Content deleted Content added
No edit summary |
No edit summary |
||
Line 2:
This algorithm can distinguish the critical nodes of the network with high precision, and the accuracy can reach 90%. The accuracy of this algorithm can reach 100% when identifying non-critical nodes <ref>Zhang, Y.; Zhang, Z.; Zhang, B. A Novel Hybrid Optimization Scheme on Connectivity Restoration Processes for Large Scale Industrial Wireless Sensor and Actuator Networks. Processes 2019, 7, 939. </ref>
The performance of LASCNN is scalable and quite competitive compared to other schemes <ref>Kasali, F. A., Y. A. Adekunle, A. A. Izang, O. Ebiesuwa, and O. Otusile. "Evaluation of Formal Method Usage amongst Babcock University Students in Nigeria." Evaluation 5, no. 1 (2016).</ref>
==Pseudocode==
| |||