An Automatic IP Autoconfiguration Scheme using Harmony Search Algorithm Optimized Hybrid Extreme Learning Machine Model
|International Journal of Electrical and Electronics Engineering|
|© 2022 by SSRG - IJEEE Journal|
|Volume 9 Issue 9|
|Year of Publication : 2022|
|Authors : M. Shiyamalaa Devi, K. Kavitha, K. Kala|
How to Cite?
M. Shiyamalaa Devi, K. Kavitha, K. Kala, "An Automatic IP Autoconfiguration Scheme using Harmony Search Algorithm Optimized Hybrid Extreme Learning Machine Model," SSRG International Journal of Electrical and Electronics Engineering, vol. 9, no. 9, pp. 12-22, 2022. Crossref, https://doi.org/10.14445/23488379/IJEEE-V9I9P102
IP autoconfiguration is the process of allocating unique network settings, flows, policies, and controls. Each node in the network must be configured to connect with other nodes in the system. The centralized DHCP server can accomplish it. Meanwhile, in the mobile ad hoc network (MANET), there are no centralized servers; hence, the autoconfiguration of nodes to the network is arduous. It can be achieved by distributed address autoconfiguration approach, and we proposed a novel Harmony Search Algorithm (HSA) based hybrid structure-adaptive radial basis function-extreme learning machine (HSARBF-ELM) (HSHSAELM) approach for MANET. The proposed HSA is used to detect the duplicate address node. An HSARBF-ELM classifier effectively assigns a reserved address to the new node by classifying the nodes. The proposed HSHSAELM approach effectively achieves the address allocation and duplicate address nodes. Further, it is also used to minimize the communication overhead and ensures unique address allocation to the new nodes. Experimental analysis of our proposed method with state-of-art works shows that our proposed method outperforms all the other approaches.
Harmony Search Algorithm, Autoconfiguration, IP Address, Duplicate Address, MANET, RBF and Agent.
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