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

Research output: Contribution to journalConference article in JournalResearchpeer-review

Abstract

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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Details

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.
Original languageEnglish
JournalWireless Personal Communications
ISSN0929-6212
Publication statusSubmitted - 2019
Publication categoryResearch
Peer-reviewedYes
EventGlobal Wireless Summit 2016 - Aarhus, Denmark
Duration: 27 Nov 201630 Nov 2016

Conference

ConferenceGlobal Wireless Summit 2016
CountryDenmark
CityAarhus
Period27/11/201630/11/2016
ID: 249455683