Link Failure Prediction Method for Mobile Ad Hoc Networks
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Date
2016
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FACULTY OF MATHEMATICS AND COMPUTER SCIENCE -MOHAMED BOUDIAF UNIVERSITY - M’SILA
Abstract
An important advantage of Mobile Adhoc Networks is the mobility offered to the users. But the mobility is unpredictable and may cause routes to break frequently. Due to frequent changes in the topology of the network this becomes a major technical challenge, link breakages in the network may decrease the routing performance. As having such disadvantages, we have proposed an AODV-LP (AODV with link prediction) algorithm uses the received signal strength, RSS, and the received signal strength changing rate, to predict the link available time, after which an active link will break. The nodesestimate the link breakage time and discover another route to the destination much earlier.The proposed approach is compared with AODV without link prediction. The simulation results show that there is significant reduction in average end-to-end delay and improvement in data packet delivery ratio for AODV with link prediction.
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Keywords
MANET, AODV, Routing, Link prediction, Mobility, RSS.