Enhanced Safety and Reliability for IoE-based Smart Autonomous Systems

With the accelerated spread of Internet-of-Things (IoT) based cyber-physical systems and ubiquitous sensor data in different fields, there is an inherent need of automation. However, success of such systems largely depends on the operational reliability and efficiency. The functional correctness, efficiency and safety of embedded systems play a crucial role, especially where humans or other living beings are involved in the loop. By employing smart, adaptive and intelligent design techniques, it is possible to ensure that unpredicted and hazardous incidents are prevented or their effects are diminished. This research aims to take a deeper look into the design approaches of underlying embedded systems in terms of the aforementioned aspects within an autonomous system environment to enhance overall system safety and reliability.

Publications

[1] V. K. Sarker, J. Peña Queralta, T. N. Gia, H. Tenhunen and T. Westerlund, "Offloading SLAM for Indoor Mobile Robots with Edge-Fog-Cloud Computing", International Conference on Advances in Science, Engineering and Robotics Technology (2019) (View) (Download) (Researchgate)

[2] Victor Kathan Sarker, Tuan Nguyen Gia, Hannu Tenhunen, Tomi Westerlund, "Lightweight Security Algorithms for Resource-constrained IoT-based Sensor Nodes", IEEE International Conference on Communications 2020 (2020) (View) (Download) (Researchgate)

[3] Anum Nawaz, Tuan Nguyen Gia, Jorge Pena Queralta and Tomi Westerlund, "Edge AI and Blockchain for Privacy-Critical and Data-Sensitive Applications", Twelfth International Conference on Mobile Computing and Ubiquitous Network (ICMU) (2019) (View) (Download) (Researchgate)