Mats Björkman

Mats Björkman

Mälardalens högskola

H-index: 29

Europe-Sweden

About Mats Björkman

Mats Björkman, With an exceptional h-index of 29 and a recent h-index of 15 (since 2020), a distinguished researcher at Mälardalens högskola, specializes in the field of Predictable wireless communication, network performance estimation.

His recent articles reflect a diverse array of research interests and contributions to the field:

ACTOR: Adaptive Control of Transmission Power in RPL

Diettopp: A first implementation and evaluation of a simplified bandwidth measurement method

ACTOR: Adaptive Control of Transmission Power for Routing in Low-power and Lossy Networks

Jitter Control in Multi-stage Wired Networks via a Sigma Traffic Shaper

On the Deployment of Private Broadband Networks in Surface Mines

Multiple Machine Learning Algorithms Comparison for Coarse Frequency Bands Classification

Deterministic Behavior in a Shared Physical Network

Frequency Bands Classification Using Machine Learning for Frequency Hopping Spread Spectrum

Mats Björkman Information

University

Position

Professor in Computer Communication Sweden

Citations(all)

3781

Citations(since 2020)

940

Cited By

3188

hIndex(all)

29

hIndex(since 2020)

15

i10Index(all)

75

i10Index(since 2020)

25

Email

University Profile Page

Mälardalens högskola

Google Scholar

View Google Scholar Profile

Mats Björkman Skills & Research Interests

Predictable wireless communication

network performance estimation

Top articles of Mats Björkman

Title

Journal

Author(s)

Publication Date

ACTOR: Adaptive Control of Transmission Power in RPL

Sensors

Iliar Rabet

Hossein Fotouhi

Mário Alves

Maryam Vahabi

Mats Björkman

2024/4/6

Diettopp: A first implementation and evaluation of a simplified bandwidth measurement method

arXiv preprint arXiv:2301.06405

Andreas Johnsson

Bob Melander

Mats Björkman

2023/1/16

ACTOR: Adaptive Control of Transmission Power for Routing in Low-power and Lossy Networks

Authorea Preprints

Iliar Rabet

Hossein Fotouhi

Mário Alves

Maryam Vahabi

Mats Björkman

2023/10/31

Jitter Control in Multi-stage Wired Networks via a Sigma Traffic Shaper

Rahul Nandkumar Gore

Elena Lisova

Johan Åkerberg

Mats Björkman

2023

On the Deployment of Private Broadband Networks in Surface Mines

Iliar Rabet

Hossein Fotouhi

Mário Alves

Maryam Vahabi

Mats Björkman

2023/9/12

Multiple Machine Learning Algorithms Comparison for Coarse Frequency Bands Classification

Inna Valieva

B Shashidhar

Mats Björkman

Johan Åkerberg

Mikael Ekström

...

2023

Deterministic Behavior in a Shared Physical Network

2023/5/18

Frequency Bands Classification Using Machine Learning for Frequency Hopping Spread Spectrum

Inna Valieva

B Shashidhar

Mats Björkman

Johan Åkerberg

Mikael Ekström

...

2023

Machine Learning-Based Coarse Frequency Bands Classification For Cognitive Radio Applications

Inna Valieva

Bharath Shashidhar

Mats Björkman

Johan Åkerberg

Mikael Ekström

...

2023/5/9

A flexible communication stack design for improved software development on industrial testbeds and simulators

Computers in Industry

Niclas Ericsson

Johan Åkerberg

Mats Björkman

Tomas Lennvall

Stig Larsson

...

2023/5/1

Performance Analysis of SDN based network management in Content Centric Networks for WSN

Shunmuga Priyan Selvaraju

Ali Balador

Hossein Fotouhi

Mats Björkman

2022

Network calculus approach for packet delay variation analysis of multi-hop wired networks

Applied Sciences

Rahul Nandkumar Gore

Elena Lisova

Johan Åkerberg

Mats Björkman

2022/11/4

Blind Symbol Rate Estimation Using Wavelet Transform and Deep Learning for FSK Modulated Signals

Inna Valieva

Iurii Voitenko

Mats Björkman

Johan Åkerberg

Mikael Ekström

2022/10/20

Blind vacant frequency channels detection for cognitive radio

Inna Valieva

Bharath Shashidhar

Mats Björkman

Johan Åkerberg

Mikael Ekström

...

2022/2/6

Sdmob: Sdn-based mobility management for iot networks

Journal of Sensor and Actuator Networks

Iliar Rabet

Shunmuga Priyan Selvaraju

Hossein Fotouhi

Mário Alves

Maryam Vahabi

...

2022/1/21

Data-driven Method for In-band Network Telemetry Monitoring of Aggregated Traffic

Mehrzad Lavassani

Johan Åkerberg

Mats Björkman

2022/12/14

Modeling and profiling of aggregated industrial network traffic

Applied Sciences

Mehrzad Lavassani

Johan Åkerberg

Mats Björkman

2022/1/11

Machine Learning-Based Frequency Bands Classification for Efficient Frequency Hopping Spread Spectrum Applications

Inna Valieva

Bharath Shashidhar

Mats Björkman

Johan Åkerberg

Mikael Ekström

...

2022/11/28

Health Trend Monitoring by Embedded Sensor Systems for Health

Maria Lindén

Annica Kristoffersson

Mats Björkman

2021

Rpl-rp: Rpl with route projection for transversal routing

Iliar Rabet

Hossein Fotouhi

Maryam Vahabi

Mário Alves

Mats Björkman

2021/6/14

See List of Professors in Mats Björkman University(Mälardalens högskola)

Co-Authors

H-index: 27
Maria Lindén

Maria Lindén

Mälardalens högskola

H-index: 25
Elisabeth Uhlemann

Elisabeth Uhlemann

Mälardalens högskola

academic-engine