On the Benefits and Challenges of Crowd-Sourced Network Performance Measurements for IoT Scenarios

Lars Møller Mikkelsen, Tatiana Kozlova Madsen, Hans-Peter Schwefel

Publikation: Bidrag til tidsskriftKonferenceartikel i tidsskriftForskningpeer review

Resumé

Systems within IoT domains such as ITS, Smart City, Smart Grid and other, often rely on real-time information and communication.
These types of systems often include geographically distributed nodes which are connected via cellular or other wireless networks.
This means great variability and uncertainty in network connection performance, effectively increasing the expected minimum system response time.
Having information about network connection performance means that it is possible to predict the performance of the system in terms of sensor access delay or application response time.
We obtain the performance information, in terms of signal strength and transport layer round trip time, using crowd sourcing and consumer devices which causes the measurements to be heterogeneously distributed.
From these measurements we want to create a network performance map but in areas with sparse measurements the reliability of the map values will be low.
To solve this problem we include neighboring measurements and evaluate the impact of doing so.
We show that generally there is a benefit from including neighboring measurements, and that transport layer round trip times are less sensitive to bias when increasing the size of the extended area to include measurements from.
OriginalsprogEngelsk
TidsskriftWireless Personal Communications
ISSN0929-6212
StatusAfsendt - 2019
BegivenhedGlobal Wireless Summit 2016 - Aarhus, Danmark
Varighed: 27 nov. 201630 nov. 2016

Konference

KonferenceGlobal Wireless Summit 2016
LandDanmark
ByAarhus
Periode27/11/201630/11/2016

Citer dette

Mikkelsen, L. M., Madsen, T. K., & Schwefel, H-P. (2019). On the Benefits and Challenges of Crowd-Sourced Network Performance Measurements for IoT Scenarios. Manuskript afsendt til publicering.
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On the Benefits and Challenges of Crowd-Sourced Network Performance Measurements for IoT Scenarios. / Mikkelsen, Lars Møller; Madsen, Tatiana Kozlova; Schwefel, Hans-Peter.

I: Wireless Personal Communications, 2019.

Publikation: Bidrag til tidsskriftKonferenceartikel i tidsskriftForskningpeer review

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AU - Madsen, Tatiana Kozlova

AU - Schwefel, Hans-Peter

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AB - Systems within IoT domains such as ITS, Smart City, Smart Grid and other, often rely on real-time information and communication.These types of systems often include geographically distributed nodes which are connected via cellular or other wireless networks.This means great variability and uncertainty in network connection performance, effectively increasing the expected minimum system response time.Having information about network connection performance means that it is possible to predict the performance of the system in terms of sensor access delay or application response time.We obtain the performance information, in terms of signal strength and transport layer round trip time, using crowd sourcing and consumer devices which causes the measurements to be heterogeneously distributed.From these measurements we want to create a network performance map but in areas with sparse measurements the reliability of the map values will be low.To solve this problem we include neighboring measurements and evaluate the impact of doing so.We show that generally there is a benefit from including neighboring measurements, and that transport layer round trip times are less sensitive to bias when increasing the size of the extended area to include measurements from.

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JO - Wireless Personal Communications

JF - Wireless Personal Communications

SN - 0929-6212

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