International audienceA geometrical artificial anisotropy can be controlled through polarization and propagation properties of guided modes inside annular nano-cavities with elliptical core. In this paper, we theoretically demon- strate the principle of obtaining this anisotropy by exploiting such guided modes. We present here the control of this birefringence through an example of a quarter-wave plate exhibiting a transmission of about 83% in the visible range associated with a giant effective birefringence of around Än = 0:75
Wireless mesh network (WMN) is a practical and cost effective solution for home and business networks. However, in multi-hop wireless mesh networks, the throughput decays significantly with an increase in hop counts. This is primarily due to the increase in successive spatial contentions. As a result, flows with longer hops from the gateway suffer from bandwidth starvation and fair link access disparities. In this paper, we show that the packet size and the minimum contention window size (CW ) play an essential role in improving fairness in multi-hop WMNs. Based on their location in the network and their traffic load; nodes may adapt different packet sizes and various CW s to improve their throughput. We present a Fair Share Algorithm (FSA) that assists each node in computing a fair packet size and a fair CW . We demonstrate that the FSA accomplishes considerably better fairness with minimal negative affect on the overall system throughput. The algorithm results are evaluated and compared with the performance of the default IEEE 802.11 MAC protocol used in wireless mesh networks.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.