Abstract
Wireless Mesh Networks (WMNs) have many advantages compared with the conventional Wireless Local Area Networks (WLANs) such as system resiliency, low cost, flexible coverage areas, rapid deployment, easy deployment, easy maintenance and high robustness. However, WMNs have some problems related with the node placement that effect the network connectivity and user coverage. To solve these problems, we consider to optimize the location of mesh routers in WMNs. However, the mesh router placement is known to be an NP-hard problem. For this reason, we propose and evaluate a hybrid simulation system based on Particle Swarm Optimization (PSO) and Hill Climbing (HC) called WMN-PSOHC. In our previous work, we proposed and implemented Linearly Decreasing Vmax Method (LDVM). In this paper, we propose and implement a Fast Convergence Rational Decrement of Vmax Method (FC-RDVM). We compare the performance of FC-RDVM with LDVM. Simulation results show that FC-RDVM has better performance compared with LDVM.
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Sakamoto, S., Barolli, A., Liu, Y., Kulla, E., Barolli, L., Takizawa, M. (2022). A Comparison Study of FC-RDVM and LDVM Router Placement Methods for WMNs by WMN-PSOHC Hybrid Intelligent System Considering Normal Distribution of Mesh Clients. In: Barolli, L. (eds) Innovative Mobile and Internet Services in Ubiquitous Computing. IMIS 2022. Lecture Notes in Networks and Systems, vol 496. Springer, Cham. https://doi.org/10.1007/978-3-031-08819-3_24
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DOI: https://doi.org/10.1007/978-3-031-08819-3_24
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