1,121 Hits in 7.0 sec

A Multi-dimension Measurement Study of a Large Scale Campus WiFi Network

Congcong Miao, Jilong Wang, Hui Wang, Jun Zhang, Weiwei Zhou, Shengchao Liu
2018 2018 IEEE 43rd Conference on Local Computer Networks (LCN)  
After 802.1x WiFi authentication-method deployment, UII saw an opportunity to utilise WiFi metadata as a source of business intelligence.  ...  With more than 700 high density access points and roughly 30,000 users, most of internet connectivity in campus is provided from WiFi access.  ...  How 802.1x Enhances Knowledge Extraction from Large Scale Campus WiFi Deployment.  ... 
doi:10.1109/lcn.2018.8638246 dblp:conf/lcn/MiaoWWZZL18 fatcat:kel7idscxbe6hf3cjkye3sxify

Large-Scale Location-Aware Services in Access: Hierarchical Building/Floor Classification and Location Estimation Using Wi-Fi Fingerprinting Based on Deep Neural Networks

Kyeong Soo Kim, Ruihao Wang, Zhenghang Zhong, Zikun Tan, Haowei Song, Jaehoon Cha, Sanghyuk Lee
2018 Fiber and integrated optics (Print)  
One of key technologies for future large-scale location-aware services in access is a scalable indoor localization technique.  ...  Wi-Fi fingerprinting, which we carried out as part of a feasibility study project on Xi'an Jiaotong-Liverpool University (XJTLU) Campus Information and Visitor Service System.  ...  SUMMARY In this paper we have introduced the feasibility study project on the XJTLU Campus Information and Visitor Service system, which will serve as a test bed for large-scale locationaware services  ... 
doi:10.1080/01468030.2018.1467515 fatcat:zi32mfmvfrb6bhzr4vkn5rx2ui

Campus Wireless Network Classification for Enterprise Adoption: Perspectives and Dimensions for Large Scale Computing

E.O. Nonum, P.O. Otasowie, K.C. Okafor
2016 International Journal of Computer Applications  
For the large scale computing network model, the advantages of the system include: easing of management tasks through the autonomic systems, ability to self-configure, self-optimizeze and self-heal.  ...  Research gaps were identified and a proposed autonomic web services architecture that manages both the performance of service users and the interconnection of WiMax-Wifi infrastructure into a service overlay  ...  This satisfies the requirement of large scale computing for campus services and grid collaboration.  ... 
doi:10.5120/ijca2016909953 fatcat:pa7wgbc77ng3rhm3u646vgzkqe

Visualization of WiFi Signals Using Programmable Transfer Functions

Alexander Rowden, Eric Krokos, Kirsten Whitley, Amitabh Varshney
2022 Information  
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// 4.0/).  ...  Data To evaluate the effectiveness of our Programmable Transfer Functions, we visualize WiFi signal strength data as representing a varying volume over a large scale.  ...  The methods developed and explored here will lead to new tools to analyze how various channels may interact on a large scale, such as over a university campus or a smart city.  ... 
doi:10.3390/info13050224 dblp:journals/information/RowdenKWV22 fatcat:gus64dgvvjbljfztstux7d3iyy

A behavior-aware profiling of handheld devices

Xuetao Wei, Nicholas C. Valler, Harsha V. Madhyastha, Iulian Neamtiu, Michalis Faloutsos
2015 2015 IEEE Conference on Computer Communications (INFOCOM)  
Second, we conduct an extensive study of BYOHs using our approach with real data collected over a year, and highlight several novel insights on the behavior of BYOHs.  ...  Prior efforts only focused on studying either the comparative characterization of aggregate network traffic between BYOHs and non-BYOHs or network performance issues, such as TCP and download times or  ...  The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the National Science Foundation  ... 
doi:10.1109/infocom.2015.7218455 dblp:conf/infocom/WeiVMNF15 fatcat:4t4iuxxvovfwznjqwuk3a3t4fy

