data center while preserving QoS. CloudSim simulator is used to create a cloud environment. We evaluate and compare our algorithms corresponding to different approaches in order to find the one that optimizes VM placement. The simulation result shows that some virtual machine placement strategies minimize the energy consumption and SLA violations","PeriodicalId":306836,"journal":{"name":"2019 IEEE International Smart Cities Conference (ISC2)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126513009","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 : 2019-10-01DOI: 10.1109/ISC246665.2019.9071762
Amir Sinaeepourfard, J. Krogstie, S. A. Petersen
Smart city solutions propose an essential technological innovation in a city. These solutions can elevate their citizens’ quality of life by multiple different smart technology management models among end-users, city planners, and technological devices, such as resource management, data management, service management, and network management. There are several works to suggest models for smart technology management, Centralized and Distributed-to-Centralized smart technology management. The Distributed-to-Centralized smart technology management (D2C-STM) model can make several advantages from the combined benefits of distributed (e.g., Fog and cloudlet) and centralized (e.g., Cloud) technologies, such as decreasing network traffics, and enhancing the security levels. In this paper, we propose a comprehensive D2C-STM model for smart cities from small to large city scale. Then, we extend our proposed ICT architecture for the Zero Emission Neighborhoods (ZEN) center. For this purpose, we tailor the idea of D2C-STM model with the ZEN Key Performance Indicators (KPIs) and their requirements. Finally, we implement a part of the ZEN ICT architecture. The focus of this implementation is to design the frontend and visualizations of the ZEN KPIs.
{"title":"A Distributed-to-Centralized Smart Technology Management (D2C-STM) model for Smart Cities: a Use Case in the Zero Emission Neighborhoods","authors":"Amir Sinaeepourfard, J. Krogstie, S. A. Petersen","doi":"10.1109/ISC246665.2019.9071762","DOIUrl":"https://doi.org/10.1109/ISC246665.2019.9071762","url":null,"abstract":"Smart city solutions propose an essential technological innovation in a city. These solutions can elevate their citizens’ quality of life by multiple different smart technology management models among end-users, city planners, and technological devices, such as resource management, data management, service management, and network management. There are several works to suggest models for smart technology management, Centralized and Distributed-to-Centralized smart technology management. The Distributed-to-Centralized smart technology management (D2C-STM) model can make several advantages from the combined benefits of distributed (e.g., Fog and cloudlet) and centralized (e.g., Cloud) technologies, such as decreasing network traffics, and enhancing the security levels. In this paper, we propose a comprehensive D2C-STM model for smart cities from small to large city scale. Then, we extend our proposed ICT architecture for the Zero Emission Neighborhoods (ZEN) center. For this purpose, we tailor the idea of D2C-STM model with the ZEN Key Performance Indicators (KPIs) and their requirements. Finally, we implement a part of the ZEN ICT architecture. The focus of this implementation is to design the frontend and visualizations of the ZEN KPIs.","PeriodicalId":306836,"journal":{"name":"2019 IEEE International Smart Cities Conference (ISC2)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127848243","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 : 2019-10-01DOI: 10.1109/ISC246665.2019.9071695
M. A. Khan
Fog computing (alternatively known as Edge computing) is a new paradigm that can be used near mobile devices to perform computational tasks effectively and efficiently. There can be many possible computational models for mobile devices using fog computing to get the tasks done. A smart city is a framework where mobile devices such as smartphones, smart wearable devices, mobile computing devices and many more communicate with each other, with neighboring devices and with other infrastructure such as wireless access points deployed in the city to use services and facilities provided within the smart city. A key requirement of any smart city is the availability of a seamless, reliable, secure broadband wireless network to support the services provided by the municipalities as well as other commercial service providers. An example of such potential wireless networks is new 5G technology that is being tested currently and will be available commercially in the near future. The objective of a smart city is to provide excellent quality of life to its residents using such new technologies through sustainable means. In this paper, we address the research question that what will be the role of fog computing in a smart city where 5G enabled wireless technology is used. We present a conceptual model called Smart-City-Fog model and describe its functionalities in the context of smart cities.
