Reinforcement Learning for Admission Control in Wireless Virtual Network Embedding
H. Afifi, F.J. Sauer, H. Karl, in: 2021 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) (ANTS’21), Hyderabad, India, 2021.

A Reinforcement Learning QoI/QoS-Aware Approach in Acoustic Sensor Networks
H. Afifi, A. Ramaswamy, H. Karl, in: 2021 IEEE 18th Annual Consumer Communications \'26; Networking Conference (CCNC) (CCNC 2021), 2021.

Computational self-awareness as design approach for visual sensor nodes
Z. Guettatfi, P. Hübner, M. Platzner, B. Rinner, in: 12th International Symposium on Reconfigurable Communication-Centric Systems-on-Chip (ReCoSoC), 2017, pp. 1–8.

Acoustic Microphone Geometry Calibration: An overview and experimental evaluation of state-of-the-art algorithms
A. Plinge, F. Jacob, R. Haeb-Umbach, G.A. Fink, IEEE Signal Processing Magazine 33 (2016) 14–29.

On the Admission of Dependent Flows in Powerful Sensor Networks
R. Cohen, I. Nudelman, G. Polevoy, Networking, IEEE/ACM Transactions On 21 (2013) 1461–1471.