SHIELD: Social sensing and Help In Emergency using mobiLe Devices

Gautam S. Thakur, Mukul Sharma, Ahmed Helmy
2010 2010 IEEE Global Telecommunications Conference GLOBECOM 2010  
School and College campuses face a perceived threat of violent crimes and require a realistic plan against unpredictable emergencies and disasters.  ...  Analysis of campus crime statistics and WLAN traces surprisingly show a strong positive correlation (over 55%) between on-campus crime statistics and spatiotemporal density distribution of on-campus mobile  ...  Table - 1 - shows the measurements used for our purpose of study. The above measurements are collected from the main university campus of University of Florida.  ... 
doi:10.1109/glocom.2010.5683410 dblp:conf/globecom/ThakurSH10 fatcat:shapfa7werc3helk4prsvzgma4

Eagle eye: A dual-radio architecture in delay tolerant networks

Linghe Kong, Tianji Li, Min-You Wu, Wei Shut
2012 2012 IEEE 9th International Conference on Mobile Ad-Hoc and Sensor Systems (MASS 2012)  
This EE radio can "see" real-time movement information of nodes in a significantly large range, and so much early scheduling can be done with this radio when compared with WiFi which is still in charge  ...  In most delay tolerant network (DTN) applications, mobile nodes utilize WiFi radios to obtain local information and transmit data.  ...  For further studying the performance in a large-scale s- cenario, we used computer simulations based on real trace data of 4000 taxis from the Shanghai urban vehicular network (SUVnet) project [28] .  ... 
doi:10.1109/mass.2012.6502521 dblp:conf/mass/KongLWS12 fatcat:jybbnyyr7nagvcopz6pzr3kl2y

Large-Scale Deep Learning Framework on FPGA for Fingerprint-Based Indoor Localization

Chang LIU, Chun WANG, Juan LUO
2020 IEEE Access  
In addition, we also demonstrate a WiFi-based fingerprinting indoor localization system for a crowdsensed university campus scenario.  ...  .: Large-Scale Deep Learning Framework on FPGA for Fingerprint-Based Indoor Localization  ...  For example, the dimension of a raw WiFi RSS dataset is defined as the number of access points (APs) scanned in the entire area of interest.  ... 
doi:10.1109/access.2020.2985162 fatcat:dflykan6dbd5vo57rlqxyeh4bi

Leveraging WiFi Network Logs to Infer Student Collocation and its Relationship with Academic Performance [article]

V. Das Swain, H. Kwon, S. Sargolzaei, B. Saket, M. Bin Morshed, K. Tran, D. Patel, Y. Tian, J. Philipose, Y. Cui, T. Plötz, M. De Choudhury (+1 others)
2021 arXiv   pre-print
A comprehensive understanding of collocation can help understand performance outcomes. For university cohorts, this needs data that describes large groups over a long period.  ...  After describing how we determine collocation with the WiFi logs, we present a study to analyze how collocation within groups relates to a student's final score.  ...  This paper motivates the use of existing infrastructure data, such as WiFi logs, to perform large-scale longitudinal analyses of social interactions on campus to inform applications for academic outcomes  ... 
arXiv:2005.11228v2 fatcat:ujowxecstncjlpplar7tvtsyqq

Smart Campus: An Experimental Performance Comparison of Collaborative and Cooperative Schemes for Wireless Sensor Network

Carolina Del-Valle-Soto, Leonardo J. Valdivia, Ramiro Velázquez, Luis Rizo-Dominguez, Juan-Carlos López-Pimentel
2019 Energies  
These networks can send large amounts of information in a fairly efficient but insecure wireless environment.  ...  To test and compare their performance, multiple sensors are placed at different points of a university campus to create a network that can accurately simulate a smart city.  ...  The one that presents worse coverage is WiFi and is understandable due to the large number of devices connected to campus networks, it is logical that the characteristics of a campus present a smaller  ... 
doi:10.3390/en12163135 fatcat:2qiszmnxjfc5jnzxobue5emg5m

