Urban WiFi characterization via mobile crowdsensing

Arsham Farshad; Mahesh K. Marina; Francisco J. Garcia

doi:10.1109/NOMS.2014.6838233

Urban WiFi characterization via mobile crowdsensing

Arsham Farshad, Mahesh K. Marina, Francisco J. Garcia

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We present a mobile crowdsensing approach for urban WiFi characterization that leverages commodity smartphones and the natural mobility of people. Specifically, we report measurement results obtained for Edinburgh, a representative European city, on detecting the presence of deployedWiFi APs via the mobile crowdsensing approach. They show that few channels in 2.4GHz are heavily used; in contrast, there is hardly any activity in the 5GHz band even though relatively it has a greater number of available channels. Spatial analysis of spectrum usage reveals that mutual interference among nearby APs operating in the same channel can be a serious problem with around 10 APs contending with each other in many locations. We find that the characteristics of WiFi deployments at city-scale are similar to that of WiFi deployments in public spaces of different indoor environments. We validate our approach in comparison with wardriving, and also show that our findings generally match with previous studies based on other measurement approaches. As an application of the mobile crowdsensing based urban WiFi monitoring, we outline a cloud based WiFi router configuration service for better interference management with global awareness in urban areas.

Urban WiFi characterization via mobile crowdsensing. Available from: http://www.researchgate.net/publication/269300609_Urban_WiFi_characterization_via_mobile_crowdsensing [accessed Aug 10, 2015].

Original language	English
Title of host publication	2014 IEEE Network Operations and Management Symposium, NOMS 2014, Krakow, Poland, May 5-9, 2014
Pages	1-9
Number of pages	9
DOIs	https://doi.org/10.1109/NOMS.2014.6838233
Publication status	Published - 2014

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10.1109/NOMS.2014.6838233

http://dx.doi.org/10.1109/NOMS.2014.6838233

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@inproceedings{f4de301e11854f10ad3665d92e7e42a6,

title = "Urban WiFi characterization via mobile crowdsensing",

abstract = "We present a mobile crowdsensing approach for urban WiFi characterization that leverages commodity smartphones and the natural mobility of people. Specifically, we report measurement results obtained for Edinburgh, a representative European city, on detecting the presence of deployedWiFi APs via the mobile crowdsensing approach. They show that few channels in 2.4GHz are heavily used; in contrast, there is hardly any activity in the 5GHz band even though relatively it has a greater number of available channels. Spatial analysis of spectrum usage reveals that mutual interference among nearby APs operating in the same channel can be a serious problem with around 10 APs contending with each other in many locations. We find that the characteristics of WiFi deployments at city-scale are similar to that of WiFi deployments in public spaces of different indoor environments. We validate our approach in comparison with wardriving, and also show that our findings generally match with previous studies based on other measurement approaches. As an application of the mobile crowdsensing based urban WiFi monitoring, we outline a cloud based WiFi router configuration service for better interference management with global awareness in urban areas. Urban WiFi characterization via mobile crowdsensing. Available from: http://www.researchgate.net/publication/269300609_Urban_WiFi_characterization_via_mobile_crowdsensing [accessed Aug 10, 2015].",

author = "Arsham Farshad and Marina, {Mahesh K.} and Garcia, {Francisco J.}",

note = "Date of acceptance: ",

year = "2014",

doi = "10.1109/NOMS.2014.6838233",

language = "English",

pages = "1--9",

booktitle = "2014 IEEE Network Operations and Management Symposium, NOMS 2014, Krakow, Poland, May 5-9, 2014",

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TY - GEN

T1 - Urban WiFi characterization via mobile crowdsensing

AU - Farshad, Arsham

AU - Marina, Mahesh K.

AU - Garcia, Francisco J.

N1 - Date of acceptance:

PY - 2014

Y1 - 2014

N2 - We present a mobile crowdsensing approach for urban WiFi characterization that leverages commodity smartphones and the natural mobility of people. Specifically, we report measurement results obtained for Edinburgh, a representative European city, on detecting the presence of deployedWiFi APs via the mobile crowdsensing approach. They show that few channels in 2.4GHz are heavily used; in contrast, there is hardly any activity in the 5GHz band even though relatively it has a greater number of available channels. Spatial analysis of spectrum usage reveals that mutual interference among nearby APs operating in the same channel can be a serious problem with around 10 APs contending with each other in many locations. We find that the characteristics of WiFi deployments at city-scale are similar to that of WiFi deployments in public spaces of different indoor environments. We validate our approach in comparison with wardriving, and also show that our findings generally match with previous studies based on other measurement approaches. As an application of the mobile crowdsensing based urban WiFi monitoring, we outline a cloud based WiFi router configuration service for better interference management with global awareness in urban areas. Urban WiFi characterization via mobile crowdsensing. Available from: http://www.researchgate.net/publication/269300609_Urban_WiFi_characterization_via_mobile_crowdsensing [accessed Aug 10, 2015].

AB - We present a mobile crowdsensing approach for urban WiFi characterization that leverages commodity smartphones and the natural mobility of people. Specifically, we report measurement results obtained for Edinburgh, a representative European city, on detecting the presence of deployedWiFi APs via the mobile crowdsensing approach. They show that few channels in 2.4GHz are heavily used; in contrast, there is hardly any activity in the 5GHz band even though relatively it has a greater number of available channels. Spatial analysis of spectrum usage reveals that mutual interference among nearby APs operating in the same channel can be a serious problem with around 10 APs contending with each other in many locations. We find that the characteristics of WiFi deployments at city-scale are similar to that of WiFi deployments in public spaces of different indoor environments. We validate our approach in comparison with wardriving, and also show that our findings generally match with previous studies based on other measurement approaches. As an application of the mobile crowdsensing based urban WiFi monitoring, we outline a cloud based WiFi router configuration service for better interference management with global awareness in urban areas. Urban WiFi characterization via mobile crowdsensing. Available from: http://www.researchgate.net/publication/269300609_Urban_WiFi_characterization_via_mobile_crowdsensing [accessed Aug 10, 2015].

U2 - 10.1109/NOMS.2014.6838233

DO - 10.1109/NOMS.2014.6838233

M3 - Conference contribution

SP - 1

EP - 9

BT - 2014 IEEE Network Operations and Management Symposium, NOMS 2014, Krakow, Poland, May 5-9, 2014

ER -

Urban WiFi characterization via mobile crowdsensing

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