Abstract
The Wireless Mesh Networks (WMNs) enable routers to communicate with each other wirelessly in order to create a stable network over a wide area at a low cost. There are different methods for optimizing the placement of mesh routers. In our previous work, we proposed a Coverage Construction Method (CCM), CCM-based Hill Climbing (HC) and CCM-based Simulated Annealing (SA) system for mesh router placement problem considering normal and uniform distributions of mesh clients. We also proposed a Delaunay edge and CCM-based SA and considered a realistic scenario for mesh client placement rather than randomly generated mesh clients with normal or uniform distributions. However, this approach required many mesh routers to cover mesh clients located over a wide area. For the Number of Mesh Routers (NMR) optimization, we proposed a NMR-Reduction method. In this paper, we propose an improvement of the NMR-Reduction method with local search to optimize the NMR in WMNs. For the simulations, we consider the evacuation areas in Okayama City, Japan, which is the target to be covered by mesh routers. The simulation results show that the proposed method was able to cover many mesh clients and reduce NMR by an average of about 30 [\(\%\)].
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This work was supported by JSPS KAKENHI Grant Number JP20K19793.
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Hirata, A. et al. (2022). Improvement of NMR-Reduction Method by Local Search for Optimization of Number of Mesh Routers in WMNs. In: Barolli, L., Miwa, H., Enokido, T. (eds) Advances in Network-Based Information Systems. NBiS 2022. Lecture Notes in Networks and Systems, vol 526. Springer, Cham. https://doi.org/10.1007/978-3-031-14314-4_7
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