Reliable Prediction of Channel Assignment Performance in Wireless Mesh Networks

The advancements in wireless mesh networks\ud (WMN), and the surge in multi-radio multi-channel (MRMC)\ud WMN deployments have spawned a multitude of network per-\ud formance issues. These issues are intricately linked to the\ud adverse\ud impact of endemic interference. Thus, interference mitiga\ud tion is\ud a primary design objective in WMNs. Interference alleviati\ud on is\ud often effected through efficient channel allocation (CA) sc\ud hemes\ud which fully utilize the potential of MRMC environment and\ud also restrain the detrimental impact of interference. Howe\ud ver,\ud numerous CA schemes have been proposed in research literatu\ud re\ud and there is a lack of CA performance prediction techniques\ud which could assist in choosing a suitable CA for a given WMN. I\ud n\ud this work, we propose a reliable interference estimation an\ud d CA\ud performance prediction approach. We demonstrate its effica\ud cy by\ud substantiating the CA performance predictions for a given W\ud MN\ud with experimental data obtained through rigorous simulati\ud ons on\ud an ns-3 802.11g environment