Edge Computing and Embedded AI

Cloud Computing caused a massive shift in the IT infrastructure management and application deployment. However, in the continually changing world of IT, what comes next? The technologies of the future, i.e. Augmented Reality (AR), Virtual Reality (VR), Internet of Things (IoT), Autonomous Cars (A.C.), Smart Cities, eHealth, all require instant access to computing power and decision making. The current Cloud and communication technologies offer massive computing power and on-demand access. But can they reliably provide these exceptionally low latencies (7ms for VR and 10ms for A.C.) and guaranteed access in case of a cloud/network outage? The answer is no, and a potential solution is bringing computing closer to the consumer/end-devices. This shift in computing from Cloud to servers near an end-user is called Edge Computing (or Fog Computing/Multi-Access Edge Computing).

Publications

[1] Behailu Negash, Tomi Westerlund and Hannu Tenhunen, "Towards an interoperable Internet of Things through a web of virtual things at the Fog layer", Future Generation Computer Systems (2019) (View) (Download)

[2] Victor Kathan Sarker, Prateeti Mukherjee, Tomi Westerlund, "Enhanced Reliability of Mobile Robots with Sensor Data Estimation at Edge", IEEE Global Conference on Artificial Intelligence & Internet of Things (2020) (View) (Download) (Researchgate)

[3] Anum Nawaz, Jorge Peña Queralta, Jixin Guan, Muhammad Awais, Tuan Nguyen Gia, Ali Kashif, Haibin Kan, Tomi Westerlund, "Edge Computing to Secure IoT Data Ownership and Trade with the Ethereum Blockchain", Sensors (2020) (View) (Download) (Researchgate) (Google Scholar)

[4] Jorge Peña Queralta and Tomi Westerlund, "Blockchain for Mobile Edge Computing: Consensus Mechanisms and Scalability", Mobile Edge Computing (Book Chapter) (2020) (View) (Download) (Researchgate) (arXiv)

[5] Mehar Ullah, Syed Rameez Ullah Kakakhel, Tomi Westerlund, Annika Wolff, Dick Carrillo, Juha Plosila, Pedro H. J. Nardelli , " IoT Protocol Selection for Smart Grid Applications: Merging Qualitative and Quantitative Metrics", 43rd International Convention on Information, Communication and Electronic Technology (2020) (View) (Download)

[6] Wenshuai Zhao, Jorge Peña Queralta, Li Qingqing, Tomi Westerlund, "Ubiquitous Distributed Deep Reinforcement Learning at the Edge: Analyzing Byzantine Agents in Discrete Action Spaces", The 11th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2020) (2020) (View) (Download) (Researchgate) (arXiv)

[7] Tuan Nguyen Gia, Anum Nawaz, Jorge Peña Querata, Hannu Tenhunen, and Tomi Westerlund, "Artificial Intelligence at the Edge in the Blockchain of Things", Wireless Mobile Communication and Healthcare. MobiHealth 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (2019) (View) (Download) (Researchgate)

[8] Victor Kathan Sarker, Li Qingqing and Tomi Westerlund, "3D Perception with Low-cost 2D LIDAR and Edge Computing for Enhanced Obstacle Detection", IEEE International Conference on Industrial Cyber-Physical Systems (ICPS) (2020) (View) (Download) (Researchgate)

[9] Jorge Peña Queralta, Li Qingqing, Tuan Nguyen Gia, Hong-Linh Truong, Tomi Westerlund, "End-to-End Design for Self-Reconfigurable Heterogeneous Robotic Swarms", International Conference on Distributed Computing in Sensor Systems (DCOSS) (2020) (View) (Download) (Researchgate) (arXiv)

[10] Diana Rwegasira, Imed Ben Dhaou, Syed Kakakhel, Tomi Westerlund and Hannu Tenhunen, "Distributed Load Shedding Algorithm for Islanded Microgrid Using Fog Computing Paradigm", The International Energy Conference (2020) (View) (Download) (Researchgate)

[11] Zhuo Zou, Yi Jin, Paavo Nevalainen, Yuxiang Huan, Jukka Heikkonen, Tomi Westerlund, "Edge and Fog Computing Enabled AI for IoT - An Overview", International Conference on Artificial Intelligence Circuits and Systems (AICAS) (2019) (View) (Download) (Researchgate)

