Eyuel Debebe Ayele is a PhD student in the Pervasive Systems Research Group at the University of Twente. Prior to beginning the PhD program, Eyuel received his M.Sc. from the Technology University of Delft faculty of Mathematics and Electrical Engineering. Before that, he received a B.Sc. in Electrical Engineering from Hawassa University, Ethiopia. He served as a telecom engineer at the Huawei telecom corporation. Before joining the research group he was a research assistant at the Technology University of Dresden, Germany. The topic of his current research project is “Smart Parks: Internet of Wild animals by leveraging IoT network technologies”. His primary research interests lie in resource management for Internet of Things (IoT) networks, including medium access control and routing, autonomous systems, intelligent wireless sensor networks, adaptive algorithm and protocol design.
Internet Of Things
Wireless Sensor Networks
Medium Access Control
Equipment And Supplies
Ayele, E. D., Meratnia, N., & Havinga, P. J. M. (2018). Towards A New Opportunistic IoT Network Architecture for Wildlife Monitoring System. Paper presented at 2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS), Paris, France.
Ayele, E. D., Meratnia, N., & Havinga, P. J. M. (2018). MANER: Managed Data Dissemination Scheme for LoRa IoT Enabled Wildlife Monitoring System (WMS). Paper presented at 2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS), Paris, France.
Ayele, E. D., Hakkenberg, C., Meijers, J. P., Zhang, K., Meratnia, N., & Havinga, P. J. M. (2017). Performance analysis of LoRa radio for an indoor IoT applications. In Internet of Things for the Global Community, IoTGC 2017 - Proceedings  Institute of Electrical and Electronics Engineers Inc.. DOI: 10.1109/IoTGC.2017.8008973
Zhang, K., Ayele, E. D., Meratnia, N., Havinga, P. J. M., Guo, P., & Wu, Y. (2017). MobiBone: An energy-efficient and adaptive network protocol to support short rendezvous between static and mobile wireless sensor nodes. In 2017 International Conference on Computing, Networking and Communications, ICNC 2017 (pp. 1024-1030).  Piscataway, NJ: IEEE. DOI: 10.1109/ICCNC.2017.7876275
Ansar, Z., Wen, J., Ayele, E. D., & Dargi, W. (2015). An efficient burst transmission scheme for wireless sensor networks. In MSWiM 2015 - Proceedings of the 18th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (pp. 151-155). Association for Computing Machinery. DOI: 10.1145/2811587.2811622