BC/NW 2025 № 1
(42):13.1
THE INTEGRATION
OF EDGE COMPUTING INTO IoT APPLICATION USING ADVANTEDGE PLATFORM, CASE STUDY:
MOBILITY
Даюб А.,
Кучерявый, Е.А.

As the number of
IoT devices connected to the internet increases, the amount of data explodes.
This leads to a higher demand for internet speed during data transfer and more
requirements for computing power and storage in central servers. To address
these issues and enable real-time data processing while reducing network
bandwidth utilization, edge computing has become a promising solution [1] [2].
This research focuses on the development of the IoT application on the edge
computing platform in case of the mobility of the User Equipment (UE) to solve
problems like latency and network bandwidth occupation for IoT applications
while moving between two zones.
Our
system consists of three main parts: an IoT sensor and two edge computing
servers [2]. This process involves deploying IoT applications to an edge
computing platform, which is in our case AdvantEDGE [3]. IoT applications
simply receive data from IoT devices and apply processing to this data. Then
test connectivity in case the UE moves between the two zones as shown in fig
1.
In conclusion we have presented a
simulated model of an IoT application developed on an edge computing platform,
and we come across the fact that using MEC with IoT we will be able to achieve
latency around (30-50 ms) in case of the mobility between two zones. This model
will open doors to other studies on the idea of developing IoT applications
with the help of MEC, because the MEC is one of the main enabler technologies
for IoT. What we can recommend after this study is to use edge server for
critical applications.
References
1.
Mahbub M. et al.
Multi-Access Edge Computing-Aware Internet of Things: MEC-IoT // 2020 Emerging
Technology in Computing, Communication and Electronics (ETCCE). IEEE, 2020. P.
1–6.
2.
Pan J., McElhannon J.
Future Edge Cloud and Edge Computing for Internet of Things Applications //
IEEE Internet Things J. 2018. Vol. 5, № 1. P. 439–449.
3. AdvantEdge
Platform [Electronic resource]. URL:
https://interdigitalinc.github.io/AdvantEDGE/