Wireless LAN Service Quality Optimization in Academic Environments

Moses E. Ekpenyong, Uduak A. Umoh, Udoinyang G. Inyang, Aniekpeno M. Jackson
2017 Modern Applied Science  
Further, the least MAE of 0.4707 for test data was obtained from town campus Annex.  ...  the system under study, as well as the quality of data collected.  ...  Uyo -for their involvement in the fieldwork phase of this research (test bed construction, field measurements, and deployment).  ... 
doi:10.5539/mas.v11n10p166 fatcat:ockheliepndsth7fk4vgy6oru4

Modeling Classroom Occupancy using Data of WiFi Infrastructure in a University Campus [article]

Iresha Pasquel Mohottige and Hassan Habibi Gharakheili and Vijay Sivaraman and Tim Moors
2021 arXiv   pre-print
In a dense campus environment, the number of connected WiFi users does not well estimate room occupancy since connection counts are polluted by adjoining rooms, outdoor walkways, and network load balancing  ...  Our contributions are three-fold: (1) We analyze metadata from a dense and dynamic wireless network comprising of thousands of access points (APs) to draw insights into coverage of APs, behavior of WiFi  ...  The large values seen in the WiFi logs for retries are not surprising since interference and multi-path fading are common in a dense WiFi network. 09am 10am 11am 12pm Time L1-mat29 L1-mat11 L1-mat06 L2  ... 
arXiv:2104.10667v1 fatcat:2pauyszllbewrav2jmnjgtd7a4

RatSLAM: Using Models of Rodent Hippocampus for Robot Navigation and Beyond [chapter]

Michael Milford, Adam Jacobson, Zetao Chen, Gordon Wyeth
2016 Springer Tracts in Advanced Robotics  
We describe recent biologically-inspired mapping research incorporating brain-based multisensor fusion and calibration processes and a new multi-scale, homogeneous mapping framework.  ...  Our aim is to encourage the pursuit of truly interdisciplinary approaches to robotics research by providing successful case studies.  ...  The dimensions of the cell array nominally correspond to the three-dimensional pose of a ground-based robot -x, y, and θ.  ... 
doi:10.1007/978-3-319-28872-7_27 fatcat:kcexmguchnan3fowovc3re5ahm

Communication Network Architectures for Smart-House with Renewable Energy Resources

Mohamed Ahmed, Yong Kang, Young-Chon Kim
2015 Energies  
The technical specifications of the small-scale WT dimensions given in [23] are considered to build the communication network model, as shown in Table 7 . For the PV system, the communication network  ...  This paper describes the design of a communication network architecture using both wired and wireless technologies for monitoring and controlling distributed energy systems involving small-scale wind turbines  ...  Mohamed A. Ahmed, Young-Chon Kim, and Yong Cheol Kang mainly proposed the scheme of this paper. Mohamed A. Ahmed has carried out the simulation and Young-Chon Kim has checked the simulation results.  ... 
doi:10.3390/en8088716 fatcat:kcb5vts7yrdbdoldh6q5prwb64

Characterizing Communicability of Networks formed on Mobile Nodes [article]

Karim Keramat Jahromi
2016 arXiv   pre-print
In this paper, we measure communicability capacity of DTN Network formed over the mobile nodes at a university campus and also an area in Montreal city through exploiting static and temporal graphs.  ...  Nowadays studying of DTN Delay Tolerant Networks (DTN) and Opportunistic Networks where formed over these mobile nodes, is one of the interesting topics in the research community.  ...  of nodes) for real-world datasets (university campus and Montreal city WiFi datasets and also in larger scale the smartphones dataset ) and also the synthetic networks.  ... 
arXiv:1612.08861v1 fatcat:osouqimxfferldxu3ukfx4wwye
« Previous Showing results 1 — 15 out of 1,121 results