Trends and patterns of broadband Internet access speed in a Nigerian university campus: A robust data exploration
Efficient broadband Internet access is required for optimal productivity in smart campuses. Besides access to broadband Internet, delivery of high speed and good Quality of Service (QoS) are pivotal to achieving a sustainable development in the area of education. In this data article, trends and pat...
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doaj-20f35b96b7d44f3c8d8671816e71a5fc2020-11-25T01:52:43ZengElsevierData in Brief2352-34092019-04-0123Trends and patterns of broadband Internet access speed in a Nigerian university campus: A robust data explorationAderemi A. Atayero0Segun I. Popoola1Oluwaseun J. Adeyemi2David G. Afolayan3Matthew B. Akanle4Victor Adetola5Emmanuel Adetiba6IoT-enabled Smart and Connected Communities (SmartCU) Research Cluster, Department of Electrical and Information Engineering, Covenant University, Ota, NigeriaIoT-enabled Smart and Connected Communities (SmartCU) Research Cluster, Department of Electrical and Information Engineering, Covenant University, Ota, Nigeria; Corresponding author.Center for Systems and Information Services, Covenant University, Ota, NigeriaCenter for Systems and Information Services, Covenant University, Ota, NigeriaCenter for Systems and Information Services, Covenant University, Ota, NigeriaCenter for Systems and Information Services, Covenant University, Ota, NigeriaIoT-enabled Smart and Connected Communities (SmartCU) Research Cluster, Department of Electrical and Information Engineering, Covenant University, Ota, Nigeria; Center for Systems and Information Services, Covenant University, Ota, Nigeria; HRA, Institute for Systems Science, Durban University of Technology, Durban, South AfricaEfficient broadband Internet access is required for optimal productivity in smart campuses. Besides access to broadband Internet, delivery of high speed and good Quality of Service (QoS) are pivotal to achieving a sustainable development in the area of education. In this data article, trends and patterns of the speed of broadband Internet provided in a Nigerian private university campus are largely explored. Data transmission speed and data reception speed were monitored and recorded on daily basis at Covenant University, Nigeria for a period of twelve months (January–December, 2017). The continuous data collection and logging were performed at the Network Operating Center (NOC) of the university using SolarWinds Orion software. Descriptive statistics, correlation and regression analyses, Probability Density Functions (PDFs), Cumulative Distribution Functions (CDFs), Analysis of Variance (ANOVA) test, and multiple comparison post-hoc test are performed using MATLAB 2016a. Extensive statistical visualizations of the results obtained are presented in tables, graphs, and plots. Availability of these data will help network administrators to determine optimal network latency towards efficient deployment of high-speed broadband communication networks in smart campuses. Keywords: Smart campus, Broadband internet access, Data bit rate, Mobile communication, Knowledge managementhttp://www.sciencedirect.com/science/article/pii/S235234091930054X |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Aderemi A. Atayero Segun I. Popoola Oluwaseun J. Adeyemi David G. Afolayan Matthew B. Akanle Victor Adetola Emmanuel Adetiba |
spellingShingle |
Aderemi A. Atayero Segun I. Popoola Oluwaseun J. Adeyemi David G. Afolayan Matthew B. Akanle Victor Adetola Emmanuel Adetiba Trends and patterns of broadband Internet access speed in a Nigerian university campus: A robust data exploration Data in Brief |
author_facet |
Aderemi A. Atayero Segun I. Popoola Oluwaseun J. Adeyemi David G. Afolayan Matthew B. Akanle Victor Adetola Emmanuel Adetiba |
author_sort |
Aderemi A. Atayero |
title |
Trends and patterns of broadband Internet access speed in a Nigerian university campus: A robust data exploration |
title_short |
Trends and patterns of broadband Internet access speed in a Nigerian university campus: A robust data exploration |
title_full |
Trends and patterns of broadband Internet access speed in a Nigerian university campus: A robust data exploration |
title_fullStr |
Trends and patterns of broadband Internet access speed in a Nigerian university campus: A robust data exploration |
title_full_unstemmed |
Trends and patterns of broadband Internet access speed in a Nigerian university campus: A robust data exploration |
title_sort |
trends and patterns of broadband internet access speed in a nigerian university campus: a robust data exploration |
publisher |
Elsevier |
series |
Data in Brief |
issn |
2352-3409 |
publishDate |
2019-04-01 |
description |
Efficient broadband Internet access is required for optimal productivity in smart campuses. Besides access to broadband Internet, delivery of high speed and good Quality of Service (QoS) are pivotal to achieving a sustainable development in the area of education. In this data article, trends and patterns of the speed of broadband Internet provided in a Nigerian private university campus are largely explored. Data transmission speed and data reception speed were monitored and recorded on daily basis at Covenant University, Nigeria for a period of twelve months (January–December, 2017). The continuous data collection and logging were performed at the Network Operating Center (NOC) of the university using SolarWinds Orion software. Descriptive statistics, correlation and regression analyses, Probability Density Functions (PDFs), Cumulative Distribution Functions (CDFs), Analysis of Variance (ANOVA) test, and multiple comparison post-hoc test are performed using MATLAB 2016a. Extensive statistical visualizations of the results obtained are presented in tables, graphs, and plots. Availability of these data will help network administrators to determine optimal network latency towards efficient deployment of high-speed broadband communication networks in smart campuses. Keywords: Smart campus, Broadband internet access, Data bit rate, Mobile communication, Knowledge management |
url |
http://www.sciencedirect.com/science/article/pii/S235234091930054X |
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