OPT: Ondemand Probabilistic Time Variant Approach for Dynamic Route Selection on Wireless Mesh Networks under Dynamic Traffic Conditions

The performance of wireless mesh networks is highly depending on route selection under high traffic conditions. The traffic conditions will be varying at all time frames due to the conditions of wireless nodes, which affect the throughput of the network. There exist various approaches to handle the route selection under dynamic conditions but suffers with quality of service parameters. The changing conditions of wireless mesh network makes difficult for the node to select traversal paths. In WSN all the nodes performs source routing, which lead to higher traffic at few nodes which also suffers the network. We propose a time variant approach which works on the probability of traffic conditions. The proposed method estimates the traffic at each time window and computes the probability of traffic could occur at next time window. Each node maintains traffic details of current time window and previous time window, specifies sequence number, source, destination addresses and time details. Using these details from traffic matrix, the proposed approach computes the time variant traffic estimate based on which the new route will be selected. The initial routing starts with single hop traffic condition and shortest routing scheme, whereas the later routing are based on probabilistic approach. The proposed route selection scheme has improved the performance of the network by 95% than earlier methodologies.