An Optimal Routing Protocol Using a Multiverse Optimizer Algorithm for Wireless Mesh Network

Authors

  • Dr. P. Supraja Associate Professor, Department of Networking and Communications SRM India
  • Anas A. Salameh Department of Management Information Systems, College of Business Administration, Prince Sattam Bin Abdulaziz University, 165 Al-Kharj 11942, Saudi Arabia.
  • Dr. Varadaraju H R Professor and HOD, Department of Electronics and Communication Engineering, Akshaya Institute of Technology, TUMKUR
  • Dr M. Anand Professor, Department of ECE, Dr M.G.R Educational and Research Institute India
  • Unggul Priyadi Department of Economics, Faculty of Business and Economics, Universitas Islam Indonesia, 55283 Yogyakarta, Indonesia

DOI:

https://doi.org/10.17762/ijcnis.v14i3.5569

Keywords:

wireless mesh networks, multiverse optimizer algorithm, routing protocol, Whale Optimization Algorithm (WOA), particle swarm optimization (PSO)

Abstract

Wireless networks, particularly Wireless Mesh Networks (WMNs), are undergoing a significant change as a result of wireless technology advancements and the Internet's rapid expansion. Mesh routers, which have limited mobility and serve as the foundation of WMN, are made up of mesh clients and form the core of WMNs. Mesh clients can with mesh routers to create a client mesh network. Mesh clients can be either stationary or mobile. To properly utilise the network resources of WMNs, a topology must be designed that provides the best client coverage and network connectivity. Finding the ideal answer to the WMN mesh router placement dilemma will resolve this issue MRP-WMN. Since the MRP-WMN is known to be NP-hard, approximation methods are frequently used to solve it. This is another reason we are carrying out this task. Using the Multi-Verse Optimizer algorithm, we provide a quick technique for resolving the MRP-WMN (MVO). It is also proposed to create a new objective function for the MRP-WMN that accounts for the connected client ratio and connected router ratio, two crucial performance indicators. The connected client ratio rises by an average of 16.1%, 12.5%, and 6.9% according to experiment data, when the MVO method is employed to solve the MRP-WMN problem, the path loss falls by 1.3, 0.9, and 0.6 dB when compared to the Particle Swarm Optimization (PSO) and Whale Optimization Algorithm (WOA), correspondingly.

Author Biographies

Dr. P. Supraja, Associate Professor, Department of Networking and Communications SRM India

     

Anas A. Salameh, Department of Management Information Systems, College of Business Administration, Prince Sattam Bin Abdulaziz University, 165 Al-Kharj 11942, Saudi Arabia.

     

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Published

2022-12-23

How to Cite

Supraja, D. P., Salameh, A. A. ., H R, D. V. ., Anand, D. M., & Priyadi, U. . (2022). An Optimal Routing Protocol Using a Multiverse Optimizer Algorithm for Wireless Mesh Network. International Journal of Communication Networks and Information Security (IJCNIS), 14(3), 36–46. https://doi.org/10.17762/ijcnis.v14i3.5569

Issue

Section

Research Articles