Efficiency of large - scale DC - networks
نویسنده
چکیده
DC-networks offer desirable properties for anonymous communication, but a practical implementation for large networks is challenging. Other approaches like Tor exist and are easier to use in large networks, but they do not provide strong anonymity. This thesis describes a design for a DC-network implementation that targets large networks. It does not offer new methods to counter attacks, but it does overcome practical limitations and bottlenecks of classical DC-networks. A prototype implementation is provided which uses this design and which can be used in future research on large-scale DC-networks. Scheduling has a crucial influence on the throughput of large DC-networks, since all clients share a single communication channel. A novel scheduling algorithm, called Fingerprint scheduling, is presented, which efficiently organizes access to this shared channel while being stable in the face of unreliable client connectivity. Using simulations, the performance of this algorithm is compared to the performance of existing scheduling protocols for up to 50, 000 clients. The results show that Fingerprint scheduling is the scheduling algorithm of choice for large DC-networks.
منابع مشابه
Fault Detection and Location in DC Microgrids by Recurrent Neural Networks and Decision Tree Classifier
Microgrids have played an important role in distribution networks during recent years. DC microgrids are very popular among researchers because of their benefits. Protection is one of the significant challenges in the way of microgrids progress. As a result, in this paper, a fault detection and location scheme for DC microgrids is proposed. Due to advances in Artificial Intelligence (AI) and s...
متن کاملLPKP: location-based probabilistic key pre-distribution scheme for large-scale wireless sensor networks using graph coloring
Communication security of wireless sensor networks is achieved using cryptographic keys assigned to the nodes. Due to resource constraints in such networks, random key pre-distribution schemes are of high interest. Although in most of these schemes no location information is considered, there are scenarios that location information can be obtained by nodes after their deployment. In this paper,...
متن کاملDecentralized Adaptive Control of Large-Scale Non-affine Nonlinear Time-Delay Systems Using Neural Networks
In this paper, a decentralized adaptive neural controller is proposed for a class of large-scale nonlinear systems with unknown nonlinear, non-affine subsystems and unknown nonlinear time-delay interconnections. The stability of the closed loop system is guaranteed through Lyapunov-Krasovskii stability analysis. Simulation results are provided to show the effectiveness of the proposed approache...
متن کامل