TY - JOUR
T1 - An Optimal Routing Protocol Using a Multiverse Optimizer Algorithm for Wireless Mesh Network
AU - Supraja, P.
AU - Salameh, Anas A.
AU - Varadaraju, H. R.
AU - Anand, M.
AU - Priyadi, Unggul
N1 - Publisher Copyright:
© 2022 Kohat University of Science and Technology. All rights reserved.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - multiverse optimizer algorithm
KW - particle swarm optimization (PSO)
KW - routing protocol
KW - Whale Optimization Algorithm (WOA)
KW - wireless mesh networks (WMN)
UR - http://www.scopus.com/inward/record.url?scp=85147152439&partnerID=8YFLogxK
U2 - 10.17762/ijcnis.v14i3.5569
DO - 10.17762/ijcnis.v14i3.5569
M3 - Article
AN - SCOPUS:85147152439
SN - 2076-0930
VL - 14
SP - 36
EP - 46
JO - International Journal of Communication Networks and Information Security
JF - International Journal of Communication Networks and Information Security
IS - 3
ER -