WMN Architectures Research Articles

Broadband communications for high-speed trains via NDN wireless mesh network

With increasing investment and deployment of high speed trains (HST), a critical demand of high bandwidth and the better user experience under high speed mobility arises. Although, TCP/IP has been studied in a static, walking and lower mobility environment, it can not work well at high speed (>50 m/s) cases. The reason is cellular networks use TCP/IP (eg. Mobile-IP) protocol that consumer node requires to connecting to producer node when the consumer handover to anther node. In this paper, we proposed NDN wireless mesh network architecture for HST networking (NDN-Mesh-T), which combined advantages of WMN and NDN architectures. We attempt to solve the reliability and handoff delay problems, which supports high bandwidth and lower latency Internet access in HST scenario. We proposed direction-aware forwarding to keep the same direction of running train, which further improve reliability and bandwidth. The simulation results show that the proposed scheme can significantly improve the packet loss ratio up to 67% comparing to IP. In addition, the proposed can reduce number of node deployments, hanoff delay and data redundancy.

Performance analysis of WMNs by WMN-GA simulation system for two WMN architectures and different TCP congestion-avoidance algorithms and client distributions

Performance analysis of WMNs by WMN-GA simulation system for two WMN architectures and different TCP congestion-avoidance algorithms and client distributions

Performance analysis of a genetic algorithm based system for wireless mesh networks considering exponential and weibull distributions, DCF and EDCA, and different number of flows

In this paper, we evaluate the performance of two WMN architectures (infrastructure/backbone WMNs (I/B WMNs) and Hybrid WMN architectures) considering throughput, delay, jitter and fairness index metrics. For simulations, we used ns-3 and optimized link state routing. We compare the performance of distributed coordination function and enhanced distributed channel access (EDCA) for exponential and Weibull distributions of mesh clients by sending multiple constant bit rate flows in the network. The simulation results show that for exponential distribution, in case of Hybrid WMN, the throughput of both MAC protocols is higher than I/B WMN. For 30 flows, the throughput of EDCA in case of hybrid WMN is about 1.4 times higher than I/B WMN. For Weibull distribution, in case of I/B WMN, the throughput of both MAC protocols is higher than Hybrid WMN. For 30 flows, the throughput of EDCA in case of I/B WMN is about 2.6 times higher than Hybrid WMN. For exponential distribution, the delay and jitter of Hybrid WMN are lower than I/B WMN. For 20 flows, the delay of EDCA in case of hybrid WMN is about 10 times lower than I/B WMN. For Weibull distribution, the delay and jitter of both architectures are almost the same. However, for 10 flows, the delay of I/B WMN is lower compared with hybrid WMN. For exponential distribution, the fairness index of I/B WMN is a little bit higher than hybrid WMN. For Weibull distribution, the fairness index is almost the same for both WMN architectures.

A web interface for wireless mesh networks based on heuristic algorithms: optimisation and analysis for different scenarios

In this work, we present WMN-HC and WMN-SA systems which are based on Hill Climbing HC and Simulated Annealing SA for location assignment of mesh routers in Wireless Mesh Networks WMNs. As evaluation metrics, we used throughput, one-way delay, jitter, fairness index and residual energy. The simulation results show that for WMN-HC, the throughput of 24 mesh routers is good for both WMN architectures. But, for WMN-SA, the throughput is almost the same. For WMN-HC, the delay and jitter of 24 mesh routers is low for both WMN architectures. However, for WMN-SA, the delay and jitter of 32 mesh routers is higher for I/B WMN architecture. For WMN-HC, the fairness index of 16 mesh routers is high for Hybrid WMN architecture. But, for WMN-SA, the fairness index of 32 mesh routers is high for I/B WMN architecture. For 16 and 32 mesh routers, the remaining energy of WMN-HC is higher than WMN-SA.