Two main issues that are involved in the performance of multichannel multiradio wireless mesh networks (WMNs) are channel assignment (CA) and multichannel routing (MCR). The joint CA and MCR problem has been proven to be NP-hard. In this paper, we propose to apply genetic algorithms for the CA problem and tackle MCR using linear-programming techniques. Because CA and MCR tend to interact with each other, to reflect such an interplay property, we evaluate the fitness value of a chromosome (certain CA configuration) in our genetic algorithms (GAs) by computing the linear objective function. Therefore, we successfully decouple the two problems and obtain an optimized CA configuration with a corresponding MCR schedule in polynomial time at the WMN planning stage. We demonstrate the detailed genetic evolution processes for three WMNs with different deployment constraints, which serves as a useful guideline on customizing WMNs under various requirements. Simulation results show that the proposed approach effectively increases the network capacity.Index Terms-Genetic algorithm (GA), IEEE 802.11, linear programming (LP), multiradio wireless mesh networks (WMNs), network planning.
As wireless mesh networks become more widely deployed, media streaming in such networks poses a pressing research issue because of the increasing importance of multimedia applications. The challenge with wireless mesh networks is the time-varying wireless channel compounded by multi-hop transmission. However, wireless mesh networks also present an opportunity, i.e., the redundancy provided by broadcast wireless media and mesh connectivity. In this paper, we present a joint interchannel and network coding schema to take advantage of this opportunity and to overcome the challenge of wireless mesh networks. We evaluate of the proposed joint coding through both mathematical analysis and computer simulation. The results demonstrate significant benefits in terms of protection against packet losses and bandwidth utilization of the joint coding schema.
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