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
pdf
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

Abstract:

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.

Keywords:

Harmony Search Algorithm, Autoconfiguration, IP Address, Duplicate Address, MANET, RBF and Agent.

References:

[1] Ackerson, Emmanuel, Ferdinand Katsriku, and Jamal-Deenabdulai, “Stateless Optimization Scheme for Ipv6 Address Assignment in Wireless Sensor Network (WSN),” Int. J. Sci. Res. in Computer Science and Engineering, vol.8, no.4, 2020.
[2] Ghosh, Uttam, Pushpita Chatterjee, Raja Datta, Al-Sakib Khan Pathan, and Danda B. Rawat, “Secure Addressing Protocols for Mobile Ad Hoc Networks,” in Security Analytics for the Internet of Everything, CRC Press, pp.193-212, 2020.
[3] Samuel, Rajulaangelin, and D. Shalini Punithavathani, “Designing A New Scalable Autoconfiguration Protocol With Optimal Header Selection for Large Scale Manets,” Journal of Circuits, Systems and Computers, vol.29, no.05, pp.2050068, 2020.
[4] Yang, Hua, Guojun Liu, Weiming Yang, and Chenglong He, “Dynamic IP Address Allocation with New Virtual Server Configuration Method,” in 2020 12th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC), IEEE, vol.2, pp.92- 95, 2020.
[5] Stewart, Randall, Qiaobingxie, Michael Tuexen, Shin Maruyama, and Masahiro Kozuka, “Stream Control Transmission Protocol (SCTP) Dynamic Address Reconfiguration,” RFC 5061 (Proposed Standard), vol.2, no.1, 2007.
[6] Geem, Zong Woo, Joonghoon Kim, and Gobichettipalayam Vasudevan Loganathan, “A New Heuristic Optimization Algorithm: Harmony Search,” Simulation, vol.76, no.2 , pp.60-68, 2001.
[7] Gbayan Bundega Martins et al, “A Novel Dynamically Sensing and Resource Allocation in a Cognitive Radio Network Using Inspiration from Hemoglobin Binding Algorithm,” International Journal of Recent Engineering Science, vol.9, no.1, pp.22-30, 2022. Crossref, https://doi.org/10.14445/23497157/IJRES-V9I1P104.
[8] Abbas, Cláudia J. Barenco, Georges Amvame-Nze, and L. Javier García Villalba, “Performance Evaluation of Mobile IP Agents’ Auto-Reconfiguration Mechanisms in MANET,” in International Conference on Embedded and Ubiquitous Computing, Springer, Berlin, Heidelberg, pp.844-853, 2006.
[9] Amvame-Nze, Georges, Cláudia J. Barenco Abbas, and L. Javier García-Villalba, “Evaluation of the Dynamic Reconfiguration of Mobile Ipv4 Agents in MANET,” in Wireless and Optical Communications, 2006.
[10] Lee, Geunhyung, Longzhe Han, Yunhui Park, Jung-Been Lee, Juwon Kim, and Hoh Peter in, “An Energy-Efficient Routing Protocol for CCN-Based Manets,” International Journal of Smart Home, vol.7, no.1, pp.143-152, 2013.
[11] Jung, Younchan, and Matnelperadilla, “Domain Name to IP Address Resolution System with Multiple Name Servers Adaptable to Manets,” in 2012 IEEE 11th International Conference on Trust, Security and Privacy in Computing and Communications, pp.1348- 1357. IEEE, 2012.
[12] Rajesh Kumar M R, S.P.Malarvizhi, “Neighbor Discovery Based Routing in Code Based Mobil e Adhoc Networks,” SSRG International Journal of Computer Science and Engineering, vol.4, no.1, pp.14-18, 2017. Crossref, https://doi.org/10.14445/23488387/IJCSE-V4I1P103.
[13] Korichi, Afaf, and Youcefzafoune, “MAAC Protocol: Mobile Agents Based Address Auto-Configuration Protocol for MANET,” in 2018 International Conference on Smart Communications in Network Technologies (Saconet), IEEE, pp.194-199, 2018.
[14] Jiang, Xiangtao, Hui Huang, Dongjun Xin, and Jiayi Du, “The Simulation of Address Autoconfiguration Protocols in Mobile Ad Hoc Networks Based on NS2,” in 2018 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) IEEE, pp.1294-1299, 2018.
[15] Priya, J. Sathya, M. A. Femina, and R. A. Samuel, “APSO-MVS: An Adaptive Particle Swarm Optimization Incorporating Multiple Velocity Strategies for Optimal Leader Selection in Hybrid Manets,” Soft Computing , vol.24, pp.18349-18365, 2020.
[16] S.V.Karthik, “A Study on Wireless Sensor Networks and Mobile Ad Hoc Networks,” International Journal of P2P Network Trends and Technology, vol.9, no.6, pp.8-11, 2019. Crossref, https://doi.org/10.14445/22492615/IJPTT-V9I6P403.
[17] Wen, Hui, Hongguang Fan, Weixinxie, and Jihong Pei, “Hybrid Structure-Adaptive RBF-ELM Network Classifier,” IEEE Access, vol.5, pp.16539-16554, 2017.
[18] Devroye, L., & Wagner, T, “Distribution-Free Performance Bounds for Potential Function Rules,” IEEE Transactions on Information Theory, vol.25, no.5, pp.601-604, 1979.
[19] Indu Sharma, Shaina Pundir, “Enhancement in AOMDV Protocol to Reduce Chances of Link Failure in Mobile Adhoc Network,” International Journal of Computer & Organization Trends (IJCOT), vol.6, no.2, pp.17-20, 2016. Crossref, https://doi.org/10.14445/22492593/IJCOT-V33P304.
[20] Ding, Shifei, Han Zhao, Yanan Zhang, Xinzheng Xu, and Ru Nie, “Extreme Learning Machine: Algorithm, Theory and Applications,” Artificial Intelligence Review, vol.44, no.1, pp.103-115, 2015. 
[21] Kim, Namhoon, Soyeonahn, and Younghee Lee, “AROD: An Address Autoconfiguration With Address Reservation and Optimistic Duplicated Address Detection for Mobile Ad Hoc Networks,” Computer Communications, vol.30, no.8, pp.1913-1925, 2007.
[22] D. Naga Tej, K V Ramana, “An Application Data Privacy Preservation Strategy for MANET 2ACK to Identify and Mitigate the Effect of Routing Issue,” International Journal of Engineering Trends and Technology, vol.70, no.7, pp.377-387, 2022. Crossref, https://doi.org/10.14445/22315381/IJETT-V70I7P239.
[23] Abbasi, Maysam, Ehsan Abbasi, and Behnam Mohammadi-Ivatloo, “Single and Multi-Objective Optimal Power Flow Using A New Differential-Based Harmony Search Algorithm,” Journal of Ambient Intelligence and Humanized Computing , vol.12, pp.851-871, 2021.
[24] Chardet, Maverick, Hélène Coullon, and Simon Robillard, “Toward Safe and Efficient Reconfiguration With Concerto,” Science of Computer Programming, vol.203, pp.102582, 2021.
[25] Soares, E., Aguiar, A., Brandão, P., & Prior, R, “Service for MANET Node Self-Configuration and Communication,” in 2018 11th IFIP Wireless and Mobile Networking Conference (WMNC), IEEE, pp.1-8, 2018.
[26] Wen, Hui, Tongbin Li, Deli Chen, Jianlu Yang, and Yan Che, “An Optimized Neural Network Classification Method Based on Kernel Holistic Learning and Division,” Mathematical Problems in Engineering, 2021.