Abstract
The problem of node placement in a rural wireless mesh network (RWMN) consists of determining router placement which minimizes the number of routers while providing good coverage of the area of interest. This problem is NP-hard with a factorial complexity. This article introduces a new approach, called the simulated annealing-based centre of mass (SAC) for solving this placement problem. The intent of this approach is to improve the robustness and the quality of solution, and to minimize the convergence time of a simulated annealing (SA) approach in solving the same problem in small and large scale. SAC is compared to the centre of mass (CM) and simulated annealing (SA) approaches. The performances of these algorithms were evaluated on a set of 24 instances. The experimental results show that the SAC approach provides the best robustness and solution quality, while decreasing by half the convergence time of the SA algorithm.
Highlights
The ninth United Nations Sustainable Development Goal is to build resilient infrastructure
Since we reduce the number of routers progressively, we compare the algorithms’ performance for each given number of routers; best case, mean and median coverage percentages are recorded after nRun runs of the algorithm
centre of mass (CM) is a descent algorithm which converges quickly to a local optimum; while simulated annealing (SA) employs stochasticity to explore a larger area of the solution space
Summary
The ninth United Nations Sustainable Development Goal is to build resilient infrastructure. One of his targets is to significantly increase access to ICT and strive to provide universal and affordable access to internet in Least Developed Countries by 2020. A Wireless Mesh Network (WMN) is a wireless network in which nodes are connected in a mesh topology. It is based on off-the-shelf Wi-Fi technology. Rural Wireless Mesh Networks (RWMN) are typically composed of only one gateway and a set of mesh routers (MRs) which aim to cover only areas of interest in the locality
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