Research Article
Topology Sensing in Wireless Networks by Leveraging Symmetrical Connectivity
@INPROCEEDINGS{10.1007/978-3-030-32388-2_5, author={Zitong Liu and Jiachen Sun and Feng Shen and Guoru Ding and Qihui Wu}, title={Topology Sensing in Wireless Networks by Leveraging Symmetrical Connectivity}, proceedings={Machine Learning and Intelligent Communications. 4th International Conference, MLICOM 2019, Nanjing, China, August 24--25, 2019, Proceedings}, proceedings_a={MLICOM}, year={2019}, month={10}, keywords={Topology sensing Symmetrical connectivity Hawkes process Wireless channel}, doi={10.1007/978-3-030-32388-2_5} }- Zitong Liu
Jiachen Sun
Feng Shen
Guoru Ding
Qihui Wu
Year: 2019
Topology Sensing in Wireless Networks by Leveraging Symmetrical Connectivity
MLICOM
Springer
DOI: 10.1007/978-3-030-32388-2_5
Abstract
With the popularization of wireless networks, the role of machine intelligence is becoming more and more important, where the core is that the network needs to make its own decisions through learning. Topology sensing is a fundamental issue in the field of network intellectualization, but most of the related existing studies have focused on wired networks, while the characteristics of wireless networks are relatively few investigated. In this paper, a wireless channel-oriented topology sensing method based on Hawkes process modeling is proposed for the wireless network with symmetrical connectivity. Simulation are carried out to demonstrate that how to combine wireless channel with Hawkes process and how to further process the results to improve performance.