@inproceedings{Kappelt2025:MachineLearning,

title = {Machine Learning for In-Network Spatial Localization within Wireless Mesh Networks},

author = {Peter {Kappelt} and Christian Leonard {Vielhaus} and Justus {Rischke} and Marek {Sobe} and Frank H. P. {Fitzek}},

year  = {2025},

date = {2025-06-08},

urldate = {2025-06-01},

booktitle = {IEEE International Conference on Communications (ICC)},

pages = {5.97},

address = {Montreal, Canada},

abstract = {Wireless localization is a crucial technology for determining the spatial 

position of nodes within a wireless network, with applications ranging from 

indoor navigation to asset tracking and robotic movement. However, 

traditional localization methods often rely on specialized hardware, while 

other localization methods suitable for commodity hardware tend to have 

limited accuracy. To improve localization accuracy, we propose models that 

integrate machine learning (ML) techniques for distance and position 

estimation. We observe improved localization performance by incorporating 

not only signal strength indicators from the physical layer, but also 

features specific to the mesh link layer of wireless mesh networks as model 

inputs. Furthermore, a proposed end-to-end machine learning localization 

model demonstrates promising performance by leveraging diverse network 

features for the direct inference of node position estimates. 

We evaluate the models using experimental data from a measurement campaign 

we conducted in an office environment hosting a wireless mesh testbed. Our 

method achieves an absolute position error of less than two meters. Using 

both information specific to mesh networks and novel machine learning 

methods yields improved performance, making our approach a promising 

solution for industrial applications.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Schert24:DymoBat,

title = {Dynamic Optimization for Smart EV Charging: Insights from the DymoBat Project},

author = {Kelaja {Schert} and Razan {Habeeb} and Shiwei {Shen} and Syed Irtaza {Haider} and Charlotte Martha {Sprengel} and Fawez {Drissi} and Ernest {Scholtz} and Marek {Sobe} and Franciszek {Aniol} and Alexander {Blechschmid}},

year  = {2024},

date = {2024-10-29},

urldate = {2024-10-29},

booktitle = {IEEE International Smart Cities Conference (ISC2)},

pages = {1-6},

address = {Pattaya, Thailand},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Groh2101:Interference,

title = {Interference resilience of Thread: A practical performance evaluation},

author = {Andreas I. {Grohmann} and David {Nophut} and Marek {Sobe} and Adrian {Bretschneider} and Frank H. P. {Fitzek}},

year  = {2021},

date = {2021-01-09},

booktitle = {2021 IEEE 18th Annual Consumer Communications \& Networking Conference 

(CCNC) (CCNC 2021)},

address = {Las Vegas, USA},

abstract = {Currently, most IoT services are hosted centralized 

in a cloud. However, they rely on data gathered by numerous 

distributed sensors, which require to be connected to these clouds. 

At the moment this is realized with non-IP based proprietary 

wireless sensor networks that use inflexible networking concepts 

and require to be carefully configured. 

The Thread protocol, with its implementation OpenThread, is 

a new wireless mesh approach to solve this problem. OpenThread 

is maintained by the Thread group, which is an organization 

supported by almost 300 companies, including Google, Amazon, 

and Apple. Its design is based on an IPv6, for seamless integration 

in existing IP networks. 

This work, after a short a practical overview of the Thread 

protocol in general, investigates the network performance in 

different interference scenarios based on results from a hardware 

testbed, set up in an office building. This testbed is based on 

the Nordic Semiconductor nRF52840 System on a Chip (SoC), 

running OpenThread from the official github repository. Besides 

a thorough examination for round-trip-time (RTT) and losses, a 

stability test was performed over five weeks, to see the impact 

of interference during business hours. We measured RTTs in 

the range of 10 to 100 ms and losses up to 40% depending 

on interfering wireless services. Despite its obvious advantages, 

from our experimental results, it is evident how some practical 

limitations make OpenThread not always a good choice.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}