Background & Objective: In the design of ad-hoc networks, potential challenge is how to
route information reliably and efficiently from one node to another in high level of mobility. Moreover,
remaining queuing capacity is also affected on the packet loss. Much research efforts have been
consistently done to create protocols that consider minimum bandwidth, better throughput and less average
delay. It is widely accepted that only quality of service (QoS) fulfillment can guarantee the requirements
in ad-hoc networks and improve the overall network performance.
Conclusion and Results: This paper proposes a QoS-aware optimized link state routing protocol
(QOLSR) to enhance data transmission efficiency in cognitive radio ad-hoc networks (CRAHNs). The
proposed algorithm utilizes link quality estimation metric and provides best end-to-end paths based on
generalization of Dijkstra’s algorithm. We implement two routing algorithms, AODV and OLSR and
compare their performance. Simulation is performed using NS-2.35 and the results show that the proposed
algorithm outperforms the existing baseline AODV routing algorithm.
Keywords: Ad-hoc Network, cognitive radio, DSA, QOLSR, QoS, routing algorithms.
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