@inproceedings{c3b836460cb34b16a24c0a5a57bc50eb,
title = "Recognition method of key nodes in SN-UASN based on TOPSIS",
abstract = "In Underwater Acoustic Sensor Networks (UASN), certain key nodes in the network will cause network partition, communication failure, packet loss once they failed to work. Also, because the key nodes are key positions of the UASN, once the malicious behavior of the key nodes occurs, the network performance will drop sharply. This paper first puts forward the key node recognition method for UASN. Also, we propose node usage and hop distance factors to evaluate node's importance. Five factors at the topological level are combined, and using Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) method to evaluate the importance of each node in the UASN. In the experiment, the key nodes are replaced by attack nodes to verify the performance of the algorithm. Experiment results show that the algorithm has a good and effective value.",
keywords = "hop distance, Key nodes, Node importance, TOPSIS, UASN, usage",
author = "Yifan Yuan and Xiaohong Shen and Ke He and Haiyan Wang and Lin Sun and Shilei Ma",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2020 ; Conference date: 21-08-2020 Through 23-08-2020",
year = "2020",
month = aug,
day = "21",
doi = "10.1109/ICSPCC50002.2020.9259549",
language = "英语",
series = "ICSPCC 2020 - IEEE International Conference on Signal Processing, Communications and Computing, Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "ICSPCC 2020 - IEEE International Conference on Signal Processing, Communications and Computing, Proceedings",
}