[12] Li Qingqing, Jorge Peña Queralta, Tuan Nguyen Gia, Tomi Westerlund, "Offloading Monocular Visual Odometry with Edge Computing: Optimizing Image Quality in Multi-Robot Systems", The 5th International Conference on Systems, Control and Communications (2019) (View) (Download) (Researchgate)

[13] Tuan Nguyen Gia, Jorge Peña Queralta, Tomi Westerlund, "Exploiting LoRa, edge, and fog computing for traffic monitoring in smart cities", LPWAN Technologies for IoT and M2M Applications (2020) (View) (Download) (Researchgate) (Google Scholar)

[14] Jorge Peña Queralta and Tomi Westerlund, "Blockchain-Powered Collaboration in Heterogeneous Swarms of Robots", Preprint (2020) (View) (Download) (Researchgate) (Google Scholar) (arXiv)

[15] Anum Nawaz, Tuan Nguyen Gia, Jorge Peña 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)

[16] Tuan Nguyen Gia, Qingqing Li, Jorge Peña Queralta, Zhuo zou, Hannu Tenhunen, Tomi Westerlund, "Lossless Compression Techniques in Edge Computing for Mission-Critical Applications in the IoT", The 12th International Conference on Mobile Computing and Ubiquitous Networking (2019) (View) (Download)

[17] Li Qingqing, Jorge Peña Queralta, Tuan Nguyen Gia, Hannu Tenhunen, Zhou Zou and Tomi Westerlund, "Visual Odometry Offloading in Internet of Vehicles with Compression at the Edge of the Network", The 12th International Conference on Mobile Computing and Ubiquitous Networking (2019) (View) (Download) (Researchgate)

[18] Henrique Gonçalves Nogueira, Jorge Peña Queralta, Tommi Otsavaara and Tomi Westerlund, "Extending IoT Connectivity of Embedded Devices with M2M High-Speed Acoustic Data Transmission", The 5th International Conference on Communication and Information Processing (2019) (View) (Download)

[19] Aly Metwaly, Jorge Peña Queralta, Victor Kathan Sarker, Tuan Nguyen Gia, Omar Nasir, Tomi Westerlund, "Edge Computing with Embedded AI: Thermal Image Analysis for Occupancy Estimation in Intelligent Buildings", INTelligent Embedded Systems Architectures and Applications, INTESA@ESWEEK 2019 (2019) (View) (Download) (Researchgate)

[20] Tuan Nguyen Gia, Li Qingqing, Jorge Peña Queralta, Zhuo Zou, Hannu Tenhunen and Tomi Westerlund, "Edge AI in Smart Farming IoT: CNNs at the Edge and Fog Computing with LoRa", IEEE AFRICON 2019 (2019) (View) (Download) (Researchgate)

[21] Jorge Peña Queralta, Tuan Nguyen Gia, Hannu Tenhunen and Tomi Westerlund, "Edge-AI in LoRa-based Health Monitoring: Fall Detection System with Fog Computing and LSTM Recurrent Neural Networks", 42nd International Conference on Telecommunications and Signal Processing (TSP) (2019) (View) (Download) (Researchgate)

[22] Jorge Peña Queralta, Tuan Nguyen Gia, Zhuo Zou, Hannu Tenhunen, Tomi Westerlund, "Comparative Study of LPWAN Technologies on Unlicensed Bands for M2M Communication in the IoT: beyond LoRa and LoRaWAN", Procedia Computer Science (2019) (View) (Download) (Researchgate)

[23] Victor Kathan Sarker, Jorge Peña Queralta, Tuan Nguyen Gia, Hannu Tenhunen and Tomi Westerlund, "A Survey on LoRa for IoT: Integrating Edge Computing", International Workshop on Smart Living with IoT, Cloud and Edge Computing (2019) (View) (Download) (Researchgate)

[24] Victor Kathan Sarker, Jorge Peña Queralta, Tuan Nguyen Gia, Hannu Tenhunen and Tomi 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)

[25] Syed Kakakhel, Tomi Westerlund, Masoud Daneshtalab, Zhuo Zou, Juha Plosila, Hannu Tenhunen, "A Qualitative Comparison Model for Application Layer IoT Protocols", The Fifth IEEE International Workshop on Internet of Things: Networking Applications and Technologies (IoTNAT 2019) (2019) (View) (Download)