LASCNN algorithm: Difference between revisions

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In graph theory, '''LASCNN''' is a '''L'''ocalized '''A'''lgorithm for '''S'''egregation of '''C'''ritical/'''N'''on-critical '''N'''odes <ref>Muhammad Imran, Mohamed A. Alnuem, Mahmoud S. Fayed, and Atif Alamri. "Localized algorithm for segregation of critical/non-critical nodes in mobile ad hoc and sensor networks." Procedia Computer Science 19 (2013): 1167–1172.</ref> The algorithm works on the principle of distinguishing between critical and non-critical nodes for network connectivity based on limited topology information.<ref>N. Javaid, A. Ahmad, M. Imran, A. A. Alhamed and M. Guizani, "BIETX: A new quality link metric for Static Wireless Multi-hop Networks," 2016 International Wireless Communications and Mobile Computing Conference (IWCMC), Paphos, 2016, pp. 784–789, {{doi: |10.1109/IWCMC.2016.7577157}}.</ref> The algorithm finds the critical nodes with partial information within a few hops.<ref>Kim, Beom-Su, Kyong Hoon Kim, and Ki-Il Kim. "A survey on mobility support in wireless body area networks." Sensors 17, no. 4 (2017): 797.</ref>

This algorithm can distinguish the critical nodes of the network with high precision, indeed, accuracy 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==

The LASCNN algorithm establishes a {{Var|k}}-hop neighbor list and a duplicate free pair wise connection list based on {{Var|k}}-hop information. If the neighbors are stay connected then the node is non-critical.<ref>G. Sugithaetal., International Journal of Advanced Engineering Technology E-ISSN 0976-3945</ref><ref>Mohammed Alnuem, Nazir Ahmad Zafar, Muhammad Imran, Sana Ullah, and Mahmoud S. Fayed. "Formal specification and validation of a localized algorithm for segregation of critical/noncritical nodes in MAHSNs." International Journal of Distributed Sensor Networks 10, no. 6 (2014): 140973</ref>

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==Implementation==

[[File:Critical_Nodes_Application.png|thumb|300px|Critical Nodes Application - An implementation for the LASCNN algorithm using PWCT]]

The Critical Nodes application is a Free Open-Source implementation for the LASCNN algorithm. The application iswas developed in 2013 using the [[PWCT_(software)PWCT|Programming Without Coding Technology]] software. <ref>Fayed, Al-Qurishi, Alamri, Aldariseh (2017) PWCT: visual language for IoT and cloud computing applications and systems, ACM</ref>

==See also==

* [[Connectivity_(graph_theory)|Connectivity (graph theory)]]

* [[Dynamic_connectivity|Dynamic connectivity]]

* [[Strength of a graph|Strength of a graph]]

* [[Cheeger_constant_(graph_theory)|Cheeger constant (graph theory)]]

* [[Critical_point_(network_science)|Critical point (network science)]]

* [[Depth-first_search|Depth-first search]]

* [[Breadth-first search|Breadth-first search]]

==References==

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==External links==

* [https://sourceforge.net/projects/criticalnodes/ Critical Nodes application]

[[Category:Networks]]