Beschreibung
by Prof. Falko Dressler
Resilient communication is still a dream, but we are getting closer. One aspect in wireless communications is co-existence of radio communication technologies. Coding, frequency hopping, and dynamic channel assignment techniques have been developed as mitigation strategies. Recently, co-existence has been studied as an opportunity rather than just an annoying nuisance. Cross-technology communication (CTC) is the key to solve performance issues in co-existence scenarios through collaboration and coordination among co-located networks. For example, commercial WiFi chips can be used to emulate ZigBee, Bluetooth, LTE, LoRa, and more. Such CTC obviously also helps enhancing the resilience of larger scale communication platforms. Going beyond, teaming up CTC and network coding opens up an entirely new playground for designing next generation communication networks: high throughput, low latency, and particularly also resilient by design.
Falko Dressler is full professor and Chair for Telecommunication Networks at the School of Electrical Engineering and Computer Science, TU Berlin. He received his M.Sc. and Ph.D. degrees from the Dept. of Computer Science, University of Erlangen in 1998 and 2003, respectively. Dr. Dressler has been associate editor-in-chief for IEEE Trans. on Network Science and Engineering, IEEE Trans. on Mobile Computing and Elsevier Computer Communications as well as an editor for journals such as IEEE/ACM Trans. on Networking, Elsevier Ad Hoc Networks, and Elsevier Nano Communication Networks. He has been chairing conferences such as IEEE INFOCOM, ACM MobiSys, ACM MobiHoc, IEEE VNC, IEEE GLOBECOM. He authored the textbooks Self-Organization in Sensor and Actor Networks published by Wiley & Sons and Vehicular Networking published by Cambridge University Press. He has been an IEEE Distinguished Lecturer as well as an ACM Distinguished Speaker. Dr. Dressler is an IEEE Fellow, an ACM Fellow, and an AAIA Fellow. He is a member of the German National Academy of Science and Engineering (acatech). He has been serving on the IEEE COMSOC Conference Council and the ACM SIGMOBILE Executive Committee. His research objectives include next generation wireless communication systems in combination with distributed machine learning and edge computing for improved resiliency. Application domains include the internet of things, cyber-physical systems, and the internet of bio-nano-things.