Comparison of IoTStack and EdgeX Foundry Performance For Asset Tracking

In the era of widespread Internet of Things (IoT) applications, particularly within transportation, addressing delay and security concerns is critical. This paper investigates two prominent IoT server technologies—EdgeX Foundry and IoT Stack—evaluating their performance in connected vehicle environments. We conducted extensive benchmarking to measure processing delays, showing that EdgeX Foundry reduced average delay by 25% compared to the IoT Stack approach under identical conditions. The integration of 5G/EdgeX Foundry decreased the latency around 40%, which its reached to 10 milliseconds and less. This is required for realtime tracking and monitoring of vehicles. The results thats obtained show that 5G/EdgeX Foundry significantly enhances system utilization, providing an encrypted, extensible approachs ideal for mobility and other dependent on latency IoT operations.

Authors

Institutions

Publication Details

Journal
Procedia Computer Science
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procs.2025.04.594
Citations
1
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
1.49
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparison of IoTStack and EdgeX Foundry Performance For Asset Tracking

Tariq Emad Ali, Faten Imad Ali, Alwahab Dhulfiqar Zoltán, Benedek Kovacs
1 citations
Procedia Computer Science
IoT and Edge/Fog Computing
1.49
article

Comparison of IoTStack and EdgeX Foundry Performance For Asset Tracking

Tariq Emad Ali, Faten Imad Ali, Alwahab Dhulfiqar Zoltán, Benedek Kovacs
article en
1 citations

Abstract

In the era of widespread Internet of Things (IoT) applications, particularly within transportation, addressing delay and security concerns is critical. This paper investigates two prominent IoT server technologies—EdgeX Foundry and IoT Stack—evaluating their performance in connected vehicle environments. We conducted extensive benchmarking to measure processing delays, showing that EdgeX Foundry reduced average delay by 25% compared to the IoT Stack approach under identical conditions. The integration of 5G/EdgeX Foundry decreased the latency around 40%, which its reached to 10 milliseconds and less. This is required for realtime tracking and monitoring of vehicles. The results thats obtained show that 5G/EdgeX Foundry significantly enhances system utilization, providing an encrypted, extensible approachs ideal for mobility and other dependent on latency IoT operations.

Procedia Computer ScienceVol. 258
Eötvös Loránd University (HU), University of Baghdad (IQ), Ericsson (Hungary) (HU), Nahrain University (IQ)
Openalex Percentile: Top 17%
IoT and Edge/Fog Computing
1.49
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.