Quality of Service Issues in Wireless Mesh Networks

Proceedings of the 12th IEEE International Conference on High Performance Computing and Communications, pp. 665- 670, Melbourne, Australia, September 1 - 3, 2010, 2010

Wireless mesh networks (WMNs) have emerged as a key technology for next generation wireless networks showing rapid progress and inspiring numerous applications. The persistence driving force in the development of WMNs comes from their envisioned advantages including extended coverage, robustness, self-configuration, easy maintenance, and low cost. However, to support real-time applications, WMNs must be equipped with a robust, reliable and efficient routing protocol so that packets can be routed through them with minimum delay. In this paper, we identify some critical factors in designing a routing protocol for WMNs, and propose an efficient and reliable routing protocol. The protocol is based on a reliable estimation of wireless link quality and the available bandwidth on a routing path. It also minimizes control overhead by effectively controlling broadcast messages in the network. Simulations carried out on the protocol demonstrate that it is more efficient than some of the current routing protocols.

Wireless Mesh Networks are becoming a reality in today's communication in wireless and mobile environments. Routing is a key component in Wireless Mesh Networks and the choice of the adequate routing metrics has been widely discussed. In this paper, a thorough analysis of the impact of routing metrics on traffic performance is carried out. Moreover, a new interference aware routing metric is presented and evaluated by simulation. This metric, resulting from a composition of metrics that, separately, deal with delay and packet loss takes into account application requirements aiming at providing different levels of Quality of Service. Our results show that the proposed metric improves the loss rate and fulfils the application requirements while maintaining the end-to-end delay values of the compared metrics.

IEEE Network, 2008

Wireless mesh networks (WMNs) are low-cost access networks built on cooperative routing over a backbone composed of stationary wireless routers. WMNs must deal with the highly unstable wireless medium. Thus, routing metrics and protocols are evolving by designing algorithms that consider link quality to choose the best routes. In this work, we analyze the state of the art in WMN metrics and propose a taxonomy for WMN routing protocols. Performance measurements of a wireless mesh network deployed using various routing metrics are presented and corroborate our analysis.

In this paper, I have considered a different Wireless mesh networks (WMNs), which is appearing as an essential technology for new generation wireless networking. A Wireless mesh network is a communication network, made up of radio nodes unite in a mesh topology. It is a form of wireless ad-hoc network consisting of mesh client, routers & gateways. The mesh clients are cell phones, laptops and other wireless devices while the routers forward traffic to and from gateways, which may not connect to the internet. A mesh network is reliable and proposes redundancy. Here it has been focused on various benefits and drawbacks of wireless networks.

proposed routing metrics which are created by considering the link quality, energy and load are discussed.

This paper presents a theoretical as well as simulation model to measure throughput of Wireless Mesh Networks (WMN) at various stages of load sharing. We develop a queue based analytic model which allows us to calculate relative throughput of the multi-gateway WMN. The model is used to calculate WMN throughput improvement in three cases. The first case is when disjoint clusters are created around each gateway of WMN. In second case when a cluster gets overloaded it shares its load with a neighbour cluster. In the third case a wired network support is provided through internetworking when all the clusters are congested and cannot share load with each other. To analyse performance for these three cases we develop an analytic model based on queuing theory. The same three cases are also modelled using MATLAB simulation model. The results obtained through both the models are compared and were found to be very close to each other.

This paper represents the data rate allocation algorithms provide the average data rates at which the source must transmit data. They do not determine scheduling on a time slot basis. To address that, we consider transmission scheduling in wireless networks. We also compare the suggested algorithm with a centralized optimal data rate allocation algorithm to verify that our algorithm follows the optimal solution. Through simulations, we show that fairness provisioning leads to higher network performance. We show that the suggested algorithm outperforms the current algorithms in the literature in terms of both network throughput and fairness provisioning. Wireless networks over the year have undergone huge technological advancements. Due to integration of all three types of services viz. voice, data, video, during improvement in wireless technologies, bandwidth has become the most crucial network resource that needs to be optimized for these bandwidth hungry services. In multi hop scenarios (in WMNs), performance depends on the routing protocol to properly choose routes, given the current network conditions. To efficiently optimize these wireless networks, efficient routing and scheduling techniques needs to be incorporated to improve Quality of Service (QoS). Routing and scheduling techniques have been analyzed. Different techniques in various technologies are discussed to improve network performance.

2014

Today, Internet has become an indispensable part of our daily lives. It has a growing user community in many fields from banking transactions to online entertainment. It will be very efficient for users, as the next generation internet access becomes wireless like frequently used services such as cellular phones. But for providing this, a new network is needed to be designed or an existing network must be improved as well as making changes on infrastructure. At this point, mesh network infrastructure arises and offers more sophisticated internet access with less need. The most important advantage of mesh networks is the capability of working without infrastructure. Mesh networks are an additional access technology more than being a renewed one in the next generation wireless networks called 4G. In this study, wireless mesh networks base architecture and design factors are emphasized, current routing protocols that are used on wireless mesh networks and routing metrics on which these...

2008

Wireless Mesh networks exploit multi-hop wireless communications between Access Points to replace wired infrastructure. For improving the performance of Quality of Service in face of unreliable wireless medium, an adaptive traffic balancing using traffic distribution algorithm has been proposed. In this paper, an adaptive traffic balancing is described to change the verification rule of the traffic state at each node dynamically, according to the number of collisions detected by the node. The simulation has been done to evaluate the developed algorithm. The results show that after deploying adaptive traffic balancing, performance is improved and the system resources are used more efficiently.

IEEE Communications Surveys & Tutorials, 2012

With the advances in wireless technologies and the explosive growth of the Internet, wireless networks, especially Wireless Mesh Networks (WMNs), are going through an important evolution. Designing efficient WMNs has become a major task for networks operators. Over the last few years, a plethora of studies has been carried out to improve the efficiency of wireless networks. However, only a few studies are related to WMNs design and are mainly concerned with protocol design and routing metrics optimization. In this paper, we survey different aspects of WMNs design and examine various methods that have been proposed either to improve the performance of an already deployed network or to improve its performance by a careful planning of its deployment.