![]() ![]() A DMesh implementation in our 802.11b WMN testbed using commercially available practical directional antennas provides TCP throughput gains ranging from 31% to 57%. Simulation results show that DMesh improves the throughput of WMNs by up to 231% and reduces packet delay drastically compared to a multi-radio multi-channel omni network. Central to our architecture is a distributed, directional channel assignment algorithm for mesh routers that effectively exploits the spatial and frequency separation opportunities in a DMesh network. In this paper, we study how such practical directional antennas can improve the throughput of a WMN. The key challenge in DMesh is to exploit spatial separation from such practical directional antennas despite their lack of electronic steerability and interference nulling as well as the presence of significant sidelobes and backlobes. Thus, in DMesh, we focus our effort on incorporating practical directional antennas that are widely and cheaply available (e.g. The high cost of smart beamforming directional antennas and their form factor make it difficult to achieve these two requirements. An important requirement in DMesh is to accomplish this throughput improvement without inhibiting the other two key WMN requirements: cost-effectiveness and ease of deployability. In this paper, we propose DMesh, a WMN architecture that combines spatial separation from directional antennas with frequency separation from orthogonal channels to improve the throughput of WMNs. ![]() Compared to omni antennas, directional antennas offer spatial separation between contending transmissions and have the potential to further enhance the throughput of WMNs. Recent research has focused on increasing WMN throughput assuming the use of multiple radios equipped with omnidirectional antennas accompanied with channel assignment to enable frequency separation between contending transmissions. In, the regression algorithm is based on a least squares approach comparing experimental data and the model generated using FEM.In, the model is built from a physical analogy that solves some problems on the linear system. Three key factors that affect the usability of WMNs are high throughput, costeffectiveness and ease of deployability. The authors in previous papers, using different methodologies, have studied regression methods based on the FEM. Wireless mesh networks (WMNs) have been proposed as an effective solution for ubiquitous lastmile broadband access. ![]()
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