Performance improvements for MANET routing protocols using a combination of cat and particle swarm optimization (CPSO)

Document Type : Research Paper

Authors

1 Electrical Engineering, Faculty of Engineering, Razi University, Kermanshah, Iran

2 Electrical Department, Faculty of Engineering, Razi University, Kermanshah, Iran

Abstract

Mobile networking refers to the technology utilized to transmit speech and data between specific mobile network nodes across wireless channels. In general, "mobile" refers to the purposeful, lightweight, and portable technologies that moviegoers may carry. To enhance the MANET routing protocols, a hybrid swarm optimization model has been suggested in this study. The suggested optimization establishes the MANET network as the ideal setting. The suggested approach combines cat swarm optimization (CSO) with particle swarm optimization (PSO). MANT network also called mobile sensor network and utilizing the research's technique, the improvement mechanism (s) that could be employed to end degraded routing concerns and enhance act may be identified. Compared to both PSO and CSO, the results produced by the suggested model are the best.

Keywords

[1] A.M. Abdullah, E. Ozen and H. Bayramoglu, Investigating the impact of mobility models on MANET routing protocols, Int. J. Adv. Comput. Sci. Appl. 10 (2019), no. 2.
[2] A.M. Ahmed, T.A. Rashid and S.A.M. Saeed, Cat swarm optimization algorithm: a survey and performance evaluation, Comput. Intel. Neurosci. 2020 (2020).
[3] M.G.K. Alabdullah, B.M. Atiyah, K.S. Khalaf and S.H. Yadgar, Analysis and simulation of three MANET routing protocols: a research on AODV, DSR & DSDV characteristics and their performance evaluation, Period. Engin.Natural Sci (PEN) 7 (2019), no. 3, 1228–1238.
[4] F.T. AL-Dhief, N. Sabri, M.S. Salim, S. Fouad and S.A. Aljunid, MANET routing protocols evaluation: AODV, DSR and DSDV perspective, In MATEC web of conferences, EDP Sci. 150 (2018), p. 06024.
[5] S.M. Ali, A.H. Alsaeedi, D. Al-Shammary, H.H. Alsaeedi and H.W. Abid, Efficient intelligent system for diagnosis pneumonia (sars-covid19) in x-ray images empowered with initial clustering, Indones. J. Electr. Eng. Comput. Sci. 22 (2021), no. 1, 241–251.
[6] S.M. Alkahtani and F. Alturki, Performance evaluation of different mobile Ad-hoc network routing protocols in difficult situations, Int. J. Adv. Comput. Sci. Appl. 12 (2021), no. 1.
[7] M. Alnabhan, M. Alshuqran, M. Hammad and M. Al Nawayseh, Performance evaluation of unicast routing protocols in MANETs-current state and future prospects, Int. J. Interact. Mobile Technol. 11 (2017), no. 1.
[8] S.C. Chu, P.W. Tsai and J.S. Pan, Cat swarm optimization, Q. Yang and G. Webb (eds.), PRICAI 2006: trends in artificial intelligence, PRICAI 2006, Lecture Notes in Computer Science, Springer, Berlin, Heidelberg, 2006.
[9] M.S. Daas and S. Chikhi, Response surface methodology for performance analysis and modeling of manet routing protocols, Int. J. Comput. Network Commun. 10 (2018), no. 1, 45–61.
[10] J. Garc´ıa-Nieto and E. Alba, Automatic parameter tuning with metaheuristics of the AODV routing protocol for vehicular ad-hoc network, Eur. Conf. Appl. Evol. Comput., Springer, 2010, pp. 21–30.
[11] A. Habboush, Ant colony optimization (ACO) based MANET routing protocols: a comprehensive review, Comput. Inf. Sci. 12 (2019), no. 1, 82–92.
[12] M. Ilyas, The handbook of wireless ad hoc network, CRC Press, 2003.
[13] J. Kennedy and R. Eberhart, Particle swarm optimization, Proc. ICNN’95 Int. Conf. Neural Networks, IEEE 4 (1995), 1942–1948.
[14] S. Kumar, V.S. Raghavan and J. Deng, Medium access control protocols for ad hoc wireless network: a survey, Ad hoc Network 4 (2006), no. 3, 326–358.
[15] J. Kuruvila, A. Nayak and I. Stojmenovic, Progress, and location based localized aware power routing for ad hoc and sensor wireless network, Int. J. Distrib. Sensor Network 2 (2006), no. 2, 147–159.
[16] F. L¨u and C. Qin, Particle swarm optimization-based BP neural network for UHV DC insulator pollution forecasting, J. Eng. Sci. Tech. Rev. 7 (2014), no. 1.
[17] H. Luo, P. Zerfos, J. Kong, S. Lu and L. Zhang, Self-securing ad hoc wireless network, ISCC 2 (2002), 548–555.
[18] S. Mirjalili and A. Lewis, S-shaped versus V-shaped transfer functions for binary particle swarm optimization, Swarm Evol. Comput. 9 (2013), 1–14.
[19] A. Mishra, S. Singh and A.K. Tripathi, Comparison of MANET routing protocols, Int. J. Comput. Sci. Mob. Comput. 8 (2019), 67–74.
[20] A.S. Mustafa, M.M. Al-Heeti, M.M. Hamdi and A.M. Shantaf, Performance analyzing the effect of network size on routing protocols in MANETs, In 2020 Int. Cong. Human-Comput. Interact. Optim. Robotic Appl. (HORA), IEEE, 2020, pp. 1–5.
[21] D.T. Nghi, H.L.T. Nhan, N.T. Loi and B.T.T. Trang, Distributed database strategies in a healthcare record systems, Int. Nurs. Conf. Chronic Diseases Manag., 2019, pp. 7–11.
[22] P. Sarao, Comparison of AODV, DSR, and DSDV routing protocols in a wireless network, J. Commun. 13 (2018), no. 4, 175–181.
[23] A.O. Topal and O. Altun, A novel meta-heuristic algorithm: dynamic virtual bats algorithm, Inf. Sci. 354 (2016), 222–235.
Volume 14, Issue 1
January 2023
Pages 2821-2829
  • Receive Date: 26 October 2022
  • Revise Date: 24 December 2022
  • Accept Date: 02 January 2023