{"title":"Fog Computing in 5G Enabled Smart Cities: Conceptual Framework, Overview and Challenges","authors":"M. A. Khan","doi":"10.1109/ISC246665.2019.9071695","DOIUrl":"https://doi.org/10.1109/ISC246665.2019.9071695","url":null,"abstract":"Fog computing (alternatively known as Edge computing) is a new paradigm that can be used near mobile devices to perform computational tasks effectively and efficiently. There can be many possible computational models for mobile devices using fog computing to get the tasks done. A smart city is a framework where mobile devices such as smartphones, smart wearable devices, mobile computing devices and many more communicate with each other, with neighboring devices and with other infrastructure such as wireless access points deployed in the city to use services and facilities provided within the smart city. A key requirement of any smart city is the availability of a seamless, reliable, secure broadband wireless network to support the services provided by the municipalities as well as other commercial service providers. An example of such potential wireless networks is new 5G technology that is being tested currently and will be available commercially in the near future. The objective of a smart city is to provide excellent quality of life to its residents using such new technologies through sustainable means. In this paper, we address the research question that what will be the role of fog computing in a smart city where 5G enabled wireless technology is used. We present a conceptual model called Smart-City-Fog model and describe its functionalities in the context of smart cities.","PeriodicalId":306836,"journal":{"name":"2019 IEEE International Smart Cities Conference (ISC2)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130471768","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 : 2019-10-01DOI: 10.1109/ISC246665.2019.9071712
Md Tajul Islam, Baek-Young Choi
With the incremental use and development of the mobile device, mobile computing, and mobile application, a mobile device user must access the internet from everywhere. Enterprise Wireless LANs (E-WLANs), that is WiFi connectivity enabled by the university, airport, or other enterprise campus environment has become a prominent way of accessing the Internet in the urban area because of an easier and secure way of accessing network. To give better experiences to the user, E-WLANs are deployed densely and a user can be association range of multiple Access Point (AP). The traditional way of accessing AP for the user i.e., strongest RSSI based access would cause the imbalance of the number of user per AP which lead resource waste and reduction of overall network throughput and utilization. In this paper, we propose a scheme which aims to maximize the overall network throughput as well as utilization by considering diverse user demand and AP capacity. A relaxation algorithm is proposed where we consider relaxation and rounding techniques for the solution of the optimization problem. Our evaluation results indicate that the proposed algorithm is significantly superior in term of network throughput, utilization and fairness index.
{"title":"Jointly Maximizing Throughput and Utilization for Dense Enterprise WLANs","authors":"Md Tajul Islam, Baek-Young Choi","doi":"10.1109/ISC246665.2019.9071712","DOIUrl":"https://doi.org/10.1109/ISC246665.2019.9071712","url":null,"abstract":"With the incremental use and development of the mobile device, mobile computing, and mobile application, a mobile device user must access the internet from everywhere. Enterprise Wireless LANs (E-WLANs), that is WiFi connectivity enabled by the university, airport, or other enterprise campus environment has become a prominent way of accessing the Internet in the urban area because of an easier and secure way of accessing network. To give better experiences to the user, E-WLANs are deployed densely and a user can be association range of multiple Access Point (AP). The traditional way of accessing AP for the user i.e., strongest RSSI based access would cause the imbalance of the number of user per AP which lead resource waste and reduction of overall network throughput and utilization. In this paper, we propose a scheme which aims to maximize the overall network throughput as well as utilization by considering diverse user demand and AP capacity. A relaxation algorithm is proposed where we consider relaxation and rounding techniques for the solution of the optimization problem. Our evaluation results indicate that the proposed algorithm is significantly superior in term of network throughput, utilization and fairness index.","PeriodicalId":306836,"journal":{"name":"2019 IEEE International Smart Cities Conference (ISC2)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128156210","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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