Dynamic Routing Based on Quality of Service and Quality of Experience using Genetic Algorithm for WMNs

Wireless Mesh Networks are the evolutionary self-organizing and self-configuring networks that can be merged with the various networks and provided broadband access over long distances at low cost and with the minimal infrastructure required. These networks are focused on reliability and capacity of the network and mainly as a replacement for the wired network infrastructure used. In this paper, a new approach is proposed for QoS routing aware of Quality of Experience. In the proposed method, a Genetic Algorithm is employed for improving the Quality of Service routing in a typical network. Moreover, the end-user feedback is utilized to improve the final Quality of Experience. The Proposed algorithm simulation results showed that the proposed Quality of Service routing with multiple constraints aware of the Quality of Experience could effectively improve Quality of Service / Quality of Experience routing performance. The simulation results also showed that the proposed genetic algorithm compared with Ant Colony Optimization routing algorithm has a higher success rate in finding optimal solutions, achieve faster convergence and is the better choice for proposed quality to service routing aware Quality of Experience approach.

کلیدواژه ها:

Dynamic routing ، Wireless Mesh Network ، Quality of Service ، Quality of Experience ، Genetic Algorithm