Volume 7 , Issue 2 , PP: 85-94, 2021 | Cite this article as | XML | Html | PDF | Full Length Article
Mohamed Elhoseny 1 * , X. Yuan 2
Doi: https://doi.org/10.54216/JCIM.070201
Energy efficiency is a significant challenge in mobile ad hoc networks (MANETs) design where the nodes move randomly with limited energy, leading to acceptable topology modifications. Clustering is a widely applied technique to accomplish energy efficiency in MANET. Therefore, this paper designs a new energy-efficient clustering protocol using an enhanced rain optimization algorithm (EECP-EROA) for MANET. The EROA technique is derived by integrating the Levy flight concept to the ROA to enhance global exploration abilities. In addition, the EECP-EROA technique intends to proficiently select CHs and the nearby nodes linked to the CH to generate clusters. Moreover, the EECP-EROA technique has derived an objective function with different input parameters. To showcase the superior performance of the EECP-EROA technique, a brief set of simulations takes place, and the results are inspected under varying aspects. The experimental values pointed out the betterment of the EECP-EROA technique over the other methods.
MANET, Energy efficiency, Clustering, Rain optimization algorithm, Network lifetime
[1] Patel, N.J.K. and Tripathi, K., 2018. Trust value based algorithm to identify and defense gray-hole and black-hole attack present in MANET using clustering method. Int. J. Sci. Res. Sci. Eng. Technol, 4, pp.281-287.
[2] Mohamed, S.S., Abd-Elfattah, A.I. and Mohamed, M.A., 2020. A new clustering technique based on replication for MANET routing protocols. TELKOMNIKA, 18(6), pp.3339-3345.
[3] Muruganandam, S. and Renjit, J.A., 2021. Real-time reliable clustering and secure transmission scheme for QoS development in MANET. Peer-to-Peer Networking and Applications, pp.1-16.
[4] Sharifi, S.A. and Babamir, S.M., 2020. The clustering algorithm for efficient energy management in mobile ad-hoc networks. Computer Networks, 166, p.106983.
[5] Babu, A.S. and Devi, P.M., 2019. Swarm optimised energy hubness clustering to detect and respond to intrusive attack variants in MANET. International Journal of Business Innovation and Research, 18(3), pp.369-391.
[6] Song, Y., Luo, H., Pi, S., Gui, C. and Sun, B., 2020. Graph kernel based clustering algorithm in MANETs. IEEE Access, 8, pp.107650-107660.
[7] Rani, S., 2018. A hybrid and secure clustering technique for isolation of black hole attack in MANET. International Journal of Advanced Research in Computer Engineering & Technology (IJARCET), 7(3).
[8] Sajyth, R.B. and Sujatha, G., 2018, January. Design of data confidential and reliable bee clustering routing protocol in MANET. In 2018 International Conference on Computer Communication and Informatics (ICCCI) (pp. 1-7). IEEE.
[9] Mariadas, A.E.P. and Madhanmohan, R., 2020. Hybrid PSO-DE algorithm-based trust and congestion aware cluster routing algorithm for MANET. International Journal of Cloud Computing, 9(2-3), pp.330-354.
[10] Rathish, C.R., Karpagavadivu, K., Sindhuja, P. and Kousalya, A., 2021. A Hybrid Efficient Distributed Clustering Algorithm Based Intrusion Detection System to Enhance Security in MANET. Information Technology and Control, 50(1), pp.45-54.
[11] QasMarrogy, G.A., Alqaysi, H.J. and Almashhadani, Y.S., 2017, March. Comprehensive study of hierarchical routing protocols in MANET using simple clustering. In Conference of Cihan University-Erbil on Communication Engineering and Computer Science (p. 62).
[12] Ozera, K., Inaba, T., Elmazi, D., Sakamoto, S., Oda, T. and Barolli, L., 2017, March. A fuzzy approach for secure clustering in manets: effects of distance parameter on system performance. In 2017 31st International Conference on Advanced Information Networking and Applications Workshops (WAINA) (pp. 251-258). IEEE.
[13] Pandey, A., Singh, P., Mani, P., Gupta, S. and Verma, J.P.N., 2020. Message Ferry Route Calculation through K-means Clustering Algorithm for Partially-Connected MANET. Webology, 17(2).
[14] Rana, B. and Rana, D., 2017, August. Energy efficient load balancing with clustering approach in MANET. In 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS) (pp. 2019-2024). IEEE.
[15] Kalita, C. and Thakurta, P.K.G., 2018. Energy Efficient Routing to Improve Lifetime in MANET: A Clustering Approach. J. Commun., 13(Nocember), pp.679-684.
[16] MOHINDRA, A.R. and GANDHI, C., 2021. A Secure Cryptography Based Clustering Mechanism for Improving the Data Transmission in MANET. Walailak Journal of Science and Technology (WJST), 18(6), pp.8987-18.
[17] Muruganandam, S. and Renjit, J.A., 2021. Real-time reliable clustering and secure transmission scheme for QoS development in MANET. Peer-to-Peer Networking and Applications, pp.1-16.
[18] Sudhakar, K., Sengottaiyan, N. and Anbukaruppusamy, S., 2021. A hybrid swarm intelligent framework to support efficient military communication in MANET. Journal of Ambient Intelligence and Humanized Computing, 12(5), pp.5215-5223.
[19] Selvakumar, M. and Sudhakar, B., 2021. Energy Efficient Clustering with Secure Routing Protocol Using Hybrid Evolutionary Algorithms for Mobile Adhoc Networks. Wireless Personal Communications, pp.1-19.
[20] Vatambeti, R., Sanshi, S. and Krishna, D.P., 2021. An efficient clustering approach for optimized path selection and route maintenance in mobile ad hoc networks. Journal of Ambient Intelligence and Humanized Computing, pp.1-15.
[21] Moazzeni, A.R. and Khamehchi, E., 2020. Rain optimization algorithm (ROA): A new metaheuristic method for drilling optimization solutions. Journal of Petroleum Science and Engineering, 195, p.107512.
[22] Kamaruzaman, A.F., Zain, A.M., Yusuf, S.M. and Udin, A., 2013. Levy flight algorithm for optimization problems-a literature review. In Applied Mechanics and Materials (Vol. 421, pp. 496-501). Trans Tech Publications Ltd.
[23] Gupta, D., Khanna, A., SK, L., Shankar, K., Furtado, V. and Rodrigues, J.J., 2019. Efficient artificial fish swarm based clustering approach on mobility aware energy‐efficient for MANET. Transactions on Emerging Telecommunications Technologies, 30(9), p.e3524.
