Distributed Systems


Image Credit: Wilgengebroed (CC BY-NC 2.0)

Vision: "A Digital, Data-Driven Society and Sustainable World built from Networked, Autonomous Things”


We do -- mainly data-driven -- systems research on Networked and Distributed Systems (in German: Vernetzte und Verteilte Systeme). We are particularly passionate about the Internet of Things (IoT), Edge & Fog Computing, Edge AI, Autonomous Systems, Smart Cities, Industry 4.0. 

Our work is driven by three trends: (1) sensors are everywhere and give near real-time insights in every aspect of the world, (2) AI is here to stay, (3) nearly everything gets programmable, see RISE-Lab. We love to build systems and play with them (= run experiments and write papers about them). We release our results as open source and evaluate our work on large-scale testbeds with hundreds of wireless nodes. Currently, the group focuses on the following directions:

  • Dependable Internet of Things:
    Dependable low-latency wireless networking in low-power wireless networks.
  • Distributed Computing in the Internet of Things:
    Distributed computing in dynamic and ressource constrained environments. 
  • Low-Power Wireless Networking:
    Bluetooth (BLE), ZigBee / 802.15.4, LoRa, 5G, 5G D2D, 802.11
  • (Edge) AI and Big Data Analytics for IoT:
    Learning and Inference via reinforcement learning and deep neural-networks for distributed and ressource-constrained IoT systems. 
  • Edge Computing:
    Distributed, heterogenous environments of edge and sensor devices, with a focus on distirbited data processing and AI. 
  • Swarms of Autonomous Devices:
    Coordinating maneuvers of in swarms with distributed computing methods
  • Blockchain and the Internet of Things:
    Offline transactions between resource-constrained IoT devices for Blockchains.
  • Security in the Internet of Things:
    Securing IoT and its Operating Systems, Network Stacks, Applications.

Awards include the EWSN Best Paper Award 2019, Best-Professor Award 2019 in Computer Science from the student union, Chalmers Pedagogical Prize 2014, the Best Paper Award at ACM SenSys 2013, and the Best Poster Award at ACM SenSys 2012. Our work was and is funded/supported among others by Kiel University, German Academic Exchange Service (DAAD), Chalmers University of Technology, the Swedish Foundation for Strategic Research (SSF), Swedish Science Foundation (Vetenskapsrådet, VR), the Swedish Energy Agency (Energimyndigheten), the European Union, Göteborg Energi, Texas Instruments and ARM.

The videos below gives an idea about some of the things we are doing

Cooperative Driving

Adaptive Smart Grids

Corona Tracing

Research Funding

Funding for the group, since Olaf Landsiedel joined Chalmers as Assistant Professor in 2012. 

  • Kiel University, Germany (since 2018), 
    • CAPTN „Förde Areal“, Ministry of Transport and Digital Infrastructure (BMVi), Co-PI, 150k Euro to our research group (6,1M Euro total),  2021 - 2023 (2 years)
    • MarData Research Project, part of Helmholtz School for Marine Data Science, Co-PI, about 230k Euro, 2021-2024 (3 years)
    • Project Gemini, Kiel Marine Science (KMS), 100k Euro, Co-PI with Matthias Renz (PI) and Agnes Koschmider, 2021 - 2022 (1 year)
    • AI computing cluster, German Research Foundation (DFG), 280k Euro, Co-PI, with Dirk Nowotka and Steffen Boerm, 2021
    • Corona Wrist Band, German Ministry of Health (BMG), PI, 100k Euro, 2020/2021. Moreover, supported by the Federal State Schleswig-Holstein and the city of Kiel. 
    • EKSH Prestudy "Digitalisierung der Energiewende auf der Quartiersebene - Vernetzung, Datenanalyze, Data Mining", Co-PI with Agnes Koschmider und Sven Tomforde), 18k Euro, 2020
    • PerLe Funds for Innovative Teaching, 2020
    • PerLe Funds for Innovative Teaching, 2019/2020
    • DAAD Grant, "Greenify Older Buildings in Emerging Countries", with Klaus Wehrle (RWTH Aachen) and Hamad Alizai (LUMS), 2019 - 2021
    • Startup Package at CAU Kiel, 2018 - 2022
  • Chalmers University of Technology, Sweden (2012 - 2018, part time since 2019)
    • Swedish Research Council (VR - Vetenskapsrådet), Grant for Researchers, roughly 10% acceptance rate, 2019-2023, roughly 4 MSEK (400k Euro), Personal grant
    • Vinnova Conference Travel Grant, 2017, 25 kSEK (2500 Euro)
    • Swedish Foundation for Strategic Research (SSF - Stiftelsen för Strategisk Forskning), Future Research Leader Grant, less than 10% acceptance rate, 2017-2021, 12 MSEK (1.2M Euro), Personal grant, pursued until October 2018
    • Swedish Research Council (VR - Vetenskapsrådet), Grant for Junior Researchers, roughly 10% acceptance rate, 2015-2018, roughly 3.6 MSEK (360k Euro), Personal grant
    • Göteborg Energi, Project Grant, Magnus Almgren, Vincenzo Gulisano, Olaf Landsiedel, Marina Papatriantafilou (PI), 2015 - 2016, 1.4 MSEK (140k Euro)
    • Swedish Energy Agency (Energimyndigheten), Project Grant, 2013 - 2016, 4.4 MSEK (440k Euro), PI and main applicant, shared grant, with Marina Papatriantafilou and Magnus Almgren
    • Göteborg Energi, Project Grant, Magnus Almgren, Marina Papatriantafilou (PI), 2013 - 2014, I was part of the project but not an applicant
    • Chalmers Internal Funds, several funds from Chalmers for Seed Projects, PostDocs (AoA Transport, Cyber-Physical Chalmers), seed funding (AoA of Energy, E- Science), and quality of teaching; mainly with Marina Papatriantafilou, Magnus Almgren and Elad M. Schiller, with roughly 1.5 MSEK (150k Euro) in total since 2012
    • KaryOn, EU FP7, 2012 – 2014, I was part of the project but not an applicant.
    • Startup Package as Assistant Professor, 2012 - 2016.
    • Donations from Texas Instruments (TI) and ARM of hardware platforms for research and teaching in the area of the Internet of Things.
    • Donations and support from local industry (Delphi, HiQ, XCube, …) for projects on autonomous vehicles, with Christian Berger, 2013 - 2016.


Ongoing Projects

Below, a list of our ongoing projects:

  • Blockchain and the Internet of Things: Offline transactions between resource-constrained IoT devices for Blockchains.
  • AI and Big Data for IoT: Applied Machine Learning for the Internet of Things.
  • Centralized Scheduling and Intermittent Network Stack: Low-Power Wireless Network-Stacks for Intermittent Computing.
  • Secure IoT: Secure Programming of IoT: Operating Systems, Network Stacks, Applications.
  • Edge Computing and Big Data: Edge Computing and Data-Analytics for the Internet of Things.
  • Dependable Internet of Things: Dependable low-latency wireless networking and distributed computing in low-power wireless networks


Completed Projects

Below, a list of our completed projects:

  • Chaos: Distributed Data Aggregation for low-power wireless.
  • Orchestra: Autonomous scheduling for TSCH
  • ORW and ORPL: Opportunistic routing redesigned for WSNs and IoT
  • LibReplay: Easing debugging of networked, embedded systems such as CPS and IoT
  • Sustainable Future Cities: IoT meets Big Data
  • Smart Grids: The Smart Grid meets Big Data


Software Releases

Software releases of projects we have been involved in: