Improving Routing Performance in AODV with Link Prediction in Mobile Adhoc Networks

A key advantage of Mobile Adhoc Networks is the mobility offered to the users. But the mobility is unpredictable and may cause routes to break frequently. The frequent breaks in routes adversely affect Quality of Service requirement of applications in the mobile wireless networks and thus pose a challenge. In this paper, we have proposed a method for signal strength based link availability prediction to be used in AODV routing. The nodes estimate the link breakage time and further warns the other nodes about the link breaks in the route. Based on this information, either local route repair or new route discovery is initiated much earlier than the route breakage. This reduces the data packet losses as well as end-to-end delay. The proposed approach is compared with AODV without link prediction. The results show that there is significant reduction in packet drops and average end-to-end delay. There is also an improvement in data packet delivery ratio for AODV with link prediction. Proposed approach results in improvement in the Quality of Service.